Total Information Awareness

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Diagram of the Total Information Awareness system from the official (decommissioned) Information Awareness Office website Total Information Awareness -- system diagram.gif
Diagram of the Total Information Awareness system from the official (decommissioned) Information Awareness Office website
Presentation slide produced by DARPA describing TIA TIA graphic.gif
Presentation slide produced by DARPA describing TIA

Total Information Awareness (TIA) was a mass detection program[ clarification needed ] by the United States Information Awareness Office. It operated under this title from February to May 2003 before being renamed Terrorism Information Awareness. [1] [2]

Contents

Based on the concept of predictive policing, TIA was meant to correlate detailed information about people in order to anticipate and prevent terrorist incidents before execution. [3] The program modeled specific information sets in the hunt for terrorists around the globe. [4] Admiral John Poindexter called it a "Manhattan Project for counter-terrorism". [5] According to Senator Ron Wyden, TIA was the "biggest surveillance program in the history of the United States". [6]

Congress defunded the Information Awareness Office in late 2003 after media reports criticized the government for attempting to establish "Total Information Awareness" over all citizens. [7] [8] [9]

Although the program was formally suspended, other government agencies later adopted some of its software with only superficial changes. TIA's core architecture continued development under the code name "Basketball". According to a 2012 New York Times article, TIA's legacy was "quietly thriving" at the National Security Agency (NSA). [10]

Program synopsis

TIA was intended to be a five-year research project by the Defense Advanced Research Projects Agency (DARPA). The goal was to integrate components from previous and new government intelligence and surveillance programs, including Genoa, Genoa II, Genisys, SSNA, EELD, WAE, TIDES, Communicator, HumanID and Bio-Surveillance, with data mining knowledge gleaned from the private sector to create a resource for the intelligence, counterintelligence, and law enforcement communities. [11] [12] These components consisted of information analysis, collaboration, decision-support tools, language translation, data-searching, pattern recognition, and privacy-protection technologies. [13]

TIA research included or planned to include the participation of nine government entities: INSCOM, NSA, DIA, CIA, CIFA, STRATCOM, SOCOM, JFCOM, and JWAC. [13] They were to be able to access TIA's programs through a series of dedicated nodes. [14] INSCOM was to house TIA's hardware in Fort Belvoir, Virginia. [15]

Companies contracted to work on TIA included the Science Applications International Corporation, [16] Booz Allen Hamilton, Lockheed Martin Corporation, Schafer Corporation, SRS Technologies, Adroit Systems, CACI Dynamic Systems, ASI Systems International, and Syntek Technologies. [17]

Universities enlisted to assist with research and development included Berkeley, Colorado State, Carnegie Mellon, Columbia, Cornell, Dallas, Georgia Tech, Maryland, MIT, and Southampton. [17] [18]

Mission

TIA's goal was to revolutionize the United States' ability to detect, classify and identify foreign terrorists and decipher their plans, thereby enabling the U.S. to take timely action to preempt and disrupt terrorist activity.

To that end, TIA was to create a counter-terrorism information system that: [19]

Components

Genoa

Unlike the other program components, Genoa predated TIA and provided a basis for it. [20] Genoa's primary function was intelligence analysis to assist human analysts. [21] It was designed to support both top-down and bottom-up approaches; a policymaker could hypothesize an attack and use Genoa to look for supporting evidence of it or compile pieces of intelligence into a diagram and suggest possible outcomes. Human analysts could then modify the diagram to test various cases. [22]

Genoa was independently commissioned in 1996 and completed in 2002 as scheduled.

Genoa II

While Genoa primarily focused on intelligence analysis, Genoa II aimed to provide means by which computers, software agents, policymakers, and field operatives could collaborate. [21]

Genisys

Graphic describing the goals of the Genysis project Genysis.gif
Graphic describing the goals of the Genysis project

Genisys aimed to develop technologies that would enable "ultra-large, all-source information repositories". [23] Vast amounts of information were to be collected and analyzed, and the available database technology at the time was insufficient for storing and organizing such enormous quantities of data. So they developed techniques for virtual data aggregation to support effective analysis across heterogeneous databases, as well as unstructured public data sources, such as the World Wide Web. "Effective analysis across heterogenous databases" means the ability to take things from databases which are designed to store different types of data—such as a database containing criminal records, a phone call database and a foreign intelligence database. The Web is considered an "unstructured public data source" because it is publicly accessible and contains many different types of data—blogs, emails, records of visits to websites, etc.—all of which need to be analyzed and stored efficiently. [23]

Another goal was to develop "a large, distributed system architecture for managing the huge volume of raw data input, analysis results, and feedback, that will result in a simpler, more flexible data store that performs well and allows us to retain important data indefinitely". [23]

Scalable social network analysis

Scalable social network analysis (SSNA) aimed to develop techniques based on social network analysis to model the key characteristics of terrorist groups and discriminate them from other societal groups. [24]

Graphic displaying a simulated application of the evidence extraction and link discovery (EELD) project EELD.gif
Graphic displaying a simulated application of the evidence extraction and link discovery (EELD) project

Evidence extraction and link discovery (EELD) developed technologies and tools for automated discovery, extraction and linking of sparse evidence contained in large amounts of classified and unclassified data sources (such as phone call records from the NSA call database, internet histories, or bank records). [25]

EELD was designed to design systems with the ability to extract data from multiple sources (e.g., text messages, social networking sites, financial records, and web pages). It was to develop the ability to detect patterns comprising multiple types of links between data items or communications (e.g., financial transactions, communications, travel, etc.). [25] It is designed to link items relating potential "terrorist" groups and scenarios, and to learn patterns of different groups or scenarios to identify new organizations and emerging threats. [25]

Wargaming the asymmetric environment

Wargaming the asymmetric environment (WAE) focused on developing automated technology that could identify predictive indicators of terrorist activity or impending attacks by examining individual and group behavior in broad environmental context and the motivation of specific terrorists. [26]

Translingual information detection, extraction and summarization

Translingual information detection, extraction and summarization (TIDES) developed advanced language processing technology to enable English speakers to find and interpret critical information in multiple languages without requiring knowledge of those languages. [27]

Outside groups (such as universities, corporations, etc.) were invited to participate in the annual information retrieval, topic detection and tracking, automatic content extraction, and machine translation evaluations run by NIST. [27] Cornell University, Columbia University, and the University of California, Berkeley were given grants to work on TIDES. [17]

Communicator

Diagram describing capabilities of the "communicator" project Total Information Awareness -- Communicator diagram.gif
Diagram describing capabilities of the "communicator" project

Communicator was to develop "dialogue interaction" technology to enable warfighters to talk to computers, such that information would be accessible on the battlefield or in command centers without a keyboard-based interface. Communicator was to be wireless, mobile, and to function in a networked environment. [28]

The dialogue interaction software was to interpret dialogue's context to improve performance, and to automatically adapt to new topics so conversation could be natural and efficient. Communicator emphasized task knowledge to compensate for natural language effects and noisy environments. Unlike automated translation of natural language speech, which is much more complex due to an essentially unlimited vocabulary and grammar, Communicator takes on task-specific issues so that there are constrained vocabularies (the system only needs to be able to understand language related to war). Research was also started on foreign-language computer interaction for use in coalition operations. [28]

Live exercises were conducted involving small unit logistics operations with the United States Marines to test the technology in extreme environments. [28]

Human identification at a distance

Diagram describing capabilities of the "human identification at a distance" project Human-id-at-a-distance.gif
Diagram describing capabilities of the "human identification at a distance" project

The human identification at a distance (HumanID) project developed automated biometric identification technologies to detect, recognize and identify humans at great distances for "force protection", crime prevention, and "homeland security/defense" purposes. [29]

The goals of HumanID were to: [29]

  • Develop algorithms to find and acquire subjects out to 150 meters (500 ft) in range.
  • Fuse face and gait recognition into a 24/7 human identification system.
  • Develop and demonstrate a human identification system that operates out to 150 meters (500 ft) using visible imagery.
  • Develop a low-power millimeter wave radar system for wide field of view detection and narrow field of view gait classification.
  • Characterize gait performance from video for human identification at a distance.
  • Develop a multi-spectral infrared and visible face recognition system.

A number of universities assisted in designing HumanID. The Georgia Institute of Technology's College of Computing focused on gait recognition. Gait recognition was a key component of HumanID, because it could be employed on low-resolution video feeds and therefore help identify subjects at a distance. [30] They planned to develop a system that recovered static body and stride parameters of subjects as they walked, while also looking into the ability of time-normalized joint angle trajectories in the walking plane as a way of recognizing gait. The university also worked on finding and tracking faces by expressions and speech. [18]

Carnegie Mellon University's Robotics Institute (part of the School of Computer Science) worked on dynamic face recognition. The research focused primarily on the extraction of body biometric features from video and identifying subjects from those features. To conduct its studies, the university created databases of synchronized multi-camera video sequences of body motion, human faces under a wide range of imaging conditions, AU coded expression videos, and hyperspectal and polarimetric images of faces. [31] The video sequences of body motion data consisted of six separate viewpoints of 25 subjects walking on a treadmill. Four separate 11-second gaits were tested for each: slow walk, fast walk, inclined, and carrying a ball. [30]

The University of Maryland's Institute for Advanced Computer Studies' research focused on recognizing people at a distance by gait and face. Also to be used were infrared and five-degree-of-freedom cameras. [32] Tests included filming 38 male and 6 female subjects of different ethnicities and physical features walking along a T-shaped path from various angles. [33]

The University of Southampton's Department of Electronics and Computer Science was developing an "automatic gait recognition" system and was in charge of compiling a database to test it. [34] The University of Texas at Dallas was compiling a database to test facial systems. The data included a set of nine static pictures taken from different viewpoints, a video of each subject looking around a room, a video of the subject speaking, and one or more videos of the subject showing facial expressions. [35] Colorado State University developed multiple systems for identification via facial recognition. [36] Columbia University participated in implementing HumanID in poor weather. [31]

Bio-surveillance

Graphic describing the goals of the bio-surveillance project Bio-Surveillance.gif
Graphic describing the goals of the bio-surveillance project

The bio-surveillance project was designed to predict and respond to bioterrorism by monitoring non-traditional data sources such as animal sentinels, behavioral indicators, and pre-diagnostic medical data. It would leverage existing disease models, identify abnormal health early indicators, and mine existing databases to determine the most valuable early indicators for abnormal health conditions. [37]

Scope of surveillance

As a "virtual, centralized, grand database", [38] the scope of surveillance included credit card purchases, magazine subscriptions, web browsing histories, phone records, academic grades, bank deposits, gambling histories, passport applications, airline and railway tickets, driver's licenses, gun licenses, toll records, judicial records, and divorce records. [8] [12]

Health and biological information TIA collected included drug prescriptions, [8] medical records, [39] fingerprints, gait, face and iris data, [12] and DNA. [40]

Privacy

TIA's Genisys component, in addition to integrating and organizing separate databases, was to run an internal "privacy protection program". This was intended to restrict analysts' access to irrelevant information on private U.S. citizens, enforce privacy laws and policies, and report misuses of data. [41] There were also plans for TIA to have an application that could "anonymize" data, so that information could be linked to an individual only by court order (especially for medical records gathered by the bio-surveillance project). [37] A set of audit logs were to be kept, which would track whether innocent Americans' communications were getting caught up in relevant data. [10]

History

Adm. John Poindexter, the director of the Information Awareness Office and chief supporter of TIA Admiral John Poindexter, official Navy photo, 1985.JPEG
Adm. John Poindexter, the director of the Information Awareness Office and chief supporter of TIA

The term total information awareness was first coined at the 1999 annual DARPAtech conference in a presentation by the deputy director of the Office of Information Systems Management, Brian Sharkey. Sharkey applied the phrase to a conceptual method by which the government could sift through massive amounts of data becoming available via digitization and draw important conclusions. [22]

Early developments

TIA was proposed as a program shortly after the September 11 attacks in 2001, by Rear Admiral John Poindexter. [42] A former national security adviser to President Ronald Reagan and a key player in the Iran–Contra affair, he was working with Syntek Technologies, a company often contracted out by the government for work on defense projects. TIA was officially commissioned during the 2002 fiscal year. [17] In January 2002 Poindexter was appointed Director of the newly created Information Awareness Office division of DARPA, which managed TIA's development. [43] The office temporarily operated out of the fourth floor of DARPA's headquarters, while Poindexter looked for a place to permanently house TIA's researchers. [15] Soon Project Genoa was completed and its research moved on to Genoa II. [44] [45]

Late that year, the Information Awareness Office awarded the Science Applications International Corporation (SAIC) a $19 million contract to develop the "Information Awareness Prototype System", the core architecture to integrate all of TIA's information extraction, analysis, and dissemination tools. This was done through its consulting arm, Hicks & Associates, which employed many former Defense Department and military officials. [16]

TIA's earliest version employed software called "Groove", which had been developed in 2000 by Ray Ozzie. Groove made it possible for analysts from many different agencies to share intelligence data instantly, and linked specialized programs that were designed to look for patterns of suspicious behavior. [46]

Congressional restrictions and termination

On 24 January 2003, the United States Senate voted to limit TIA by restricting its ability to gather information from emails and the commercial databases of health, financial and travel companies. [47] According to the Consolidated Appropriations Resolution, 2003, Pub. L. No. 108-7, Division M, § 111(b) passed in February, the Defense Department was given 90 days to compile a report laying out a schedule of TIA's development and the intended use of allotted funds or face a cutoff of support. [48]

The report arrived on May 20. It disclosed that the program's computer tools were still in their preliminary testing phase. Concerning the pattern recognition of transaction information, only synthetic data created by researchers was being processed. The report also conceded that a full prototype of TIA would not be ready until the 2007 fiscal year. [13] Also in May, Total Information Awareness was renamed Terrorism Information Awareness in an attempt to stem the flow of criticism on its information-gathering practices on average citizens. [49]

At some point in early 2003, the National Security Agency began installing access nodes on TIA's classified network. [5] The NSA then started running stacks of emails and intercepted communications through TIA's various programs. [14]

Following a scandal in the Department of Defense involving a proposal to reward investors who predicted terrorist attacks, Poindexter resigned from office on 29 August. [14]

On September 30, 2003, Congress officially cut off TIA's funding and the Information Awareness Office (with the Senate voting unanimously against it) [50] because of its unpopular perception by the general public and the media. [9] [51] Senators Ron Wyden and Byron Dorgan led the effort. [52]

After 2003

Reports began to emerge in February 2006 that TIA's components had been transferred to the authority of the NSA. In the Department of Defense appropriations bill for the 2004 fiscal year, a classified annex provided the funding. It was stipulated that the technologies were limited for military or foreign intelligence purposes against non-U.S. citizens. [53] Most of the original project goals and research findings were preserved, but the privacy protection mechanics were abandoned. [5] [10]

Topsail

Genoa II, which focused on collaboration between machines and humans, was renamed "Topsail" and handed over to the NSA's Advanced Research and Development Activity, or ARDA (ARDA was later moved to the Director of National Intelligence's control as the Disruptive Technologies Office). Tools from the program were used in the war in Afghanistan and other parts of the War on Terror. [16] In October 2005, the SAIC signed a $3.7 million contract for work on Topsail. [22] In early 2006 a spokesman for the Air Force Research Laboratory said that Topsail was "in the process of being canceled due to lack of funds". When asked about Topsail in a Senate Intelligence Committee hearing that February, both National Intelligence Director John Negroponte and FBI Director Robert Mueller said they did not know the program's status. Negroponte's deputy, former NSA director, Michael V. Hayden, said, "I'd like to answer in closed session." [16]

Basketball

The Information Awareness Prototype System was reclassified as "Basketball" and work on it continued by SAIC, supervised by ARDA. As late as September 2004, Basketball was fully funded by the government and being tested in a research center jointly run by ARDA and SAIC. [16]

Criticism

Critics allege that the program could be abused by government authorities as part of their practice of mass surveillance in the United States. In an op-ed for The New York Times , William Safire called it "the supersnoop's dream: a Total Information Awareness about every U.S. citizen". [8]

Hans Mark, a former director of defense research and engineering at the University of Texas, called it a "dishonest misuse of DARPA". [1]

The American Civil Liberties Union launched a campaign to terminate TIA's implementation, claiming that it would "kill privacy in America" because "every aspect of our lives would be catalogued". [54] The San Francisco Chronicle criticized the program for "Fighting terror by terrifying U.S. citizens". [55]

Still, in 2013 former Director of National Intelligence James Clapper lied about a massive data collection on US citizens and others. [56] Edward Snowden said that because of Clapper's lie he lost hope to change things formally. [56]

In the 2008 British television series The Last Enemy, TIA is portrayed as a UK-based surveillance database that can be used to track and monitor anybody by putting all available government information in one place.

See also

Related Research Articles

<span class="mw-page-title-main">John Poindexter</span> Retired American naval officer and Department of Defense official

John Marlan Poindexter is a retired United States naval officer and Department of Defense official. He was Deputy National Security Advisor and National Security Advisor during the Reagan administration. He was convicted in April 1990 of multiple felonies as a result of his actions in the Iran–Contra affair, but his convictions were reversed on appeal in 1991. During the George W. Bush administration, he served a brief stint as the director of the DARPA Information Awareness Office. He is the father of NASA astronaut and U.S. Navy Captain Alan G. Poindexter.

<span class="mw-page-title-main">Surveillance</span> Monitoring something for the purposes of influencing, protecting, or suppressing it

Surveillance is the monitoring of behavior, many activities, or information for the purpose of information gathering, influencing, managing, or directing. This can include observation from a distance by means of electronic equipment, such as closed-circuit television (CCTV), or interception of electronically transmitted information like Internet traffic. It can also include simple technical methods, such as human intelligence gathering and postal interception.

Computer and network surveillance is the monitoring of computer activity and data stored locally on a computer or data being transferred over computer networks such as the Internet. This monitoring is often carried out covertly and may be completed by governments, corporations, criminal organizations, or individuals. It may or may not be legal and may or may not require authorization from a court or other independent government agencies. Computer and network surveillance programs are widespread today and almost all Internet traffic can be monitored.

<span class="mw-page-title-main">Information Awareness Office</span> DARPA division overseeing the "Total Information Awareness" program

The Information Awareness Office (IAO) was established by the United States Defense Advanced Research Projects Agency (DARPA) in January 2002 to bring together several DARPA projects focused on applying surveillance and information technology to track and monitor terrorists and other asymmetric threats to U.S. national security by achieving "Total Information Awareness" (TIA).

<span class="mw-page-title-main">Mass surveillance</span> Intricate surveillance of an entire or a substantial fraction of a population

Mass surveillance is the intricate surveillance of an entire or a substantial fraction of a population in order to monitor that group of citizens. The surveillance is often carried out by local and federal governments or governmental organizations, but it may also be carried out by corporations. Depending on each nation's laws and judicial systems, the legality of and the permission required to engage in mass surveillance varies. It is the single most indicative distinguishing trait of totalitarian regimes. It is often distinguished from targeted surveillance.

The Multistate Anti-Terrorism Information Exchange Program, also known by the acronym MATRIX, was a U.S. federally funded data mining system originally developed for the Florida Department of Law Enforcement described as a tool to identify terrorist subjects.

<span class="mw-page-title-main">Facial recognition system</span> Technology capable of matching a face from an image against a database of faces

A facial recognition system is a technology potentially capable of matching a human face from a digital image or a video frame against a database of faces. Such a system is typically employed to authenticate users through ID verification services, and works by pinpointing and measuring facial features from a given image.

Policy appliances are technical control and logging mechanisms to enforce or reconcile policy rules and to ensure accountability in information systems. Policy appliances can be used to enforce policy or other systems constraints within and among trusted systems.

<span class="mw-page-title-main">Project Genoa</span>

Project Genoa was a software project commissioned by the United States' DARPA which was designed to analyze large amounts of data and metadata to help human analysts counter terrorism.

ADVISE is a research and development program within the United States Department of Homeland Security (DHS) Threat and Vulnerability Testing and Assessment (TVTA) portfolio. It is reportedly developing a massive data mining system, which would collect and analyze data on everyone in the United States and perform a "threat analysis" on them. The data can be anything from financial records, phone records, emails, blog entries, website searches, to any other electronic information that can be put into a computer system. This information is then analyzed, and used to monitor social threats such as community-forming, terrorism, political organizing, or crime.

<span class="mw-page-title-main">Disruptive Technology Office</span>

The Disruptive Technology Office (DTO) was a funding agency within the United States Intelligence Community. It was previously known as the Advanced Research and Development Activity (ARDA). In December 2007, DTO was folded into the newly created IARPA.

<span class="mw-page-title-main">MAINWAY</span> NSA database of US telephone calls

MAINWAY is a database maintained by the United States' National Security Agency (NSA) containing metadata for hundreds of billions of telephone calls made through the largest telephone carriers in the United States, including AT&T, Verizon, and T-Mobile.

Saffron Technology, Inc., was a technology company headquartered in Cary, North Carolina, that developed cognitive computing systems. Their systems use incremental learning to understand and unify by entity the connections between an entity and other “things” in data, along with the context of their connections and their raw frequency counts. Saffron learns from all sources of data including structured and unstructured data to support knowledge-based decision making. Its patented technology captures the connections between data points at the entity level and stores these connections in an associative memory. Similarity algorithms and predictive analytics are then combined with the associative index to identify patterns in the data. Saffron’s Natural Intelligence platform was utilized across industries including manufacturing, energy, defense and healthcare, to help decision-makers manage risks, identify opportunities and anticipate future outcomes, thus reducing cost and increasing productivity. Its competitors include IBM Watson and Grok. Intel purchased the company in 2015, then shuttered it less than 3 years later.

<span class="mw-page-title-main">PRISM</span> Mass surveillance program run by the NSA

PRISM is a code name for a program under which the United States National Security Agency (NSA) collects internet communications from various U.S. internet companies. The program is also known by the SIGAD US-984XN. PRISM collects stored internet communications based on demands made to internet companies such as Google LLC and Apple under Section 702 of the FISA Amendments Act of 2008 to turn over any data that match court-approved search terms. Among other things, the NSA can use these PRISM requests to target communications that were encrypted when they traveled across the internet backbone, to focus on stored data that telecommunication filtering systems discarded earlier, and to get data that is easier to handle.

<span class="mw-page-title-main">Mass surveillance in the United States</span>

The practice of mass surveillance in the United States dates back to wartime monitoring and censorship of international communications from, to, or which passed through the United States. After the First and Second World Wars, mass surveillance continued throughout the Cold War period, via programs such as the Black Chamber and Project SHAMROCK. The formation and growth of federal law-enforcement and intelligence agencies such as the FBI, CIA, and NSA institutionalized surveillance used to also silence political dissent, as evidenced by COINTELPRO projects which targeted various organizations and individuals. During the Civil Rights Movement era, many individuals put under surveillance orders were first labelled as integrationists, then deemed subversive, and sometimes suspected to be supportive of the communist model of the United States' rival at the time, the Soviet Union. Other targeted individuals and groups included Native American activists, African American and Chicano liberation movement activists, and anti-war protesters.

<i>American Civil Liberties Union v. Clapper</i> American federal court case

American Civil Liberties Union v. Clapper, 785 F.3d 787, was a lawsuit by the American Civil Liberties Union (ACLU) and its affiliate, the New York Civil Liberties Union, against the United States federal government as represented by then-Director of National Intelligence James Clapper. The ACLU challenged the legality and constitutionality of the National Security Agency's (NSA) bulk phone metadata collection program.

<i>The Watchers: The Rise of Americas Surveillance State</i> 2010 book by Shane Harris

The Watchers: The Rise of America's Surveillance State is a non-fiction book by American journalist Shane Harris, published in 2010. It details the rise of surveillance programs in the U.S. Author Harris had previously served as a writer for outfits such as Foreign Policy, National Journal, and The Washingtonian.

The Real Time Regional Gateway (RT-RG) is a data processing and data mining system introduced in 2007 by the US National Security Agency (NSA) and deployed during the American military operations in Iraq and Afghanistan. It is able to store, fuse, search and analyze data from numerous sources, from intercepted communications to open source information. It was effective in providing information about Iraqi insurgents who had eluded less comprehensive techniques.

<span class="mw-page-title-main">Project Genoa II</span>

Project Genoa II was a software project that originated with the United States Defense Advanced Research Projects Agency's Information Awareness Office and the successor to the Genoa program. Originally part of DARPA's wider Total Information Awareness project, it was later renamed Topsail and handed over to the Advanced Research and Development Activity for further development.

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  31. 1 2 "Human Identification at a Distance (HumanID)". Carnegie Mellon University: The Robotics Institute. Carnegie Mellon University. Archived from the original on 9 August 2016. Retrieved 16 June 2016.
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  35. ↑ O'Toole, Alice. "Human Identification Project". www.utdallas.edu. University of Texas at Dallas . Retrieved 16 June 2016.
  36. ↑ "Evaluation of Face Recognition Algorithms". www.cs.colostate.edu. Colorado State University . Retrieved 16 June 2016.
  37. 1 2 "Bio- Surveillance". www.darpa.mil/iao. Information Awareness Office. Archived from the original on 2006-09-19.
  38. ↑ Anthony M. Townsend. "Your city is spying on you: From iPhones to cameras, you are being watched right now". Salon . Retrieved 19 December 2013.
  39. ↑ Ron Wyden (January 15, 2003). "Wyden Calls For Congressional Oversight, Accountability of Total Information Awareness Office". United States Senate . Retrieved 19 December 2013. On the Web site of this particular program, the Total Information Awareness Program, they cite a Latin slogan—"Knowledge is power"—something we would all agree with, and state: The total information awareness of transnational threats requires keeping track of individuals and understanding how they fit into models. To this end, this office would seek to develop a way to integrate databases into a "virtual centralized grand database". They would be in a position to look at education, travel, and medical records, and develop risk profiles for millions of Americans
  40. ↑ Pat M. Holt (October 2, 2003). "Driving dangerously with the Patriot Act". Christian Science Monitor. Retrieved 19 December 2013. The Defense Department is leading the charge for what it calls Total Information Awareness, a massive database including DNA.
  41. ↑ Lee, Newton (7 April 2015). Counterterrorism and Cybersecurity: Total Information Awareness (2, illustrated, revised ed.). Springer. p. 141. ISBN   9783319172446.
  42. ↑ Rosen, Jeffrey (2002-12-15). "The Year in Ideas; Total Information Awareness". The New York Times. ISSN   0362-4331 . Retrieved 2021-04-03.
  43. ↑ Belasco, Amy (21 March 2003). "Total Information Awareness Programs: Funding, Composition, and Oversight Issues" (PDF). www.au.af.mil/au. Congressional Research Service. Archived from the original (PDF) on June 27, 2004. Retrieved 7 June 2016.
  44. ↑ Armour, Tom (2002). "Genoa II DARPAtech 2002 Presentation Script" (PDF). w2.eff.org. Electronic Frontier Foundation. Archived from the original (PDF) on 2016-10-08. Retrieved 20 June 2016.
  45. ↑ "Genoa". www.darpa.mil/iao. Information Awareness Office. Archived from the original on 2009-02-16.
  46. ↑ "TECHNOLOGY; Many Tools Of Big Brother Are Now Up And Running". The New York Times . December 23, 2002. Retrieved 7 December 2013.
  47. ↑ ADAM CLYMER (January 24, 2003). "Senate Rejects Privacy Project". The New York Times . Retrieved 7 December 2013.
  48. ↑ "Joint Resolution". www.gpo.gov. United States Government Publishing Office. February 2003. Retrieved 7 June 2016.
  49. ↑ Richelson, Jeffrey T. (4 September 2013). "The Snowden Affair". nsarchive.gwu.edu. National Security Archive . Retrieved 9 June 2016.
  50. ↑ Solove, Daniel J. (2011). Nothing to Hide: The False Tradeoff Between Privacy and Security . Yale University Press. ISBN   9780300177251.
  51. ↑ Donohue, Laura K. (14 April 2008). The Cost of Counterterrorism: Power, Politics, and Liberty. Cambridge University Press. p. 258. ISBN   9781139469579.
  52. ↑ Eric, Schmitt (1 August 2003). "Poindexter Will Be Quitting Over Terrorism Betting Plan". New York Times . Washington D.C. Retrieved 10 June 2016.
  53. ↑ Mark Williams Pontin. The Total Information Awareness Project Lives On, MIT Technology Review, 26 April 2006, retrieved 16 June 2016
  54. ↑ "Q&A on the Pentagon's "Total Information Awareness" Program". American Civil Liberties Union. April 20, 2003. Retrieved 19 December 2013.
  55. ↑ ROB MORSE (November 20, 2002). "Fighting terror by terrifying U.S. citizens". San Francisco Chronicle . Retrieved 21 December 2013.
  56. 1 2 Clapper, James R,. (2018). Facts and Fears: Hard Truths From A Life In Intelligence (ebook ed.). New York: Viking. p. 226. ISBN   9780525558651.{{cite book}}: CS1 maint: multiple names: authors list (link)
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