Big Data. Big Decisions
InformationWeek
Special Coverage Series


Counterterrorist Data Mining Needs Privacy Protection

A National Research Council report represents an attempt to address privacy concerns that have dogged past counterterrorist data mining programs like Total Information Awareness.

In a sweeping new report that examines the balance between security and privacy, The National Research Council (NRC) recommends that the U.S. government rethink its approach to counterterrorism in light of the privacy risks posed by unchecked data mining and behavioral surveillance.

The NRC report, "Protecting Individual Privacy In The Struggle Against Terrorists," is the culmination of three years of discussions and research aimed at providing the government with a framework for thinking about existing and future information-based counterterrorism programs. Former U.S. Secretary of Defense William Perry co-chaired the study committee.

The proposed framework represents an attempt to address privacy concerns that have dogged past counterterrorist data mining programs like Total Information Awareness.

The report acknowledges the utility of a variety of technologies in the context of security, but cautions that counterterrorism programs need to be operated lawfully, with oversight, and with some recognition of the limits of technology.

Automated terrorist identification, the report says, "is neither feasible as an objective nor desirable as a goal of technology development efforts."

"To address [the threat of terrorism], new technologies have been created and are creating dramatic new ways to observe and identify people, keep track of their location, and perhaps even deduce things about their thoughts and behaviors," the report says. "The task for policy makers now is to determine who should have access to these new data and capabilities and for what purposes they should be used. These new technologies, coupled with the unprecedented nature of the threat, are likely to bring great pressure to apply these technologies and measures, some of which might intrude on the fundamental rights of U.S. citizens."

Privacy is one such fundamental right, and the report finds that current government policy doesn’t respect that right sufficiently.

"The current policy regime does not adequately address violations of privacy that arise from information-based programs using advanced analytical techniques, such as state-of-the-art data mining and record linkage," the report states.

Data mining techniques may have proven value in a commercial context, but the report warns that identifying terrorists this way is less reliable and prone to error.

"One might argue that the consequences of a false negative (a terrorist plan is not detected and many people die) are in some sense much larger than the consequences of a false positive (an innocent person loses privacy or is detained)," the report says. "For this reason, many decision makers assert that it is better to be safe than sorry. But this argument is fallacious. There is no reason to expect that false negatives and false positives trade off against one another in a one-for-one manner."

The report recommends that the government be particularly careful when using behavioral surveillance to predict dangerous intent. There's no scientific consensus about whether such technology -- brain scanning, for example -- actually works, says the report.

"[P]lacing people under suspicion because of their associations and intellectual explorations is a step toward abhorrent government behavior, such as guilt by association and thought crime," the report says. "This does not mean that government authorities should be categorically proscribed from examining indicators of intent under all circumstances -- only that special precautions should be taken when such examination is deemed necessary."

The report presents two major recommendations. It argues that the U.S. government should follow a framework, such as the one proposed in the report, to evaluate the effectiveness, lawfulness, and consistency with U.S. values of every information-based program for counterterrorism. And it calls for a periodic review of laws and policies related to privacy in light of changing technologies and circumstances.

The NRC plans to discuss its findings in a one-hour public briefing at 12:30 p.m. EDT today at the National Academy of Sciences in Washington, D.C. A live audio Webcast should be available at the National Academies site.

InformationWeek has produced an independent security analysis that relates to this topic. Download the report here (registration required).



Related Links

Related Reading


More Insights




Currently we allow the following HTML tags in comments:

Single tags

These tags can be used alone and don't need an ending tag.

<br> Defines a single line break

<hr> Defines a horizontal line

Matching tags

These require an ending tag - e.g. <i>italic text</i>

<a> Defines an anchor

<b> Defines bold text

<big> Defines big text

<blockquote> Defines a long quotation

<caption> Defines a table caption

<cite> Defines a citation

<code> Defines computer code text

<em> Defines emphasized text

<fieldset> Defines a border around elements in a form

<h1> This is heading 1

<h2> This is heading 2

<h3> This is heading 3

<h4> This is heading 4

<h5> This is heading 5

<h6> This is heading 6

<i> Defines italic text

<p> Defines a paragraph

<pre> Defines preformatted text

<q> Defines a short quotation

<samp> Defines sample computer code text

<small> Defines small text

<span> Defines a section in a document

<s> Defines strikethrough text

<strike> Defines strikethrough text

<strong> Defines strong text

<sub> Defines subscripted text

<sup> Defines superscripted text

<u> Defines underlined text

BYTE encourages readers to engage in spirited, healthy debate, including taking us to task. However, BYTE moderates all comments posted to our site, and reserves the right to modify or remove any content that it determines to be derogatory, offensive, inflammatory, vulgar, irrelevant/off-topic, racist or obvious marketing/SPAM. BYTE further reserves the right to disable the profile of any commenter participating in said activities.

Disqus Tips To upload an avatar photo, first complete your Disqus profile. | View the list of supported HTML tags you can use to style comments. | Please read our commenting policy.

Follow InformationWeek

By The Numbers

What Are Your Primary Concerns About Using Big Data Software?

Base: 417 respondents at organizations using or planning to deploy data analytics, BI or statistical analysis software
Data: InformationWeek 2013 Analytics, Business Intelligence and Information Management Survey of 541 business technology professionals, October 2012

What Do You Think?

What's your attitude about SQL analysis on top of Hadoop?
We want fast, standard SQL analysis capabilities on Hadoop ASAP
Hadoop is for unstructured data; SQL is for relational databases
We'll give SQL on Hadoop a try, but relational DBs will remain the mainstay
Given strong SQL support on Hadoop, we'd nix the data warehouse
We're not interested in Hadoop
No opinion



Related Content

From Our Sponsor

Five Big Data Challenges and How to Overcome Them with Visual Analytics

Five Big Data Challenges and How to Overcome Them with Visual Analytics

Business leaders often need a visual snapshot of data to quickly grasp and use it. This paper identifies five challenges in presenting data and how visual analytics can resolve them. Solutions are suggested to overcome the challenges of: speed, data clarity, data quality, displaying meaningful results, and dealing with outliers.

Game-Changing Analytics: How IT Executives Can Use Analytics to Create Innovation and Business Success

Game-Changing Analytics: How IT Executives Can Use Analytics to Create Innovation and Business Success

Today's competitive advantage requires a deeper understanding of your business, your market and your customers. As an IT executive, you can drive that knowledge transformation. In this white paper, learn how to make decisions as a strategic business leader and three steps to begin an analytics initiative within your enterprise.

Data Visualization Techniques: From Basics to Big Data with SAS Visual Analytics

Data Visualization Techniques: From Basics to Big Data with SAS Visual Analytics

High-performance data visualization turns sophisticated analyses into meaningful graphics, leading to faster and smarter decision making. In this white paper, learn how visual analytics can transform big data, with additional features such as real-time functionality, mobile compatibility, robust applications for technical groups and accessibility for nontechnical users.

Big Data: Lessons from the Leaders

Big Data: Lessons from the Leaders

Financial performance, competitive advantage, operational efficiency, strategic decision making - every business goal can extract value from big data, and the time for doubt or inaction has long passed. In this Economist Intelligence Unit report, in-depth interviews with data pioneers reveal the link between the effective use of big data and the bottom line among other results.

Decision-Driven Data Management: A Strategy for Better Decisions with Better Data

Decision-Driven Data Management: A Strategy for Better Decisions with Better Data

Which came first, the data or the decision? This white paper makes the case for having a decision in mind, then tailoring big data's volume, variety and velocity to achieve business results such as overcoming customer dissatisfaction or creating well-informed strategies in real time.

Informationweek Reports

Research: The Big Data Management Challenge

Research: The Big Data Management Challenge

The challenge of big data is real, but most organizations don't differentiate 'big data' from traditional data, and nearly 90% of respondents to our survey use conventional databases as the primary means of handling data. We'll help you understand what constitutes big data (it's not just size) and the numerous management challenges it poses.