Big Data. Big Decisions
InformationWeek
Special Coverage Series

Commentary

Mathew J. Schwartz

Mathew J. Schwartz



Cyber Strategies: National Security Versus Child Pornography

Among the interesting findings of an audit of the FBI's cyber crime capabilities: how Congress budgets the bureau, as well as the extent to which all cyber crime is local.

Does the FBI have its cyber priorities and investigative strategies straight?

That's one of the questions raised by an audit of the FBI's computer intrusion investigation capabilities, released earlier this year, which painted an unflattering picture of the bureau's ability to investigate cyber crime, especially cases involving national security. Notably, the audit, conducted by the Department of Justice's Office of the Inspector General (OIG), suggested that the FBI was failing to properly train and support its cyber investigators.

More Insights

Webcasts

More >>

White Papers

More >>

Reports

More >>

After the audit was released, the FBI fired back, alleging that the OIG's report was outdated and skewed by the opinions of a handful of agents who were training in a program that has changed numerous times over the past few years in response to the rapidly evolving nature of attacks and crimes perpetrated online.

"The FBI capacity that exists today is much greater than the capacity that existed two years ago, because we created a cyber career path specifically because we realized that all of the agents would not be at the [required] level," Steven Chabinsky, deputy assistant director of the FBI's cyber division, told me in a telephone interview earlier this year. "This is not something where we're coming to the table, seeing the OIG's report, and saying, we should have thought of this. Just the opposite."

In fact, the OIG's audit presented 10 actions that were necessary to resolve or close out the audit. By April 2011, the bureau had met all of those requirements. In addition, the bureau has been earning accolades from security experts for its cyber investigation capabilities, and it has chalked up some notable successes in recent months, including shutting down the Coreflood botnet and coordinating the international bust of two scareware rings.

But the audit raises at least one question that still needs answering. The auditors found that the bureau spends almost as many man-hours investigating child pornography as cyber crime. According to the report, in 2009 the FBI "used 19% of its cyber agents on national security intrusion investigations, 31% to address criminal-based intrusions, and 41% to investigate online child pornography matters."

In this era of targeted attacks--exploits involving everyone from RSA and Lockheed Martin to Sony and the U.S. Senate--is the FBI focusing on the right areas? To some extent, the bureau's hands are tied by funding, which is determined by Congress, "in different allocations," said Chabinsky. Notably, national security investigations are funded from different sources than child protection or investigating intellectual property crimes.

Furthermore, according to a different report from the OIG, "FBI Personnel Resource Management and Casework," released in 2010, the resources used by the bureau appear to be in line with what it has been told to pursue.

Another interesting question raised by the OIG's audit is whether the FBI should centralize more of its cybercrime operations. The FBI does have some regional hubs, for example, for digital forensic investigations. But in an age of distributed managed services, cloud computing, and virtual infrastructure, might it make more sense to further centralize the bureau's overstretched cyber resources?

While the FBI is exploring the creation of some additional regional hubs, Chabinsky ruled out any large-scale centralization of its cyber activities. "At the end of the day, we still have real victims who have real locations, and if you were to centralize, it would be difficult to have a private relationship with the owners and operators who are responsible for the networks," he said. That's why the FBI has cyber specialists in every field office.

Interestingly, the FBI also liaises with the country's top cyber targets based on the bureau's own field office locations. This structure gives FBI personnel direct responsibility for understanding which critical infrastructure exists in their territory, and for fostering relationships with the organizations that own that infrastructure. The FBI also uses its public-private partnership program, InfraGard, to reinforce these local relationships.

"There is a very local component to national security and law enforcement," even when it involves computer-related crime, Chabinsky said. In fact, information frequently flows in both directions. "It's often the case now that the FBI is informing people that they've been victimized, rather than victims coming to the FBI," he said.

Finally, keeping agents local means they don't have to hop on a plane to follow every lead or launch an investigation. In fact, "remote investigating" is often not an option, he said, as "some of our cases have information that you couldn't even approach on a telephone."

Security concerns give many companies pause as they consider migrating portions of their IT operations to cloud-based services. But you can stay safe in the cloud. In this Dark Reading Tech Center report, we explain the risks and guide you in setting appropriate cloud security policies, processes and controls. Read our report now. (Free registration required.)



Related Reading




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.