Big Data. Big Decisions
InformationWeek
Special Coverage Series


Hack Attacks Now Leading Cause Of Data Breaches

Exclusive: Identity Theft Resource Center identifies hacking, followed by data lost in transit and insider attacks, as the leading data breach culprits in 2011.

10 Companies Driving Mobile Security
10 Companies Driving Mobile Security
(click image for larger view and for slideshow)
The majority of data breaches stem from hack attacks, followed by data that's lost while physically in transit. That's according to a forthcoming study from the Identity Theft Resource Center (ITRC), which assessed all known information relating to the 419 breaches that were publicly disclosed in the United States in 2011. A copy of the report was provided to InformationWeek in advance of its release.

Last year, data breaches triggered by hacking--defined by the ITRC as "a targeted intrusion into a data network," including card-skimming attacks--were at an all-time high, and responsible for 26% of all known data breach incidents. The next leading cause of breaches was data on the move (18%)--meaning electronic storage devices, laptops, or paper reports that were lost in transit--followed by insider theft (13%).

More Insights

Webcasts

More >>

White Papers

More >>

Reports

More >>

Overall, malicious attacks--counting not just hack attacks but also insider attacks--accounted for 40% of publicly disclosed breaches, while 20% of breaches were the result of accidental data exposure.

All told, the ITRC counted 22.9 million records as being exposed in 2011, of which 81% included social security numbers. Of all known breaches, 62% involved the exposure of social security numbers and 27% involved credit or debit card data.

[ Want to know more about hack attacks? Read 6 Worst Data Breaches Of 2011. ]

Online attacks aren't the only data breach threat vector. Notably, 16% of known breaches in 2011 involved paper-based breaches, although only 1.4% of the total quantity of breached records were paper-based. Paper-based breach refers to paper reports or printouts that get lost or stolen. But the ITRC said that one challenge with counting such breaches is that they typically don't get noticed until they're spotted by outsiders and reported to local media. Furthermore, many states' data breach notification laws don't require companies to report paper-based breaches.

Data breach incidence varies sharply by industry, which may be a sign of each one's overall information security program effectiveness. In 2011, the government and armed services saw the greatest volume of records exposed (comprising 44% of all exposed records), followed by non-financial businesses (33%), medical and healthcare groups (16%), educational institutions (4%), and banking, credit and financial firms (3%).

Meanwhile, non-financial businesses, as well as medical and healthcare groups, saw the largest incidence of insider theft, while non-financial businesses were hacked far more often than other industries. Notably, 17% of all breaches involved hack attacks against businesses, compared with hack attacks against banking, credit and finance (3%), education (2%), medical and healthcare (2%), and government and military (1%).

In the wake of ITRC's study of 2011 data breaches, however, a large question remains: How accurate is the underlying data? "Breaches have long been unreported, or underreported," Karen Barney, ITRC's program director, said in an email interview. "Any efforts to accurately quantify the actual number of breaches, and resulting number of compromised records, are stymied in the absence of mandatory reporting on a national level."

Indeed, in 2011, only 52% of publicly disclosed breaches actually detailed the number of sensitive records that had been exposed. Furthermore, what counts as sensitive?

"Another challenge is to clearly define how to identify the threat to consumers when the compromised information is not 'sensitive' personal information but 'non-personal' in nature," said Barney. "It is well-known that this type of information still poses a threat to consumers through spear-phishing and social engineering."

For its 2011 data breach report, the ITRC counted as sensitive only credit card or financial account numbers, as well as social security numbers, medical insurance numbers or driver's license numbers. It didn't count email addresses, passwords, or other supposedly less-sensitive pieces of data. In other words, the nearly 23 million records known to have been exposed last year doesn't count many more millions of records that were exposed, and which criminals could employ to scam people via spear-phishing and other types of social engineering attacks.

InformationWeek is conducting our third annual State of Enterprise Storage survey on data management technologies and strategies. Upon completion, you will be eligible to enter a drawing to receive an Apple 32-GB iPod Touch. Take our Enterprise Storage Survey now. Survey ends Jan. 13.



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.