Big Data. Big Decisions
InformationWeek
Special Coverage Series


Election 2012 Hacking Threat: 10 Facts

Election technology has improved since the 2000 presidential election "hanging chad" debacle, but new and old threats may put your vote at risk.

Could the U.S. elections be hacked, allowing attackers to adjust ballot counts and alter election results?

That threat, to be sure, sounds like little more than a Hollywood movie plot. Furthermore, based on recent reviews of states' voting system readiness, the more likely scenario is that voting systems in key swing states would simply crash. Cue delayed elections and potentially, disenfranchised voters with uncounted votes.

More Insights

Webcasts

More >>

White Papers

More >>

Reports

More >>

On the other hand, given the widespread and well-documented flaws in electronic voting systems, as well as the potential for such systems to crash or behave erratically, election officials must keep a close eye not just on the voting systems' physical and information security, but also the vote results themselves, to ensure that every vote counts. Here are 10 related facts.

1. Good News: Technology Now Records More Votes Properly

According to a report released earlier this month by the Caltech/MIT Voting Technology Project, which was launched in the wake of the 2000 presidential election, changes in voting technology have reduced the difference between votes cast and votes counted. That difference stems both from technology-related failures, including vote-counting systems being unable to properly read what a user has filled out on an optically scanned paper ballot, as well as from user errors, such as a voter picking two candidates for a single office.

[ Learn more about the tech behind Election 2012: How Voters Play Smartphone Politics. ]

Overall, the difference between votes cast and counted dropped from 2% in 2000, to 1% in 2006. Technologically speaking, what's facilitated that change? Start with awareness--as well as public shaming--after the 2000 presidential elections saw Florida officials become a punchline owing to the failure of the state's circa-1960s punch-card election technology. In particular, vote-tabulating machines weren't able to count ballots with incompletely punched holes, also known as hanging, dimpled, or pregnant chads. While the problem was widespread, the presidential election results hinged on the state's voters, and officials struggled to produce an accurate count of how votes had actually been cast.

2. Key Equipment Meltdowns Could Scuttle Election Results

What do Ohio, Virginia, Colorado, Nevada, and Pennsylvania all have in common? They occupy the top-five list of the "riskiest states for an e-voting meltdown." The list, detailed on the Freedom to Tinker blog, is based in part on the Counting Votes 2012 study of states' election preparedness, the VerifiedVoting.org Verifier database of the election technology that's currently being used by different states, and the relative likelihood that it will fail.

While the four researchers who authored the e-voting meltdown study said that "a meltdown scenario is very unlikely"--as is a "knife-edge selection" of the type that occurred in Florida in 2000--they still decided to review the likelihood that such problems could "cause a state to cast the deciding electoral college vote that would flip the election winner from one candidate to the other." Ohio, beware.

3. Recession Slows New Voting Technology Adoption

In the wake of the 2000 Florida vote-counting debacle, numerous states quickly dumped their antiquated punch-card-type systems. Unfortunately, the rush to find a new solution led many to adopt electronic voting systems--some with touchscreens--without first thoroughly vetting the technology. In short order, security experts began reporting that such technology employed proprietary systems predicated on "security through obscurity," and typically sported numerous physical as well as information security vulnerabilities.

4. Diebold Machines Remain In Use

In particular, Diebold soon became the face of electronic voting machines' failures, in large measure because the company's machines--as well as those of its competitors--were black boxes. Chief amongst electronic voting machines' list of faults, however, was that they failed to generate a paper-based audit trail. As a result, not only could the machines be hacked, but such hacking might never be detected.

 1 | 23  | Next Page »


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.