Big Data. Big Decisions
InformationWeek
Special Coverage Series


Iran Hacked GPS Signals To Capture U.S. Drone

Exploit of well-known bug in drone's software made it think it was landing at an American airfield, not 140 miles inside Iran.

Iran recently captured a CIA batwing stealth drone by spoofing the GPS signals it received, fooling the drone into thinking it was landing at its home base.

The Christian Science Monitor, broke that news Thursday, after interviewing an Iranian engineer who's been reviewing the systems of the captured RQ-170 Sentinel drone, which was downed by Iranian forces on December 4 near Kashmar, which is about 140 miles inside northeast Iran.

More Insights

Webcasts

More >>

White Papers

More >>

Reports

More >>

"The GPS navigation is the weakest point," the engineer told the Monitor. Indeed, numerous researchers have warned that GPS signals are relatively easy to spoof, given that the related signal broadcast by satellites is relatively weak. Accordingly, the Iranians focused on spoofing the GPS data being received by the drone.

[ A nationwide broadband network is at risk due to GPS interference. See Lightsquared Disrupts Airplane Navigation GPS, Feds Say. ]

To make the drone rely only on GPS, however, first the Iranians jammed the remote-control communications channel used to guide the drone from its control center. "By putting noise [jamming] on the communications, you force the bird into autopilot. This is where the bird loses its brain," said the engineer. Notably, it's also much easier than trying to crack the encrypted remote-control communications channel.

With the drone relying solely on GPS to determine its latitude, longitude, altitude, and velocity, the Iranians then broadcast carefully spoofed GPS coordinates, which allowed the drone to land at what it believed was its home base. In reality, it landed well inside Iranian borders. The altitude of the spoofed location was slightly different, however, which ended up denting the drone's underbelly, as can be seen in video footage released by Iran.

Tuesday, the Obama administration appealed to Iran to return the drone, but voiced doubts that the country would comply with that request. At least one semi-official Iranian news agency also appeared to dismiss the request. Furthermore, the Swiss ambassador to Iran--who handles American interests with Iran--was summoned by Iranian officials on Thursday to account for "America's violation of the country's airspace with a spy drone," reported Haaretz.com.

U.S. officials have said the drone, which was under the control of the CIA, was conducting reconnaissance of sites that might be used for nuclear energy or weapons production. In a press conference this week, U.S. defense secretary Leon Panetta said that "important intelligence operations" such as the drone program would continue.

According to the Iranian engineer that spoke with the Monitor, Iran's takedown of a U.S. drone didn't occur overnight. Rather, its engineers have been studying drones since 2007, and especially since 2009, which is when the RQ-170 first deployed in Afghanistan. They also reverse-engineered the systems of two less-advanced drones that had been downed inside Iran in recent years, looking for exploitable vulnerabilities.

The revelations over Iran's GPS jamming capabilities mean that the country could be able to divert any GPS-guided missiles launched at targets inside its borders.

IT's spending as much as ever on disaster recovery, despite advances in virtualization and cloud techniques. It's time to break free. Download our Disaster Recovery Disaster supplement 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.