Big Data. Big Decisions
InformationWeek
Special Coverage Series


Malware Writers Prefer Android

A whopping 96% of all smartphone malware was written for Android in Q4 2012, reports F-Secure.

Owners of Android smartphones have more to worry about than their peers, according to a new security report published Thursday from F-Secure. During the fourth quarter of 2012, 96% of all malware was written for Android, which has become the biggest target for ne'er-do-wells.

F-Secure compiled data from 2010, 2011 and 2012 to provide a picture of the state of smartphone security. It proves at least one major point: it's costly to be popular. "The rise of Android malware can be largely attributed to the operating system's increasing foothold in the mobile market," wrote F-Secure (PDF).

More Insights

Webcasts

More >>

White Papers

More >>

Reports

More >>

In 2010, Nokia's Symbian platform was the most targeted by malware writers. F-Secure said 62.5% of all malware written in 2010 was directed at Symbian, which was the dominant smartphone platform at the time. Following Symbian, 23.75% of malware targeted Microsoft's Windows Mobile platform. Just 11.25% of malware targeted Android in 2010, which was then just catching up to Apple's iOS and BlackBerry's OS in popularity. F-Secure noted that there were 80 malware families and variants in 2010.

The number of malware families surged to 195 in 2011, and so shifted the platforms targeted by malware writers. Actutally, the tables turned entirely. Fully two-thirds of all malware written in 2011 was aimed at Android, with Symbian trailing at 29.7%. Windows Mobile fell off the malware map, with just 1% of malware targeted at Microsoft's still-fading legacy smartphone platform. Android was quickly ascending to the top of the smartphone world by 2011.

[ Want the latest on mobile market share? Read Apple iPhone Gains U.S. Market Share. ]

The picture changed less dramatically in 2012. By the close of the year, 79% of all malware was written for Android (with the fourth-quarter's number leaping to an astonishing 96%). Malware written for Symbian dropped further to 19% for the full year. Only 0.7% of malware written in 2012 targeted Windows Mobile. Malware written for BlackBerry and iOS appeared for the first time, said F-Secure, with 0.3% targeting BlackBerry and 0.7% targeting iOS. The number of malware families climbed to a total of about 301.

What's the big deal with malware? F-Secure said, "Malicious actions carried out by these programs include (but are not limited to) installing hidden objects as well as hiding the objects from the user, creating new malicious objects, damaging or altering any data without authorization, and stealing any data or access credentials." These are all distinct possibilities for any device infected by malware.

Trojans are the biggest threat, representing two-thirds of the malware in 2012. Other threats include spyware, riskware, hack tools, monitoring tools and adware. Malware arrives most commonly via SMS or premium SMS messages/notifications.

It is worth pointing out that the author of this report, F-Secure, sells mobile security products and certainly has an agenda. It wants consumers and businesses to adopt its mobile security and protection products. It is also worth mentioning that in 10 years as a smartphone owner, I've never once experienced, witnessed or even heard of a malware problem affecting anyone. Is there a threat? Sure, but it isn't all that significant, in my opinion.

Here's a pro tip to avoid malware: Don't click on random SMS messages that show up from unknown sources, and only download apps from the Google Play Store (or your official mobile app store).



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.