Big Data. Big Decisions
InformationWeek
Special Coverage Series

Commentary

Mathew J. Schwartz

Mathew J. Schwartz



Carrier IQ: What Carriers, Device Makers Must Do Next

Let smartphone users opt into how their devices and related data get tracked, preferably from handsets. Otherwise, carriers and manufacturers will continue to look like they have something to hide.

Customer trust is a delicate thing, and vendor secrecy can scuttle it quickly. Take, for example, the case of Carrier IQ's tracking software, in which carriers' and handset manufacturers' secrecy about how they use the software has made it look like they have something to hide.

Since news of the tracking practices broke several weeks ago, studies by two independent researchers have found that Carrier IQ's software hasn't been doing anything technically nefarious. But one of those researchers, Dan Rosenberg of Virtual Security Research, called out--via a Pastebin post--the bigger issues: "Carrier IQ does a lot of bad things. It's a potential risk to user privacy, and users should be given the ability to opt out of it."

More Insights

Webcasts

More >>

White Papers

More >>

Reports

More >>

In fact, how carriers and manufacturers deploy Carrier IQ can create security risks. Notably, security researcher Trevor Eckhart found that as deployed on HTC handsets, the Carrier IQ software was being used to create a log of numerous data points, which could potentially then be accessed and stolen by a malicious application.

Carrier IQ, however, said--without naming clients--that the security vulnerability would have been HTC's fault. "What goes in that log file is up to the manufacturer," Carrier IQ's VP of marketing, Andrew Coward, told The Verge. "What should be happening is it should just be giving it to us through the API. What appears to be happening is that it's giving it to us and making a copy of what it gave to us in the log file."

[ Is Carrier IQ running on your phone? Read Carrier IQ On Your Android? 3 Apps With Answers. ]

Which handsets may have bugs relating to their Carrier IQ software? Carriers and manufacturers have yet to come completely clean on exactly which of their handsets have Carrier IQ installed. Even an unspecified number of Apple devices--perhaps iPhones and iPad tablets--are also running Carrier IQ software, though Apple said it stopped supporting the software as of iOS 5 and will remove it altogether in a future update.

In other words, instead of truly coming clean, carriers and manufacturers have left the task of Carrier IQ detection to Android enthusiasts and application vendors, while Carrier IQ tried to squelch security researchers who disclosed how the software works.

"Initially, when discovered, Sprint was very deceptive and even denied it existed," says Jon Root of the Android Creative Syndicate team, referring to when the security researcher known as "k0nane" first discovered Carrier IQ software running on Android smartphones. "This went above and beyond breaching the trust of customers. They should have had talking points rather than trying to sweep it under the rug."

Those talking points have finally started to arrive. A leaked internal T-Mobile memo obtained by TmoNews says that nine T-Mobile handsets--BlackBerry (9360, 9810, 9900), HTC (Amaze 4G), LG (DoublePlay), Samsung (Exhibit II 4G, Galaxy S II), T-Mobile (myTouch by LG, myTouch Q by LG)--have Carrier IQ's software installed.

The memo also highlights three examples of how T-Mobile uses Carrier IQ's software: to determine if a failure of a handset to stay charged relates to the battery, charger, or something running on the device; to determine whether a handset or the network is responsible for dropped calls; and to diagnose the cause of app failure, which may result in handsets freezing. Meanwhile, SprintFeed scored its own photo of an internal memo (carriers: beware employees bearing camera smartphones) that presents Sprint insiders with similar information.

Perhaps executives at the carriers wrote the memos as they rehearsed answers to related questions posed by legislators, regulators, and litigators (there are at least four class-action lawsuits underway).

Given this "Carrier IQ-gate" fallout, what could be done to assuage customers about these data-collection practices? "I would like CIQ to contractually ensure that their carrier and OEM partners provide an opt-in or opt-out option, and a full disclosure of what data is being sent, and to who," says k0nane via email. "Additionally, security holes such as those left in by HTC ... must be corrected."

"It is important to note, however, that carriers and OEMs are the final decision-makers for CIQ's software--the former, for which metrics will be tracked, and the latter, for how it is implemented," he says. Accordingly, he wants to see carriers' and manufacturers' implementations of Carrier IQ audited by a third party. That audit would demonstrate that the software is behaving as advertised and help prevent security holes.

Furthermore, why use Carrier IQ or other such monitoring software on the sly? From Microsoft to Mozilla, computer operating systems and software applications give users the ability to share post-crash information with the relevant vendor, as well as to detail what exactly gets shared. That model could be applied to mobile phones, as part of an opt-in model. "Allow more granular control--if the user opts in, let them select what they wish to share," says k0nane. "As an example, I--as a user--may allow signal strength and location to be sent upon a dropped call, but not who I was calling, or any other data."

Let smartphone users opt into how their devices and related data gets tracked, preferably from their handsets. Otherwise, carriers and manufacturers will continue to look like they have something to hide, and face the prospect of customers choosing to opt out of that kind of relationship.

Database access controls keep information out of the wrong hands. Limit who sees what to stop leaks--accidental and otherwise. Also in the new, all-digital Dark Reading supplement: Why user provisioning isn't as simple as it sounds. Download the 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.