Big Data. Big Decisions
InformationWeek
Special Coverage Series


Apple: Stop Tracking iOS Users By Device IDs

Documentation changes to the iOS 5 beta tell developers to track users via their own applications, not the serial number associated with each device.

11 iPad Apps For Better Collaboration
Slideshow: 11 iPad Apps For Better Collaboration
(click image for larger view and for slideshow)
Apple has instructed third-party developers to cease tracking iPhone, iPad, and iPod Touch users via the unique serial number associated with each one of its hardware devices. Widespread use of the tracking technique had raised privacy concerns and triggered multiple lawsuits against Apple.

In particular, new language in the documentation for iOS 5--the forthcoming version of Apple's mobile OS--informs developers that tracking via the unique device identifier (UDID) has become deprecated. That's developer-speak for "we no longer encourage you to use this feature."

More Insights

Webcasts

More >>

White Papers

More >>

Reports

More >>

"Instead, create a unique identifier specific to your app," according to Apple's documentation. As that suggests, applications will still be able to track users. But deprecating UDID would make it more difficult for businesses that track user behavior online, such as advertising firms, to track a single person's behavior across different applications. Furthermore, since Apple vets all applications--via its AppStore "walled garden" model--it will be able to enforce UDID restrictions.

Does Apple's restriction on the use of UDID by third-party developers mean that Apple itself will cease using UDID? Apple wasn't immediately available to respond to that question.

Research suggests that use of UDID for tracking individual Apple iOS device users is widespread. According to a 2010 study, for example, 68% of tested iPhone apps, when they launched, shared a device's UDID with a server--connected to the application developer, or with an advertising network--while 18% returned unknown, encrypted data back to a server.

Apple has seen multiple lawsuits arise from its use of UDID. For example, the company was sued in a January class action lawsuit for transmitting data to third parties that could be used to track device users without their consent, allegedly in violation of state and federal privacy laws.

According to the related complaint, "Apple allows the UDID to be displayed to application developers, and allows the downloaded applications access to the user's browsing history each time the user clicks on an advertisement or application appearing on their mobile device." Furthermore, noted the complaint, users can't block the use of UDID by iOS applications.

Apple's iOS documentation change was reported by TechCrunch Friday, which obtained a copy of Apple's developer documentation, which is only available to registered developers.

In discussions there, developers reacted in various ways, with some noting that after a feature becomes deprecated, it typically doesn't disappear for at least a few more versions of an OS. Others, however, lamented that without UDID it would be more difficult to track users who installed their applications on multiple devices, perhaps in violation of licensing agreements. Some, however, noted that UDID wasn't the only way to track a device, and acknowledged that UDID had been widely abused as a user-tracking technique.

Information about iOS 5, which has been in beta since June, has been trickling out, most notably via developers sharing their questions and comments via online forums. Apple has been releasing a new build of the beta OS about every two weeks. The final, production version, is due out this fall.

Automation and orchestration technologies can make IT more efficient and better able to serve the business by streamlining common tasks and speeding service delivery. In this report, we outline the potential snags and share strategies and best practices to ensure successful implementation. Download our report here. (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.