Big Data. Big Decisions
InformationWeek
Special Coverage Series


Mobile's Cryptography Conundrums

Two RSA presentations--one by NSA and one by Cryptography Research experts--show lack of maturity in mobile ecosystem.

Immaturity in mobile device hardware and operating system environments is holding back organizations' deployments of strong cryptographic protections around mobile applications, according to a pair of unrelated presentations at the RSA Conference last week.

In one instance, the National Security Agency (NSA) discussed how difficult it was for the government to tweak commercially available devices to conform to government cryptographic standards. And in another case, a pair of experts from the firm Cryptographic Research showed a demonstration of how mobile devices are radiating cryptographic keys for sensitive applications such as payment applications through wireless transmissions.

More Insights

Webcasts

More >>

White Papers

More >>

Reports

More >>

"Why is this so hard? We tried very hard to just stick with the standards and build a component-based infrastructure using what we think are the industry standards now, and yet at every point we ran into little gotchas," said Margaret Salter, technical director for the fusion, analysis and mitigations group within the Information Assurance Directorate of the NSA. "So I'm really hoping I can engage industry and everybody to sort of push together for this standards-based idea so that it's easier for everybody to build a system like this."

[ Catch up on our complete RSA 2012 Security Conference coverage. ]

Salter's much-attended discussions--so much so there was an encore presentation--walked the audience through the NSA's process of creating an architecture where it could encrypt voice and data over commercial 3G and 4G networks using commercially available phones. According to her, the genesis of the project came due to the rapid advancement of mobile handsets and tablets that far outpaced the NSA's ability to create its own homebrew devices, which in years past was its mobile strategy.

"We were looking at regular tablets and regular smartphones and trying to figure out some way of creating an architecture where those phones could be used to protect some of our most classified information," she said, explaining that one of the first applications most important to the agency was voice over IP. "So we consider voice as a data connection and we looked for the secure protocol we could use to connect that up to our backend infrastructure and terminate that on some sort of SIP server or unified communications server, and we also encrypted that. And that's how we get what we call double-tunneling. And that's basically been our guiding principles for creating an architecture for mobility."

Read the rest of this article on Dark Reading.

Security professionals often view compliance as a burden, but it doesn't have to be that way. In this report, we show the security team how to partner with the compliance pros. Download the 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.