Big Data. Big Decisions
InformationWeek
Special Coverage Series


Social Tech Thwarts Overzealous Spam Filters

TrustSphere says its TrustVault product helps crucial emails get through--even in the midst of a denial of service attack--by correctly identifying trusted senders.

As annoying as spam is, an overactive spam filter is almost worse when it prevents important messages from getting through.

A company called TrustSphere says the TrustVault product it introduced this week can act as a counterweight to the spam filter, using a type of "social graph" to identify trusted senders and allow their messages to get through--even in the midst of a crisis such as a distributed denial of service attack on an executive's email account.

More Insights

Webcasts

More >>

White Papers

More >>

Reports

More >>

"Inside the the organization, we're effectively mapping who's speaking to whom and turning that into an enterprise social graph," Manish Goel, CEO of TrustSphere, said in an interview. "We're tracking who's speaking with whom and how often--what's the cadence of communication." In that way, TrustVault can identify the trustworthy senders and allow their messages to go through, even if they would otherwise be blocked by a spam filter.

So far, this social graph is based entirely on the exchange of email, although TrustSphere is working on ways of integrating social media and voice over Internet protocol communications for a more complete picture, Goel said. But TrustSphere is applying elements of social networking theory such as Dunbar's number, anthropologist Robin Dunbar's concept that humans can only track a limited number of relationships, often theorized as about 150, and rely on "circles of trust" for more extended relationships. In this way, TrustSphere models trustworthy connections at the organizational level, as well as at the individual level. TrustVault is also linked to a related service, TrustCloud, which tracks the reputation of email accounts across the Internet.

TrustSphere doesn't filter the content of the messages at all, looking only at the pattern of communication and touching only the email header fields, Goel said. The service does detect email authentication methods, such as the use of Sender Policy Framework tagging, but it's counted as an indicator of trustworthiness rather than a final verdict, he said.

Messages cleared by TrustVault can still go through anti-virus and spyware scans, and even previously trusted senders can be screened out if they start exhibiting suspicious behavior, Goel said. But sometimes letting the right messages through can be as important as keeping the wrong ones out. For example, corporations targeted by activists or hactivists sometimes have the email accounts of top executives rendered useless when they are flooded by messages sent by angry consumers or generated by bots. With TrustVault, the messages from known senders could be delivered to the executive being targeted, while all the rest would be routed for review by an administrative assistant.

One of the company's oldest customers, the doctors.net.uk social network for physicians in the U.K., has been using a version of the same technology to allow email that uses words like "Viagra" or "penis" to get past spam filters when those words are used in a legitimate medical context, rather than for spam or pornographic promotions, Goel said.

Enterprise Social Networks: A Guided Tour
Enterprise Social Networks: A Guided Tour
(click image for larger view and for slideshow)

"This also allows you to turn up the threshold on the aggressiveness of your spam filters without missing messages," Goel said. "I liken this to why cars have brakes--to allow you to go faster. Spam filtering is very much focused on identifying the bad guys. We're using the good and the bad to improve the overall security infrastructure."

Founded in Singapore, TrustSphere is just now bringing its product to the U.S. market.

Follow David F. Carr on Twitter @davidfcarr. The BrainYard is @thebyard and facebook.com/thebyard

The Enterprise 2.0 Conference brings together industry thought leaders to explore the latest innovations in enterprise social software, analytics, and big data tools and technologies. Learn how your business can harness these tools to improve internal business processes and create operational efficiencies. It happens in Boston, June 18-21. Register today!



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.