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News

Big Data Analytics Key To Reducing Message Abuse

Cloudmark : 07 August, 2012  (Technical Article)
Cloudmark spokesman comments on the Information Security Forum report on big data analytics
Mary Landesman, a Senior Security Researcher at Cloudmark comments on the report recently commissioned by the Information Security Forum (ISF), indicating the potential that big data analytics holds in reducing the growing number of cyber security risks.

“The report by the Information Security Forum underscores the role big data analytics has in reducing security risks. This is true not only from a business sense, but also from a telecom security perspective. Big data analytics is not only capable of helping to reduce security threats, it plays a fundamental role in doing so. A use-case example can be seen with the free 7726 service, a spam reporting partnership between the GSMA and Cloudmark which facilitates user-reporting of SMS spam to mobile operators. Through the 7726 spam reporting service's collaborative architecture, mobile operators can leverage crowd sourced intelligence to quickly analyze and respond to new threats.

The 7726 service allows recipients of SMS spam an opportunity to take concrete action against unwanted, unsolicited, and often fraudulent text messaging. A quick forward on the part of the user provides a constant, near realtime data feed to mobile operators – a valuable asset in the fight against spam, both for blocking and investigative purposes. Given that 70% of SMS spam attempts to defraud recipients in some manner, it is more important than ever that mobile operators provide their users with the means to proactive and safely respond to these threats.”
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