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What Machine Learning Can Do for Security
Machine learning can be applied in various ways in security, for instance, in malware analysis, to make predictions, and for clustering security events. It can also be used to detect previously unknown attacks with no established signature.
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Department of Homeland Security Weighs in on Threats to Mobile Devices
Especially branded as malicious in the unclassified document is an application known as Carrier IQ. The DHS specifically advises the various branches of the government to install a mobile app dedicated to removing the perceived security threat posed by any instance of Carrier IQ existing on their device.
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U.S. Government Program Seeks Alternatives to Passwords
In an effort to find viable alternatives to the false security offered by passwords, a new U.S. government program is trying to find consensus on standards with leaders of private industry. The new National Strategy for Trusted Identities in Cyberspace (NSTIC) program was formed early in 2011 with limited funding but ambitious objectives.
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Microsoft Released a Threat Modeling Tool
Microsoft has released SDL Threat Modeling Tool 3, a tool used to model, analyze, track and mitigate security vulnerabilities early in the application’s design process.