Ransomware Meets its Match with Machine Learning
Cyber criminals are generating millions of dollars in revenue by targeting organizations with dated cybersecurity infrastructures.The latest attack techniques are designed to take over legitimate user credentials and have evolved to evade traditional signature-based perimeter defenses, which enables attackers to compromise users and masquerade as legitimate insiders with full access to corporate networks. Skilled cyber criminals are increasingly deploying new strains of ransomware due to its effectiveness in avoiding detection and in generating profits.In fact, the FBI’s Internet Crime Complaint Center released data revealing that there were 2,453 reported cases of ransomware attacks in 2015 and victims paid around $24.1 million to regain access to critical data. In addition, Symantec’s Ransomware and Businesses 2016 report found that the average ransomware demand went from $294 in 2015 to $679 in 2016,…
Link to Full Article: Ransomware Meets its Match with Machine Learning
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