New Email Malware Detection Can Outperform the Top 60 Antivirus Engines

Researchers at the Ben-Gurion University of the Negev (BGU) Malware Lab in Israel have developed a new method for detecting malicious emails that is more effective than the top 60 antivirus engines on the market, according to a press release provided exclusively to TechRepublic.

Current email solutions use rule-based methods and don’t analyze other elements of the message, Nir Nissim, head of the Malware Lab at BGU, said in the release. Additionally, he said, “existing antivirus engines primarily use signature-based detection methods, and therefore are insufficient for detecting new, unknown malicious emails.”

Email-Sec-360°, the new method from BGU, instead relies on 100 email features to detect a malicious message, according to the release. Developed by Ph.D. student and researcher Aviad Cohen, the method is built on machine learning principles and operates without internet access, making it a useful solution for both individuals and businesses.

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