Ben-Gurion University Develops Malicious Machine Learning eMail Detection Software
NEW YORK - Ben-Gurion University of the Negev Malware Lab researchers have developed a new method to detect unknown, malicious emails that is more accurate than the most popular antivirus software products. Email messages are widely used by attackers to deliver dangerous content to a victim, such as attachments or links to malicious websites. "Existing email analysis solutions only analyze specific email elements using rule-based methods, and don't analyze other important parts," says Dr. Nir Nissim, head of the David
