MACHINE-LEARNING ALGORITHM COMBS THE DARKNET FOR ZERO DAY EXPLOITS, AND FINDS THEM
A key goal for cybersecurity experts is to identify zero day exploits before they can be turned into malware. And for computer engineer Eric Nunes and team at Arizona State University’s CySIS Lab, the case of the Dyre Banking Trojan has provided important inspiration for an entirely new approach to this kind of cybersecurity
Also see:
- Automated data mining system finds 300 threats a week, say researchers, IT World Canada, Aug. 10
- Automated systems crawl the Dark web to find Zero-Days, Security Affairs, Aug. 9
- Why you need to be concerned about zero-day exploits, Kim Komando, Aug. 8
