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VB2017 preview: Stuck between a ROC and a hard place

We preview the VB2017 paper by Microsoft's Holly Stewart and Joe Blackbird, which uses data about users switching anti-virus provider to decide whether machine-learning models should favour avoiding false positives over false negatives.
Authors of security software in general, and anti-virus software in particular, have always needed to find the right balance between a high detection rate and a low false positive… https://www.virusbulletin.com/blog/2017/08/vb2017-preview-stuck-between-roc-and-hard-place/

Research paper shows it may be possible to distinguish malware traffic using TLS

Researchers at Cisco have published a paper describing how it may be possible to use machine learning to distinguish malware command-and-control traffic using TLS from regular enterprise traffic, and to classify malware families based on their encrypted C…
Researchers at Cisco have published a paper (PDF) describing how it may be possible to use machine learning to distinguish malware command-and-control (C&C) traffic using TLS from… https://www.virusbulletin.com/blog/2017/06/research-paper-shows-it-may-be-possible-distinguish-malware-traffic-using-tls/