4 citations · 5 across the 4 of their papers we have counts for
3 papers · 1 filter
Interpreting Machine Learning Malware Detectors Which Leverage N-gram Analysis
William Briguglio, Sherif Saad
In cyberattack detection and prevention systems, cybersecurity analysts always prefer solutions that are as interpretable and understandable as rule-based or signature-based detect…
JSLess: A Tale of a Fileless Javascript Memory-Resident Malware
Sherif Saad, Farhan Mahmood, William Briguglio +1
New computing paradigms, modern feature-rich programming languages and off-the-shelf software libraries enabled the development of new sophisticated malware families. Evidence of t…
The Curious Case of Machine Learning In Malware Detection
Sherif Saad, William Briguglio, Haytham Elmiligi
In this paper, we argue that machine learning techniques are not ready for malware detection in the wild. Given the current trend in malware development and the increase of unconve…