Can machine/deep learning classifiers detect zero-day malware with high accuracy?
F Abri, S Siami-Namini, MA Khanghah… - … conference on big …, 2019 - ieeexplore.ieee.org
The detection of zero-day attacks and vulnerabilities is a challenging problem. It is of utmost
importance for network administrators to identify them with high accuracy. The higher the …
importance for network administrators to identify them with high accuracy. The higher the …
The performance of machine and deep learning classifiers in detecting zero-day vulnerabilities
F Abri, S Siami-Namini, MA Khanghah… - arXiv preprint arXiv …, 2019 - arxiv.org
The detection of zero-day attacks and vulnerabilities is a challenging problem. It is of utmost
importance for network administrators to identify them with high accuracy. The higher the …
importance for network administrators to identify them with high accuracy. The higher the …
Detecting web spams using evidence theory
M Chatterjee, AS Namin - 2018 IEEE 42nd Annual Computer …, 2018 - ieeexplore.ieee.org
Search engines are the major instruments on the Web. The determination of the liability of
the results returned by a typical search engine is a daunting challenge mainly due to the …
the results returned by a typical search engine is a daunting challenge mainly due to the …
Enforcing optimal moving target defense policies
This paper introduces an approach based on control theory to model, analyze and select
optimal security policies for Moving Target Defense (MTD) deployment strategies. A Markov …
optimal security policies for Moving Target Defense (MTD) deployment strategies. A Markov …
Markov decision process to enforce moving target defence policies
Moving Target Defense (MTD) is an emerging game-changing defense strategy in
cybersecurity with the goal of strengthening defenders and conversely puzzling adversaries …
cybersecurity with the goal of strengthening defenders and conversely puzzling adversaries …