A survey on data-driven network intrusion detection

D Chou, M Jiang - ACM Computing Surveys (CSUR), 2021 - dl.acm.org
Data-driven network intrusion detection (NID) has a tendency towards minority attack
classes compared to normal traffic. Many datasets are collected in simulated environments …

Data-driven network intrusion detection: A taxonomy of challenges and methods

D Chou, M Jiang - arXiv preprint arXiv:2009.07352, 2020 - arxiv.org
Data-driven methods have been widely used in network intrusion detection (NID) systems.
However, there are currently a number of challenges derived from how the datasets are …

Bio-inspired evolutionary sensory system for cyber-physical system defense

M Azab, M Eltoweissy - 2012 IEEE Conference on …, 2012 - ieeexplore.ieee.org
Cyber Physical Systems (CPS) promise advances towards smarter critical infrastructure
systems significantly enhancing reliability, efficiency and safety. Current CPS Monitoring and …

Cooperative autonomous resilient defense platform for cyber-physical systems

MMM Azab - 2013 - search.proquest.com
Abstract Cyber-Physical Systems (CPS) entail the tight integration of and coordination
between computational and physical resources. These systems are increasingly becoming …

[PDF][PDF] Intelligent Machine Learning mechanism for Advanced Persistent Threats (APT) early detection

A Zaid, G Al-Hamdi Ayeda… - Al-Yemenia University …, 2020 - api2.yuniv.net
Advanced Persistent Threats (APTs) are the major risk to the security of the online systems,
therefore, its detection is very important. User and Entity Behavior Analytics (UEBA) …

Security challenges in IT infrastructure for cybersecurity curriculum support

V Anand - Proceedings of the 40th annual ACM SIGUCCS …, 2012 - dl.acm.org
With the evolving challenges in cyberspace there is a need for curriculum development in
cybersecurity. Students in a cybersecurity curriculum need to access and learn about topics …