Computer and Network Security

Book Abstract

Computer & Network Security, This book contains While the rule-based intrusion detection systems (IDSs) can accurately detect already known attacks on a cyberinfrastructure, these systems are not capable to detect novel, unknown, and polymorphic cyber threats.Moreover, the computational overheads including CPU cycles and memory over-heads are unacceptably high for most of the detection systems. Hence, it has been a constant challenge for security researchers to design automated, fast, and yet accu-rate IDSs for deployment in real-world cyberinfrastructures. From expert-crafted rules to sophisticated machine learning and deep learning algorithms, researchers have explored and attempted to push the boundary of the detection accuracy while minimizing the false alarm rates.