The ever-increasing number of multi-vector cyberattacks has become a concern for all levels
of organizations. Attackers are infecting Internet-enabled devices and exploiting them to …

A cyber-attack is precautious manipulation of computer systems and networks using
malware to conciliate data or restrict processes or operations. These types of attacks are …

This is a systematic review of over one hundred research papers about machine learning
methods applied to defensive and offensive cybersecurity. In contrast to previous reviews …

In this computerized era, cyber-attacks have turned quite common. Every year, the number
of cyber-attacks escalates, and so does the austerity of the harm. In today's digital …

The protection of information and information infrastructures from unauthorized access, use,
disclosure, disruption, modification, or destruction is today more critical than ever as they …

This SpringerBrief presents the underlying principles of machine learning and how to deploy
various deep learning tools and techniques to tackle and solve certain challenges facing the …

CSE-CIC-IDS2018 is an intrusion detection dataset containing roughly 16,000,000 normal
and anomalous instances, with about 17% of these instances representing attack traffic. Our …

Cybercriminals disrupt services, exfiltrate sensitive data, and exploit victim machines and
networks to perform malicious activities against organizations. A malicious adversary seeks …

Cyber-attacks are becoming more and more multiple and sophisticated, Causing profound
consequences on humans and their organization. This has led researchers and specialists …

Abstract Machine learning (ML) is a subfield of Artificial Intelligence (AI) that contributes to
the development of systems that can learn from previous data, spot patterns, and make …