In the rapidly evolving IT industry, containerization has introduced new security challenges
including cloud data breaches. DL-HIDS explores the application of Deep Learning (DL) …

Cybersecurity systems are required at the application, network, host, and data levels. The
research is purposed to evaluate Artificial Intelligence paradigms for use in network …

The purpose of this research was to develop a structure for a network intrusion detection and
prevention system based on the Bayesian Network for use in Cybersecurity. The …

The phenomenal growth in the use of internet-based technologies has resulted in
complexities in cyber security subjecting organizations to cyber-attacks. This research is …

Cyber security systems have become of ground zero importance at all levels, inclusive of
data, host, network, and application levels. Cyber security refers to a combination of …

Efficient intrusion detection algorithms are required for network traffic learning patterns in
order to protect advanced network communication channels. These systems can be used to …