Data-driven network intrusion detection (NID) has a tendency towards minority attack
classes compared to normal traffic. Many datasets are collected in simulated environments …

The world is witnessing a phenomenal growth in the cloud enabled services and is expected
to grow further with the improved technological innovations. However, the associated …

Deep learning (DL) has gained popularity in network intrusion detection, due to its strong
capability of recognizing subtle differences between normal and malicious network activities …

Providing a high-performance Intrusion Detection System (IDS) can be very effective in
controlling malicious behaviors and cyber-attacks. Regarding the ever-growing negative …

Reliability and high availability have always been a major concern in distributed systems.
Providing highly available and reliable services in cloud computing is essential for …

With the increase of IoT devices and technologies coming into service, Malware has risen as
a challenging threat with increased infection rates and levels of sophistication. Without …

Intrusion detection (ID) on the cloud environment has received paramount interest over the
last few years. Among the latest approaches, machine learning-based ID methods allow us …

Summary The Internet of Things (IoT) is a rapidly growing trend within many domains, such
as automotive, avionics, automation, energy, and health. IoT architecture is the system of …

Network Intrusion Detection is one of the most researched topics in the field of computer
security. Hacktivists use sophisticated tools to launch numerous attacks that hamper the …

Abstract Edge-of-Things (EoT) is a new evolving computing model driven by the Internet of
Things (IoT). It enables data processing, storage, and service to be shifted from the Cloud to …