The COVID-19 pandemic has witnessed a huge surge in the number of ransomware attacks.
Different institutions such as healthcare, financial, and government have been targeted …

The rapid evolution of technology has led to the generation of high dimensional data
streams in a wide range of fields, such as genomics, signal processing, and finance. The …

Fog Computing has emerged as an extension to cloud computing by providing an efficient
infrastructure to support IoT. Fog computing acting as a mediator provides local processing …

The rapid adoption of mobile devices has dramatically changed the access to various
networking services and led to the explosion of mobile service traffic. Mobile service traffic …

The rapid advancements in cyber-attack strategies are in parallel with the measures for
detection, analysis, and prevention. Attackers have recently developed fileless malware that …

With the recent developments in the Internet of Things (IoT), the amount of data collected
has expanded tremendously, resulting in a higher demand for data storage, computational …

Medical Cyber-Physical Systems (MCPS) hold the promise of reducing human errors and
optimizing healthcare by delivering new ways to monitor, diagnose and treat patients …

Recent work has shown that deep learning (DL) techniques are highly effective for assisting
network intrusion detection systems (NIDS) in identifying malicious attacks on networks …

Deep learning (DL) techniques have recently been proposed for enhancing the accuracy of
network intrusion detection systems (NIDS). However, kee** the DL based detection …

An unauthorized activity on the network is called network intrusion and device or software
application which monitors the network parameters in order to detect such an intrusion is …