In recent years, the research community has witnessed an explosion of literature dealing
with the mimicking of behavioral patterns and social phenomena observed in nature towards …

Due to the advance in network technologies, the number of network users is growing rapidly,
which leads to the generation of large network traffic data. This large network traffic data is …

As cybersecurity is a growing field of science, there is not complete agreement across the
scope of cybersecurity research topics. This paper proposes a grouping and classifications …

Ad hoc networks are a new perspective of wireless communication for versatile hosts.
Security is a colossal worry for ad hoc networks, especially for those security-touchy …

Anomaly detection from Big Cybersecurity Datasets is very important; however, this is a very
challenging and computationally expensive task. Feature selection (FS) is an approach to …

Intrusion detection has become important to network security because of the increasing
connectivity between computers and internet. Various Intrusion Detection Systems have …

Computationally expensive applications, including machine learning, chemical simulations,
and financial modeling, are promising candidates for noisy intermediate scale quantum …

Trust management in vehicular ad hoc networks (VANETs) is a challenging dynamic
optimization problem due to their decentralized, infrastructureless, and dynamically …

Massive reliance on practical systems has resulted in several security concerns. The ability
to identify anomalies is a critical safety feature enabled by anomaly diagnostic techniques …

With the increased digital usage, web visibility has become critically essential for
organizations when catering to a larger audience. This visibility on the web is directly related …