The increasing use of Industrial Internet of Things (IIoT) devices has heightened concerns
about cybersecurity threats, particularly botnet attacks. Traditional internet communication …

With a plethora of new connections, features, and services introduced, the 5th generation
(5G) wireless technology reflects the development of mobile communication networks and is …

In this paper, we exploit the concrete surface flaw inspection through the fusion of visual
positioning and semantic segmentation approach. The fused inspection result is …

Effective detection of botnet traffic becomes difficult as the attackers use encrypted payload
and dynamically changing port numbers (protocols) to bypass signature based detection …

Differentiating malware is important to determine their behaviors and level of threat; as well
as to devise defensive strategy against them. In response, various anti-malware systems …

Currently we live in hyper-connected world, which is one of the main causes for the fast
propagation of Information Technology (IT) Security attacks. An IT Security incident can …

This paper studies adversarial attacks on network intrusion detection systems (IDSs) based
on deep or machine learning algorithms. Adversarial attacks on network IDSs must maintain …

This research relies on the proposed comprehensive flow based anomaly detection
architecture, which is a complex solution that encompasses support modules for entropy …

Publicly available blacklists are popular tools to capture and spread information about
misbehaving entities on the Internet. In some cases, their straight-forward utilization leads to …

The paper presented here is centered around the analysis of network attack detection using
machine learning. It starts by examining the development and categorization of network …