The distributed and open structure of cloud computing and services becomes an attractive
target for potential cyber-attacks by intruders. The traditional Intrusion Detection and …

Abstract In recent years, Mobile Ad hoc NETworks (MANETs) have generated great interest
among researchers in the development of theoretical and practical concepts, and their …

The intrusion detection system (IDS) model, which can identify the presence of intruders in
the network and take some predefined action for safe data transit across the network, is …

Cybersecurity threats have become more worldly, demanding advanced detection
mechanisms with the exponential growth in digital data and network services. Intrusion …

With all the sophisticated threats to network security, intrusion detection is a section of the
security technology industry that is becoming increasingly significant. In this research paper …

Distributed Denial of Service (DDoS) is a major threat among many security issues. To
overcome this problem, many studies have been carried out by researchers, however due to …

Artificial intelligence (AI) is a powerful technology that helps cybersecurity teams automate
repetitive tasks, accelerate threat detection and response, and improve the accuracy of their …

Cloud Computing represents both a technology for using computing infrastructures in a
more efficient way, and a business model for selling computing resources and services. On …

The development of new technologies has significantly enhanced the monitoring and
analysis of network traffic. Modern solutions like the Extended Berkeley Packet Filter (eBPF) …

Smart devices are enabled via the Internet of Things (IoT) and are connected in an
uninterrupted world. These connected devices pose a challenge to cybersecurity systems …