In this letter, we present a comprehensive analysis of the use of machine and deep learning
(DL) solutions for IDS systems in wireless sensor networks (WSNs). To accomplish this, we …

In the past twenty years, progress in intrusion detection has been steady but slow. The
biggest challenge is to detect new attacks in real time. In this work, a deep learning …

Despite the great developments in information technology, particularly the Internet, computer
networks, global information exchange, and its positive impact in all areas of daily life, it has …

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 …

Due to the rapid advancement of knowledge and technologies, the problem of decision
making is getting more sophisticated to address, therefore the inventing of new methods to …

To design and develop AI‐based cybersecurity systems (eg, intrusion detection system
(IDS)), users can justifiably trust, one needs to evaluate the impact of trust using machine …

The SSH Brute force attack is one of the most prevalent attacks in computer networks. These
attacks aim to gain ineligible access to users' accounts by trying plenty of different password …

In the world today, the security of the computer system is of great importance, And in the last
few years, there have seen an affected growth in the amount of intrusions that intrusion …

In this paper, we provide a comprehensive performance evaluation of popular symmetric
and asymmetric key encryption algorithms to selecting better utilization on resource …

Port scans are a persistent problem on contemporary communication networks. Typically
used as an attack reconnaissance tool, they can also create problems with application …