Today, cyber-attacks that exploit networks and systems vulnerabilities are becoming more
and more effective, reflecting the malicious intentions of certain Internet users. These attacks …

Internet users can carry out their attacks by taking advantage of the flaws in networks and
systems, therefore they are not always acting with good intentions. The repercussions of …

Network Intrusion Detection System (NIDS) is a popular software application that scans and
monitors for suspicious network traffic and alerts when a potential threat is identified …

In today's rapidly evolving digital landscape, ensuring the security of networks and systems
has become more crucial than ever before. The ever-present threat of hackers and intruders …

Three machine learning algorithms-Support Vector Machines (SVM), k-nearest Neighbours
(KNN), and Random Forest (RF)-are analyzed in this research study for their potential use in …

Intrusion Detection Systems (IDS) are critical for safeguarding network security by
monitoring and analyzing network traffic for suspicious activities. This paper presents a …

Despite significant advances in IT security, current solutions fail to guarantee protection
against malicious threats, often consisting of subtle and potentially damaging variants. To …

In the dynamic landscape of cybersecurity, the imperative to develop robust Network
Intrusion Detection Systems (NIDS) remains constant. This study focuses on advancing the …

Network security has emerged as a critical research subject due to the increasing
importance of networks in modern life. An Intrusion Detection System (IDS) keeps tabs on …

Rapid internet growth leads to increased cyber threats, making cybersecurity crucial.
Diverse attacks like DoS, U2R, R2L, Probe, and DNS Spoofing are concerning. Machine …