In today's digital world, the tremendous amount of data poses a significant challenge to
cyber security. The complexity of cyber-attacks makes it difficult to develop efficient tools to …

Organizations that benefit from information technologies are vulnerable to various attacks
and malicious behaviors. Intrusion Detection Systems (IDS) are one of the main lines of …

Security is playing a major role in this Internet world due to the rapid growth of Internet users.
The various intrusion detection systems were developed by many researchers in the past to …

In the data security context, anomaly detection is a branch of intrusion detection that can
detect emerging intrusions and security attacks. A number of anomaly detection systems …

This paper presents a network anomaly detection method based on fuzzy clustering.
Computer security has become an increasingly vital field in computer science in response to …

Data clustering is a necessary process in many scientific disciplines, and fuzzy c-means
(FCM) is one of the most popular clustering algorithms. Recently, distributing weight values …

Security is a key issue to both computer and computer networks. Intrusion detection System
(IDS) is one of the major research problems in network security. IDSs are developed to …

Introduction The development of the Internet has made life much more convenient, but forms
of network intrusion have become increasingly diversified and the threats to network security …

Internet security is very crucial need in this real world environment due to the rise of e-
business, e-learning, and e-governance. Intellectual data mining applications are useful for …

Network security in smart cities has become a key problem in the rapid development of
computer networks over the past few years. Intrusion detection systems play a fundamental …