In this paper, an adaptive network intrusion detection method using fuzzy rough set-based
feature selection and GA-GOGMM-based pattern learning is presented. Based on the fuzzy …

Abstract Intrusion Detection Systems (IDSs) have received more attention to safeguarding
the vital information in a network system of an organization. Generally, the hackers are …

The element extraction from network security condition is the foundation security awareness.
Its excellence directly disturbsentire security system performance. In this paper we introduce …

A mobile ad-hoc network is a small and temporary network. This network has a different
working principle and structure than wired networks. A source node transfers data to the …

Despite the increasing awareness of cyber-attacks against Critical Infrastructure (CI),
safeguarding the Supervisory Control and Data Acquisition (SCADA) systems remains …

Recently machine learning-based intrusion detection approaches have been subjected to
extensive researches because they can detect both misuse and anomaly. In this paper …

Development of an efficient real time intrusion detection system (IDS) has been proposed in
the paper by integrating Q-learning algorithm and rough set theory (RST). The objective of …

Network security is a mechanism of protecting the usability and integrity of any given
network and its transmitted data. Network security's effectiveness is crucial to the network …

With theincreasing worldwide network attacks, intrusion detection (ID) hasbecome a
popularresearch topic inlast decade. Several artificial intelligence techniques such as neural …

With the rapid advance of Internet of Things (IoT), it is difficult for cloud-centric computing to
meet the requirements of low latency and ease of use. As an open and distributed system …