With the development of the wireless network techniques, the number of cyber-attack
increases significantly, which has seriously threat the security of Wireless Local Area …

To address the problems of insufficient training samples and unbalanced sample classes for
intrusion detection in real network environments, this paper proposes an intrusion detection …

Recently, with the massive growth of IoT devices, the attack surfaces have also intensified.
Thus, cybersecurity has become a critical component to protect organizational boundaries …

In today's world, Network and System Security are of paramount importance in the digital
communication environment. To avoid breaches, it is badly needed for a security …

In the field of intrusion detection, there is often a problem of data imbalance, and more and
more unknown types of attacks make detection difficult. To resolve above issues, this article …

The wide application of wireless sensor networks (WSN) brings challenges to the
maintenance of their security, integrity, and confidentiality. As an important active defense …

Abstract Intrusion Detection Systems (IDSs) have a significant role in all networks and
information systems in the world to earn the required security guarantee. IDS is one of the …

Deep learning plays a vital role in network security field. Furthermore, the performance of
deep learning based Network Intrusion Detection System (NIDS) is satisfactory and even …

Now-a-days, there is exponential growth in the field of wireless sensor network. In wireless
sensor networks (WSN's), most of communication happen through wireless media hence …

Machine learning techniques are being widely used to develop an intrusion detection
system (IDS) for detecting and classifying cyber attacks at the network-level and the host …