Home networks increasingly support important networked applications with limited
professional network administration support, while sophisticated attacks pose enormous …

Intrusion detection is a critical aspect of network security to protect computer systems from
unauthorized access and attacks. The capacity of traditional intrusion detection systems …

In the age of sophisticated cyber threats, botnet detection remains a crucial yet complex
security challenge. Existing detection systems are continually outmaneuvered by the …

With the usage of Machine Learning (ML) algorithms in modern-day Network Intrusion
Detection Systems (NIDS), contemporary network communications are efficiently protected …

Software-defined networking (SDN) is an innovative technology that has the potential to
enhance the scalability, flexibility, and security of telecommunications networks. The …

Intrusion detection maintains the normal activity of the network system by identifying
abnormal connections, while intrusion analysis further identifies specific types of …

Abstract The data of Industrial Control Networks presents high-dimensional and nonlinear
characteristics, making cyberattack detection a challenging problem. Multiple kernel …

Abstract Intrusion Detection Systems (IDS) are crucial components of network security
solutions designed to identify and reduce threats in real-time. The main function of IDS is to …

Machine learning (ML)-based network intrusion detection systems (NIDS) have become a
prospective approach to efficiently protect network communications. However, ML models …

Internet's omnipresent adoption over the course of many years leading up to the current era
along with Wireless Sensor Networks'(WSN) limitations has only increased the security …