The popularity of using Internet contains some risks of network attacks. Intrusion detection is
one major research problem in network security, whose aim is to identify unusual access or …

Abstract Software-Defined Networking (SDN) is widely considered as one of the next
generation network architecture. However, SDN faces with a series of issues which restraint …

Most of existing intrusion detection (ID) models with a single-level structure can only detect
either misuse or anomaly attacks. A hierarchical ID model using principal component …

Intrusion detection systems are widely implemented to protect computer networks from
threats. To identify unknown attacks, many machine learning algorithms like neural networks …

Network intrusion is a growing threat with potentially severe impacts, which can be
damaging in multiple ways to network infrastructures and digital/intellectual assets in the …

The recent malware outbreaks have shown that the existing end-point security solutions are
not robust enough to secure the systems from getting compromised. The techniques, like …

The growing rate of cyber-attacks on system networks in recent years exacerbates the
privacy and security of computer infrastructure and personal computers. Intrusion Detection …

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 …

Intrusion Detection Systems (IDSs) have been developed for many years, but in general they
fall short in efficiently detecting zero-day attacks. A promising approach to this problem is to …

Intrusion detection systems (IDS) are developing very rapid in recent years. But most
traditional IDS can only detect either misuse or anomaly attacks. In this paper, we propose a …