With the continuous development of computer networks, the security of the network has
become increasingly prominent. A major threat to network security is the intrusion of …

To address the problem of high false alarm rate confronted by the traditional intrusion
detection systems, this paper presents a new method of applying the artificial neural …

Network intrusion detection technology has been a popular application technology for
current network security, but the existing network intrusion detection technology in the …

Several data mining techniques such as Hidden Markov Model (HMM), artificial neural
network, statistical techniques and expert systems are used to model network packets in the …

Aiming at the problems of low accuracy and efficiency and high false alarm rate in current
network intrusion detection methods, a network intrusion detection method based on …

Intrusion detection technology is an effective approach to dealing with the problems of
network security. In this paper, it presents an intrusion detection model based on hybrid …

Network intrusion anomaly detection technique has been widely employed in computer
network environments as a highly effective security prevention method. As network …

Intrusion detection is a critical process in network security. Nowadays new intelligent
techniques have been used to improve the intrusion detection process. This paper proposes …

To detect various network attacks in real time, this paper developed a network intrusion
detection system based on artificial neural network. This paper first introduced the recent …

Intrusion Detection Systems (IDSs) play a vital role in the overall security infrastructure.
Although the IDS has become an essential part of corporate network infrastructure, the art of …