Intrusion detection is one of the most essential factors for security infrastructures in network environments, and it is widely used in detecting, identifying and tracking the intruders. To solve the drawback of the SVM algorithm to meet the requirements of the network intrusion detection, we propose network intrusion detection based on improved proximal SVM. Experiment results illustrate the f...

Recently, information security has become a key issue in information technology as the number of computer security breaches are exposed to an increasing number of security threats. A variety of intrusion detection systems (IDS) have been employed for protecting computers and networks from malicious network-based or host-based attacks by using traditional statistical methods to new data mining a...

Today by growing network systems, security is a key feature of each network infrastructure. Network Intrusion Detection Systems (IDS) provide defense model for all security threats which are harmful to any network. The IDS could detect and block attack-related network traffic. The network control is a complex model. Implementation of an IDS could make delay in the network. Several software-base...

Intrusion detection is the act of detecting unwanted traffic on a network or a device. A intrusion detection system (IDS) provides a layer of defense which monitors network traffic for predefined suspicious activity or patterns, and alert system administrators when potential hostile traffic is detected. Intrusion detection faces a number of challenges; an intrusion detection system must reliabl...

In network security, Intrusion Detection System plays a reasonable supplementary role for the firewall. It improves the security and reliability of the computer and helps protect computers from network attacks. At present intrusion detection system analysis module uses the pattern matching technology. In this article, through analyzing the advantages and disadvantages of the main pattern matchi...

The explosive growth of malicious activities on worldwide communication networks, such as the Internet, has highlighted the need for efficient intrusion detection systems. The efficiency of traditional intrusion detection systems is limited by their inability to effectively relay relevant information due to their lack of interactive/immersive technologies. In this paper, we explore several netw...

Intrusion detection for mobile ad hoc network (MANET) is a complex and difficult task due to the nature of the network. The mobile ad hoc network is vulnerable due to its features of open medium, cooperative algorithms, dynamic changing topology, lack of centralized monitoring and management point. The mobile ad hoc networks (MANETs) combine wireless communication with high degree of node mobil...

With the increased usage of computer networks, security becomes a critical issue. Recently, data mining methods have gained lot of attention in addressing network security issues, including intrusion detection. Consequently, unsupervised learning methods have been given much importance for anomaly based network intrusion detection. In this paper, we investigate new clustering algorithms like fa...

Intrusion detection is an emerging area of research in the computer security and networks with the growing usage of internet in everyday life. An Intrusion Detection is an important in assuring security of network and its different resourses. Intrusion detection attempts to detect computer attacks by examining various data records observed in processes on the network. Recently data mining metho...