An Intrusion Detection System (IDS) is a program that analyzes what happens or has happened during an execution and tries to find indications that the computer has been misused. An IDS does not eliminate the use of preventive mechanism but it works as the last defensive mechanism in securing the system. This Chapter evaluates the performances of two Genetic Programming techniques for IDS namely...

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...

The Internet of Things (IoT) is widely used in advanced logistic systems. Safety and security of such systems are utmost important to guarantee the quality of their services. However, such systems are vulnerable to cyber-attacks. Development of lightweight anomaly based intrusion detection systems (IDS) is one of the key measures to tackle this problem. In this paper, we present a new distribut...

As interest in wireless mesh networks grows, security challenges, e.g., intrusion detection, become of paramount importance. Traditional solutions for intrusion detection assign full IDS responsibilities to a few selected nodes. Recent results, however, have shown that a mesh router cannot reliably perform full IDS functions because of limited resources (i.e., processing power and memory). Coop...

Intrusions are the activities that violate the security policy of system. Intrusion Detection is the process used to identify intrusions. Network security is to be considered as a major issue in recent years, since the computer network keeps on extending dramatically. Information Systems and Networks are subject to electronic attacks and the possibilities of intrusion are very high. An Intrusio...

The goal of a network-based intrusion detection system (IDS) is to identify patterns of known intrusions (misuse detection) or to differentiate anomalous network activity from normal network traffic (anomaly detection). Data mining methods have been used to build automatic intrusion detection systems based on anomaly detection. The goal is to characterize the normal system activities with a pro...

Information security is a vital aspect of any organization. Most of the organizations relay and trust on the intrusion Detection System (IDS) which play important role in detecting intrusions in data network environment. The design of IDS varies with implementation of different IDS techniques involved. The design of IDS techniques keep changes as the trend of data network innovative attack meth...

In traditional intrusion detection system (IDS) environments, little activity has been applied to using visual analysis as an aid to intrusion detection. With more information systems being attacked and attack techniques evolving, the task of detecting intrusions is becoming an increasingly difficult. Efficient information visualization is an important element required for urgent detection of i...

Abstract— In order to provide complete security in a computer system and to prevent intrusion, intrusion detection systems (IDS) are required to detect if an attacker crosses the firewall, antivirus, and other security devices. Data and options to deal with it. In this paper, we are trying to provide a model for combining types of attacks on public data using combined methods of genetic algorit...

In our world of ever-increasing Internet connectivity, there is an on-going threat of intrusion or denial of service attacks. These intrusions may bring all kinds of misuses. Intrusion Detection Systems (IDS) play a very important role in the security of today's networks by detecting when an attack is happening. IDS have evolved into an integral part of network security which monitors the netwo...