In this paper, we present a new datamining approach to generating frequent episode rules for the construction of anomaly-based, intrusion detection systems (IDS). These rules are derived from normal network traffic profiles. An anomaly is detected when the rule deviates significantly from the normal patterns. Three rule pruning techniques are devised to reduce the rule search space by 50-80%. T...

Intrusion detection and secure routing schemes have been proposed for increasing the security and reliability in critical scenarios like mobile ad hoc networks. In this paper we present an integrated secure routing system based on Intrusion Detection Systems (IDS) and SUCV (Statistically Unique and Cryptographically Verifiable) identifiers. The proposed IDS has been used for the support of secu...

Security is becoming a critical part of organizational information systems and security of a computer system or network is compromised when an intrusion takes place. In the field of computer networks security, the detection of threats or attacks is nowadays a critical problem to solve. Intrusion Detection Systems (IDS) have become a standard component in network security infrastructures and is ...

In recent years mobile networks have expanded dramatically, compared with other wireless networks. Routing protocols in these networks are designed with the assumption that there is no attacker node, so routing protocols are vulnerable to various attacks in these networks. In this paper, we review the network layer attacks and then we simulate the impact of black hole attack on ad hoc on demand...

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...

Intrusion Detection Systems (IDS) have been developed to solve the problem of detecting the attacks on several network systems. In small-scale networks a single IDS is sufficient to detect attacks but this is inadequate in large-scale networks, where the number of packets across the network is enormous. In this paper, we present an Architectural Framework considering the large-scale network env...

This paper analysis and criticizes the way of using, functioning the intrusion detection system in data mining. Understanding the techniques. data mining approach such as intrusion detection system using association datasets where as in event correlation data mining method we will maintain. traffic analysis and anomaly intrusion detection systems are needed. log data by using a knowledge discov...

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...

1RESEARCH SCHOOLAR 2ASSISTANT PROFESSOR Dept. of Computer Science and Engineering RPIIT Karnal Haryana, India ---------------------------------------------------------------------***--------------------------------------------------------------------Abstract Due increased growth of Internet; number of network attacks has been increased. Which emphasis needs for intrusion detection systems (IDS)...

Cloud computing provides infrastructure to the enterprise through the Internet allowing access to cloud services at anytime and anywhere. This pervasive aspect of the services, the distributed nature of data and the wide use of information make cloud computing vulnerable to intrusions that violate the security of the cloud. This requires the use of security mechanisms to detect malicious behavi...