Fast Content-Based Packet Handling for Intrusion Detection
Fast Content-Based Packet Handling for Intrusion Detection
IEEE Transactions on Dependable and Secure Computing
IEEE Transactions on Dependable and Secure Computing
Defense against spoofed IP traffic using hop-count filtering
IEEE/ACM Transactions on Networking (TON)
Robust and efficient detection of DDoS attacks for large-scale internet
Computer Networks: The International Journal of Computer and Telecommunications Networking
A fuzzy-genetic approach to network intrusion detection
Proceedings of the 10th annual conference companion on Genetic and evolutionary computation
Flexible Deterministic Packet Marking: An IP Traceback System to Find the Real Source of Attacks
IEEE Transactions on Parallel and Distributed Systems
Information theoretic framework of trust modeling and evaluation for ad hoc networks
IEEE Journal on Selected Areas in Communications
On trust models and trust evaluation metrics for ad hoc networks
IEEE Journal on Selected Areas in Communications
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Denial of service attacks pose a serious challenge to networks as a whole and especially to the Internet. In addition to the strategies in place to control the attack, preventing the attack helps in saving essential network resources. The paper proposes a trust based approach towards preventing such attacks for active networks and is tested using ANTS, an active network test bed. The proposed algorithm is built on reputation based trust approach whereby the peer nodes interact amongst themselves to find the trustworthiness of other participating nodes in the neighborhood based on their reply. Further the packets originating from a node are monitored and using the features of the packet header, a centroid is found for each node using clustering technique and the result of this is combined with the trust already found to make the system more effective in detecting the attack packets and weed out the malicious node with less false alarms.