No abstract

From the past few years, Intrusion Detection Systems (IDS) are employed as a second line of defence and have shown to be a useful tool for enhancing security by detecting suspicious activity. Anomaly based intrusion detection is a type of intrusion detection system that identifies anomalies. Conventional IDS are less accurate in detecting anomalies because of the decision taking based on rules. The IDS with machine learning method improves the detection accuracy of the security attacks. To this end, this paper studies the classification analysis of intrusion detection using various supervised learning algorithms such as SVM, Naive Bayes, KNN, Random Forest, Logistic Regression and Decision tree on the NSL-KDD dataset. The findings reveal which method performed better in terms of accuracy and running time.

No abstract

Abstract:Optimised link state routing (OLSR) protocol is a popular proactive routing protocol for wireless ad-hoc networks (WANETs). The functionality of OLSR protocol such as selection of multi-point relays, controlling the flooding of link state information and preparation of the routing table is depending upon the cooperation among the nodes in the network. However, open and decentralised network operations of WANETs introduce various security vulnerabilities to disrupt the routing process. To this end, this paper proposes a reputation-based trust model to enhance the cooperation among nodes in the routing process. The proposed trust model calculates the consolidate trust value (CTV) using direct and indirect observations. This CTV is used in the OLSR process to identify and isolate the misbehaving nodes from the routing path without having additional overhead. The simulation results show the effectiveness of the proposed method.

Abstract:Optimised link state routing (OLSR) protocol is a popular proactive routing protocol for wireless ad-hoc networks (WANETs). The functionality of OLSR protocol such as selection of multi-point relays, controlling the flooding of link state information and preparation of the routing table is depending upon the cooperation among the nodes in the network. However, open and decentralised network operations of WANETs introduce various security vulnerabilities to disrupt the routing process. To this end, this paper proposes a reputation-based trust model to enhance the cooperation among nodes in the routing process. The proposed trust model calculates the consolidate trust value (CTV) using direct and indirect observations. This CTV is used in the OLSR process to identify and isolate the misbehaving nodes from the routing path without having additional overhead. The simulation results show the effectiveness of the proposed method.