A Survey of Trust Based Routing Protocols in MANETs

Kukreja, Deepika; Singh, Umang; Reddy, Bale V.

doi:10.7763/jacn.2013.v1.56

Cited by 5 publications

(5 citation statements)

References 26 publications

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“…LT is made by measuring the signal strength between two nodes and the error ratio compared to packet transmission for a certain period of time. In order to obtain the local trust information of node N, Received Signal Strength (RSS) in the neighboring nodes of node N is measured using equation (1).…”

Section: Member Node Trust Measurement Techniquementioning

confidence: 99%

“…The three parameter values measured in this way are compared with the average values in the cluster measured by the CA and then the flag values for normal (1), suspicious (0), and attack (-1) is set. In node classifier, even if at least one of the three parameters has an attack (-1) flag, the node is classified as an attack node, and if there are two or more suspicions (0), it is classified as a boundary node.…”

Section: 𝐶 𝑘 (𝐴𝑣𝑔(𝑃mentioning

confidence: 99%

“…And it is easily exposed to many security threats due to the dynamic environment by the movement of nodes and the characteristics of the wireless environment. Many security routing techniques have been studied to prevent such routing attacks [1,2,3]. These studies are largely divided into a technique for collecting network-wide information, an authentication technique for nodes participating in the network, and a geographical routing technique.…”

Section: Introductionmentioning

confidence: 99%

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A Study on Performance Improvement of Intrusion Detection using Efficient Authentication and Distributed Monitoring

Yang¹

2022

IJCNIS

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In a Mobile Ad hoc Network (MANET), mobile nodes play multiple roles as hosts and routers and are dynamically changing multi-hop structures. MANET consists only of wireless nodes with limit processing power, and routing and data transfer are performed through cooperation with each other. It is exposed to many attack threats due to the dynamic topology by the movement of the nodes and the characteristic of multi-hop communication. Therefore, in MANET, a technique that can detect effectively must be applied while detecting malicious nodes and reducing the impact of various attacks. In this paper, we propose an trust based authentication technique for nodes and a distributed monitoring technique to improve the detection performance of malicious nodes. The hierarchical cluster structure was used to improve authentication of nodes and detection performance and management efficiency of malicious nodes. A lightweight authentication technique of member nodes in the cluster was applied and the efficiency of node authentication was improved. It was used to determine whether it was an attack node by transmitting traffic monitoring information for neighbor nodes to CA and using. In addition, the efficient authentication technique using only key exchange without anyone's help was applied in order to provide integrity when exchanging information between cluster heads. Through this, it was possible to be free from trust information about nodes and forgery and falsification of information about attack nodes. The superiority of the technique proposed in this paper was confirmed through comparative experiments with the existing intrusion detection technique.

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Section: Member Node Trust Measurement Techniquementioning

confidence: 99%

Section: 𝐶 𝑘 (𝐴𝑣𝑔(𝑃mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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A Study on Performance Improvement of Intrusion Detection using Efficient Authentication and Distributed Monitoring

Yang¹

2022

IJCNIS

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“…is has a disadvantage that route path discovery is delayed a lot because this does not allow intermediate nodes on the path to transmit RREP packets. e trust-embedded AODV (T-AODV) technique is an extension of the trust-based AODV technique in which the reliability is calculated by distributing and updated [39]. is is performed only when malicious nodes send erroneous information.…”

Section: Trust-based Routing Protocolmentioning

confidence: 99%

“…is technique assumes that all nodes have the same frequency range. It is proposed that intermedia node plays a role as a trust gateway maintaining the trust level in order to avoid malicious nodes in [39]. Each node monitors its neighbor and maintains its reliability directly.…”

Section: Trust-based Routing Protocolmentioning

confidence: 99%

A Study on Improving Secure Routing Performance Using Trust Model in MANET

Yang

2020

Mobile Information Systems

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MANET is utilized in many fields because of its advantage in quickly establishing networks. The network will perform well if mobile nodes trust each other and act cooperatively. However, dynamic topology characteristics and frequent connection failures by the movement of nodes make routing difficult and cause vulnerability to be easily exposed. Therefore, the routing provided in the MANET should have security features that can reduce the damage to various attacks. For this, in this paper, it is proposed for a trust evaluation method of nodes using cluster structure and a secure data transmission technique through key exchange without CA. The proposed technique adopted a hierarchical structure to enhance the efficiency of the reliability evaluation of nodes. The reliability measurement reflects the quality of packets as well as the number of packets and the measured reliability is maintained by the trust management node. The integrity of the data transmission is improved through key exchange without CA between the nodes. In order to increase the efficiency of routing, anomaly nodes are detected by DSN checking of nodes that generate excessive traffic on the path when data is transmitted. The proposed technique in this paper can maintain stably the network performance even in the presence of malicious nodes because it ensures reliability evaluation for nodes and the path setting between nodes and secure data transmission. The superior performance of the proposed trust-based model security routing technique was confirmed through comparative experiments for packet delivery ratio, end-to-end delay time, the number of control packets, network throughput, and average path length.

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