A survey oj various approaches to detect selfishness in wireless ad-hoc networks

Shah, Sachi N.; Jhaveri, Rutvij H.

doi:10.1109/icgciot.2015.7380540

Cited by 2 publications

(2 citation statements)

References 19 publications

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“…This approach does not punish misbehaving nodes that do not cooperate, and also relieves them of the forwarding packets burden for other nodes. (Shah and Jhaveri, 2015).…”

Section: Related Workmentioning

confidence: 99%

A fuzzy trust-based routing model for mitigating the misbehaving nodes in mobile ad hoc networks

Beghriche

Bilami

2018

IJICC

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Purpose Security is one of the major challenges in the design and implementation of protocols for mobile ad hoc networks (MANETs). In such systems, the cooperation between nodes is one of the important principles being followed in the current research works to formulate various security protocols. Many existing works assume that mobile nodes will follow prescribed protocols without deviation. However, this is not always the case, because these networks are subjected to a variety of malicious attacks. Since there are various models of attack, trust routing scheme can guarantee security and trust of the network. The purpose of this paper is to propose a novel trusted routing model for mitigating attacks in MANETs. Design/methodology/approach The proposed model incorporates the concept of trust into the MANETs and applies grey relational analysis theory combined with fuzzy sets to calculate a node’s trust level based on observations from neighbour nodes’ trust level, these trust levels are then used in the routing decision-making process. Findings In order to prove the applicability of the proposed solution, extensive experiments were conducted to evaluate the efficiency of the proposed model, aiming at improving the network interaction quality, malicious node mitigation and enhancements of the system’s security. Originality/value The proposed solution in this paper is a new approach combining the fundamental basics of fuzzy sets with the grey theory, where establishment of trust relationships among participating nodes is critical in order to enable collaborative optimisation of system metrics. Experimental results indicate that the proposed method is useful for reducing the effects of malicious nodes and for the enhancements of system’s security.

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“…This approach does not punish misbehaving nodes that do not cooperate, and also relieves them of the forwarding packets burden for other nodes. (Shah and Jhaveri, 2015).…”

Section: Related Workmentioning

confidence: 99%

A fuzzy trust-based routing model for mitigating the misbehaving nodes in mobile ad hoc networks

Beghriche

Bilami

2018

IJICC

View full text Add to dashboard Cite

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“…Selfish nodes prefer to be entertained by other nodes but in return do not like to consume their resource for others. e study in [16] defines two categories of selfish nodes: e first class of nodes participates in the routing by receiving and acknowledging the reception of packets. However, these nodes drop the received packets and do not forward any data or control packets generated by a source node.…”

Section: Introductionmentioning

confidence: 99%

A Survey on the Noncooperative Environment in Smart Nodes-Based Ad Hoc Networks: Motivations and Solutions

Khan

Nasralla

Umar

et al. 2021

Security and Communication Networks

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In ad hoc networks, the communication is usually made through multiple hops by establishing an environment of cooperation and coordination among self-operated nodes. Such nodes typically operate with a set of finite and scarce energy, processing, bandwidth, and storage resources. Due to the cooperative environment in such networks, nodes may consume additional resources by giving relaying services to other nodes. This aspect in such networks coined the situation of noncooperative behavior by some or all the nodes. Moreover, nodes sometimes do not cooperate with others due to their social likeness or their mobility. Noncooperative or selfish nodes can last for a longer time by preserving their resources for their own operations. However, such nodes can degrade the network's overall performance in terms of lower data gathering and information exchange rates, unbalanced work distribution, and higher end-to-end delays. This work surveys the main roots for motivating nodes to adapt selfish behavior and the solutions for handling such nodes. Different schemes are introduced to handle selfish nodes in wireless ad hoc networks. Various types of routing techniques have been introduced to target different types of ad hoc networks having support for keeping misbehaving or selfish nodes. The major solutions for such scenarios can be trust-, punishment-, and stimulation-based mechanisms. Some key protocols are simulated and analyzed for getting their performance metrics to compare their effectiveness.

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A survey oj various approaches to detect selfishness in wireless ad-hoc networks

Cited by 2 publications

References 19 publications

A fuzzy trust-based routing model for mitigating the misbehaving nodes in mobile ad hoc networks

A fuzzy trust-based routing model for mitigating the misbehaving nodes in mobile ad hoc networks

A Survey on the Noncooperative Environment in Smart Nodes-Based Ad Hoc Networks: Motivations and Solutions

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