Selfish attack detection in mobile Ad hoc networks

Ghonge, Mangesh M.; Jawandhiya, Pradip M.; Thakare, V. M.

doi:10.1109/iciiecs.2017.8276136

Cited by 6 publications

(4 citation statements)

References 16 publications

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“…If a selfish node needs to send data to another node, it will start to work as a standard AODV process. The node returns to its silent mode and selfish behavior after it finishes sending its data [13,14].…”

Section: Selfishness Attackmentioning

confidence: 99%

The Impact of selfishness Attack on Mobile Ad Hoc Network

Abdelhaq¹,

Alsaqour²,

Albrahim³

et al. 2022

Int. j. commun. netw. inf. secur.

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Mobile Ad-Hoc Network (MANET) is an infrastructure-less network that has the ability to configure itself without any centralized management. The topology of MANET changes dynamically which makes it open for new nodes to join it easily. The openness area of MANET makes it very vulnerable to different types of attacks. One of the most dangerous attacks is selfishness attack. In this type of attack, each node tries to save its resources, behave selfishly or non-cooperatively by not forwarding packets that are generated by other nodes. Routing in MANET is susceptible to selfishness attack and this is a crucial issue which deserves to be studied and solved. Therefore, the main objective of this paper is to study the impact of selfishness attack on two routing protocols namely, Ad hoc On-Demand Distance Vector (AODV) and Destination Sequenced Distance Vector (DSDV), as a try to find the most resistant routing protocol to such attack. The contribution of this paper is a new Selfishness Attack Model (SAM) which applies selfishness attack on the two chosen routing protocols in the NS-2 simulator. According to the conducted simulation results, AODV shows higher performance than DSDV under the effect of selfishness attack.

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Section: Selfishness Attackmentioning

confidence: 99%

The Impact of selfishness Attack on Mobile Ad Hoc Network

Abdelhaq¹,

Alsaqour²,

Albrahim³

et al. 2022

Int. j. commun. netw. inf. secur.

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“…The central concept behind the suggested credit-based strategy for MANET is to reward mobile nodes for dependable network operations [76]. Virtual currency or a comparable electronic payment system is used to create incentives.…”

Section: Credit-basedmentioning

confidence: 99%

Exploring Manet Security Aspects: Analysis of Attacks and Node Misbehaviour Issues

Khan

Anwar²,

Rahman³

et al. 2022

MJCS

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Mobile ad hoc networks are susceptible to various security threats due to their open media nature and mobility, making them a top priority for security measures. This paper provides an in-depth examination of MANET security issues. Some of the most critical aspects of mobile ad hoc networks, including their applications, have been discussed. This is followed by a discussion of MANETs' design vulnerability to external and internal security threats caused by inherent network characteristics such as limited battery power, mobility, dynamic topology, open media, and so on. Numerous MANET-related attacks have been classified based on their sources, behaviour, participating nodes, processing capability, and layering. The many different types of misbehaviour a node can exhibit and the various ways a node can behave were investigated. Two major types of MANETs misbehaviour have been evaluated, classified and analysed. Notably, mitigating node misbehaviour in MANET is a critical issue that must be addressed to ensure network node functionality and availability. Strategies for detecting network nodes that misroute packets are also examined. Finally, the paper emphasises the need for effective solutions to secure MANETs.

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“…Passive nodes are also referred to as selfish nodes and active nodes are called cooperative nodes in works like [39]. While from a security standpoint, works like [23] refer to the scenario of having passive nodes as experiencing a selfish attack or a black hole attack.…”

Section: E = Kpmentioning

confidence: 99%

Survey on handling passive nodes in MANETs

Ilie

2021

AUCMCS

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This work handles the topic ad hoc networking between mobile devices and the specific problem of network nodes that choose not to forward messages. These nodes are called passive nodes. In our literature review of of Ad Hoc Mobile Wireless network protocols we identified three approaches: (i) incentives for active node, (ii) isolation of passive nodes. (iii) automatic active node detection. Our analysis of the existing approaches shows the best approach is categorized within the first category: the algorithmic mechanism design approach of applying a Vickery Clark Groves (VCG) mechanism to provide incentive to nodes to be active. This is a truthful mechanism which means that the most lucrative strategy for nodes is to always tell the truth about the required incentive in order to forward messages and always execute this action. The reason this happens is that the node will receive higher incentive than what they asked for when they are chosen to forward messages. In mobile ad-hoc networks the protocol needs to update routing tables therefore incentive requirements can be centralized with minimal impact on the performance of the protocol.

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Selfish attack detection in mobile Ad hoc networks

Cited by 6 publications

References 16 publications

The Impact of selfishness Attack on Mobile Ad Hoc Network

The Impact of selfishness Attack on Mobile Ad Hoc Network

Exploring Manet Security Aspects: Analysis of Attacks and Node Misbehaviour Issues

Survey on handling passive nodes in MANETs

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