A Fast Model for Evaluating the Detection of Selfish Nodes Using a Collaborative Approach in MANETs

Hernández-Orallo, Enrique; Olmos, Manuel David Serrat; Cano, Juan-Carlos; Calafate, Carlos T.; Manzoni, Pietro

doi:10.1007/s11277-013-1346-y

Cited by 31 publications

(10 citation statements)

References 18 publications

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“…Initially, a colloborative scheme for selfish node detection was proposed for spreading the awareness of maliciousness in the entire network for preventing its influence towards the other cooperating nodes of the network [9]. This collaborative selfishness detection detection utilized an analytical approach for evaluating the detection time and incurred overhead of the network.…”

Section: Related Workmentioning

confidence: 99%

An Improved Integrated Energy and Trust-based Routing Mechanism for MANETs

Vijayagopal*,

Prabu

2019

IJRTE

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The degree of packet dissemination among the mobile nodes of the network depends on the reliability of each individual mobile node attributed towards the benefits of the other interacting nodes in forwarding activity. However, the selfish intent of selfish nodes in the network reduces the performance in terms of packet forwarding rate. Thus, the influence of selfish intent in the network need to be minimized to the maximum level by introducing a predominant isolation process. In this paper, a Gwet Kappa Reliability Factor-based Selfish Node Detection Technique (GKRF-SNDT) scheme is proposed for superior detection of selfish nodes in the network. This proposed GKRF-SNDT scheme inherently derives the advantages of Gwet Kappa Reliability Factor for quantifying the degree of trust possessed by each mobile nodes interacting in the network. The experimental investigations of the proposed GKRF-SNDT scheme confirmed a superior throughput rate of 18% with reduced energy consumptions of 21% compared to the existing selfish intent isolation approaches

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Section: Related Workmentioning

confidence: 99%

An Improved Integrated Energy and Trust-based Routing Mechanism for MANETs

Vijayagopal*,

Prabu

2019

IJRTE

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“…These techniques lead to high security overhead as they requires complex calculations at both ends that takes a lot of processing time and energy. Collaborative Watchdog [4] is also used for precisely detecting Blackhole attack and disseminates this information to other nodes in the network. This mechanism is based on the co-operation of various nodes in the network that shares the information about their neighbouring node and helps in disseminating information about malicious nodes.…”

Section: Related Workmentioning

confidence: 99%

Avoidance and Mitigation of All Packet Drop Attacks in MANET using Enhanced AODV with Cryptography

Khanna¹

2016

IJCNIS

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MANET is a decentralized network that has no infrastructure and nodes can communicate with each other by multi-hoping the messages. Due to this nature of MANET, it is prone to many security attacks in which packet drop attacks are very common. Various packet drop attacks like Blackhole attacks, Grayhole attack, Cooperative Blackhole attack, etc are the attacks that become a bottleneck in efficient routing and security in MANET. Various mechanisms are devised in past but none of them prove to be effective against all types of packet drop attacks. In this paper, a mechanism is formulated that enhances the AODV routing protocol with Trueness Level and Cryptography for effectively counter all types of packet drop attacks by mitigating them through avoidance and elimination of source of attack after detection. This mechanism is powered by efficient use of Cryptography in its natural form. This work is compared with published work Extended Data Routing Information mechanism against various parameters like Packet Delivery Ratio, Normalized Control Load, Accuracy and Reliability in the same environment and parameters in MATLAB 2013a.

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“…The proposals in Ref. 5,6 are based on a collaborative contact-based approach for selfish nodes detection in MANETs. A watchdog is defined to perform monitoring operations, which consist in overhearing the transmitted packets in order to detect malicious or selfish nodes.…”

Section: Related Workmentioning

confidence: 99%

Probabilistic monitoring in intrusion detection module for energy efficiency in mobile ad hoc networks

Rango

Lupia

2016

SPIE Proceedings

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MANETs allow mobile nodes communicating to each other using the wireless medium. A key aspect of these kind of networks is the security, because their setup is done without an infrastructure, so external nodes could interfere in the communication. Mobile nodes could be compromised, misbehaving during the multi-hop transmission of data, or they could have a selfish behavior to save energy, which is another important constraint in MANETs. The detection of these behaviors need a framework that takes into account the latest interactions among nodes, so malicious or selfish nodes could be detected also if their behavior is changed over time. The monitoring activity increases the energy consumption, so our proposal takes into account this issue reducing the energy required by the monitoring system, keeping the effectiveness of the intrusion detection system. The results show an improvement in the saved energy, improving the detection performance too.

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A Fast Model for Evaluating the Detection of Selfish Nodes Using a Collaborative Approach in MANETs

Cited by 31 publications

References 18 publications

An Improved Integrated Energy and Trust-based Routing Mechanism for MANETs

An Improved Integrated Energy and Trust-based Routing Mechanism for MANETs

Avoidance and Mitigation of All Packet Drop Attacks in MANET using Enhanced AODV with Cryptography

Probabilistic monitoring in intrusion detection module for energy efficiency in mobile ad hoc networks

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