Intrusion Detection Techniques for Detecting Misbehaving Nodes

Pakzad, Farzaneh; Rafsanjani, Marjan Kuchaki

doi:10.5539/cis.v4n1p151

“…A token-based umpiring technique is introduced in [17] to detect and isolate the selfish nodes. An intrusion detetcion system is proposed in [18] to prevent and recognize the selfish nodes.…”

Section: Related Workmentioning

confidence: 99%

Detection and Isolation of Selfish Nodes in MANET Using Collaborative Contact-Based Watchdog with Chimp-AODV

Sherif

¹

,

Salini

²

2022

Wireless Pers Commun

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Mobile Ad-hoc Network (MANET) is one of the most important self-configuring and independent wireless network. Numerous intermediate nodes are used among MANET to interchange the information without the requirement of any centralized infrastructure. But some nodes act selfishly and utilize the resources only for their own purposes and do not share with the neighbors. This selfish nodes might delay or drop the packet and do not perform routing. Though watchdog is a well-known selfish node detection technique, it causes false negatives and false positives that can affect the performance in terms of precision and speed. To eliminate the drawbacks of existing approaches in selfish node detection, this paper integrates both Ad-hoc On-Demand Distance Vector (AODV) protocol incorporated with chimp optimization algorithm and Collaborative Contact based Watchdog to propose a novel technique called Chimp-CoCoWa-AODV in order to improve the performance of MANET. The main role of chimp optimization algorithm in AODV is to undergo optimal route selection process. The performance of the proposed Chimp-CoCoWa-AODV approach is compared with existing approaches in terms of average routing load, Average Packet Delivery Fraction (PDF), Average End-to-end Delay (EED), Average Throughput, Total packet drop in the application layer, and maliciously dropped packet in the routing layer. The simulation results shows that the proposed approach is effective with 82% PDF and 7.4 ms EED at 50 nodes in detection and isolation of selfish nodes in MANET even in the presence of malicious node.

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“…A token-based umpiring technique is introduced in [17] to detect and isolate the selfish nodes. An intrusion detetcion system is proposed in [18] to prevent and recognize the selfish nodes.…”

Section: Related Workmentioning

confidence: 99%

“…Here 1 and 1 are the coordinate of the source node and 2 and 2 are the coordinate of the destination node. The availability of bandwidth can be calculated based on the consumed bandwidth and total bandwidth as given in Equation (18).…”

Section: Chimp-aodvmentioning

confidence: 99%

Detection and Isolation of Selfish Nodes in MANET Using Collaborative Contact-Based Watchdog With Chimp-AODV

Sherif¹,

Salini²

2021

Preprint

1

0

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Mobile Ad-hoc Network (MANET) is one of the most important self-configuring and independent wireless network. Numerous intermediate nodes are used among MANET to interchange the information without the requirement of any centralized infrastructure. But some nodes act selfishly and utilize the resources only for their own purposes and do not share with the neighbors. This selfish nodes might delay or drop the packet and do not perform routing. Though watchdog is a well-known selfish node detection technique, it causes false negatives and false positives that can affect the performance in terms of precision and speed. To eliminate the drawbacks of existing approaches in selfish node detection, this paper integrates both Ad-hoc On-Demand Distance Vector (AODV) protocol incorporated with chimp optimization algorithm and Collaborative Contact based Watchdog to propose a novel technique called Chimp-CoCoWa-AODV in order to improve the performance of MANET. The main role of chimp optimization algorithm in AODV is to undergo optimal route selection process. The performance of the proposed Chimp-CoCoWa-AODV approach is compared with existing approaches in terms of average routing load, Average Packet Delivery Fraction (PDF), Average End-to-end Delay (EED), Average Throughput, Total packet drop in the application layer, and maliciously dropped packet in the routing layer. The simulation results shows that the proposed approach is effective with 82% PDF and 7.4 ms EED at 50 nodes in detection and isolation of selfish nodes in MANET even in the presence of malicious node.

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“…The path metric can be calculated based on node rating and link reliability. It is an extension to DSR (Pakzad and Rafsanjani, 2011).…”

Section: Secure Routing Protocolsmentioning

confidence: 99%

“…It checks whether the neighbour is correctly forwarding the data or not. If the neighbouring node is found to drop the data, then that node is considered as malicious (Pakzad and Rafsanjani, 2011).…”

Section: Secure Routing Protocolsmentioning

confidence: 99%

A relationship-based approach for energy aware secure routing in MANETs

Rathnamma

¹

,

Reddy

²

2016

IJSGGC

1

0

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Secure routing is one of the major issues which is affecting the widespread use of MANETs. To address this issue several methodologies have been proposed and some of them were able to achieve a considerable amount of success but with a considerable amount of computational overhead. In this paper, we propose a new secure routing mechanism for MANETS. This mechanism uses trust-based method to establish secure routes. It is a family relationship-based approach in which security is established by considering certain parameters which can be used to determine the ingenuity of the nodes. It also considers the parameters like energy consumption and signal strength of the node. The proposed method does not use any protocol specific parameter and thus can be used over any on demand routing protocol like AODV or DSR. As components of MANETs have several resource constraints, this paper aims at providing an improved AODV protocol called secure family-based routing protocol (SFRP) with reduced resource consumption and security enabled.Keywords: mobile ad hoc network; MANETs; family relationship-based approach; trust, secure routing.Reference to this paper should be made as follows: Rathnamma, M.V. and Reddy, P.C. (2016) 'A relationship-based approach for energy aware secure routing in MANETs', Int.

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Intrusion Detection Techniques for Detecting Misbehaving Nodes

Cited by 3 publications

References 16 publications

Detection and Isolation of Selfish Nodes in MANET Using Collaborative Contact-Based Watchdog with Chimp-AODV

Detection and Isolation of Selfish Nodes in MANET Using Collaborative Contact-Based Watchdog with Chimp-AODV

Detection and Isolation of Selfish Nodes in MANET Using Collaborative Contact-Based Watchdog With Chimp-AODV

A relationship-based approach for energy aware secure routing in MANETs

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