Misbehavior nodes detection and isolation for MANETs OLSR protocol

Abdalla, Ahmed M.; Saroit, Imane Aly; Kotb, Amira; Afsari, Ali Hassan

doi:10.1016/j.procs.2010.12.020

Cited by 25 publications

(11 citation statements)

References 18 publications

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“…They have utilised message authentication, time stamping, hash algorithm, global positioning system data, and signature algorithm to prevent the attacks that arise from node misbehaviour. Abdalla et al (2011) proposed an intrusion detection system (IDS) to guard OLSR process. This method collects and analyses the adversary activities by verifying path validation messages along with the path between the source and the destination.…”

Section: Cryptography Methods For Securing Olsr Protocolmentioning

confidence: 99%

Trust aware cooperative optimised link state routing protocol

Potukuchi

Kant

2017

IJSCC

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Abstract:Optimised link state routing (OLSR) protocol is a popular proactive routing protocol for wireless ad-hoc networks (WANETs). The functionality of OLSR protocol such as selection of multi-point relays, controlling the flooding of link state information and preparation of the routing table is depending upon the cooperation among the nodes in the network. However, open and decentralised network operations of WANETs introduce various security vulnerabilities to disrupt the routing process. To this end, this paper proposes a reputation-based trust model to enhance the cooperation among nodes in the routing process. The proposed trust model calculates the consolidate trust value (CTV) using direct and indirect observations. This CTV is used in the OLSR process to identify and isolate the misbehaving nodes from the routing path without having additional overhead. The simulation results show the effectiveness of the proposed method.

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Section: Cryptography Methods For Securing Olsr Protocolmentioning

confidence: 99%

Trust aware cooperative optimised link state routing protocol

Potukuchi

Kant

2017

IJSCC

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“…An IDS (Intrusion detection system) uses three models: signature-based, anomaly-based and specification based [7]. For MANETs specification based IDS is used rest two are designed for wired network.…”

Section: Intrusion Detection Systemsmentioning

confidence: 99%

Detection of Packet Dropping Nodes in MANET using DSR Routing Protocol

Chauhan¹,

Gupta²,

Sah³

2015

IJCA

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Wireless network is a growing technology that facilitates users for sharing of information instantly through wireless electronic devices irrespective of their locations. It can be infrastructure based or infrastructure less (ad hoc networks). An ad hoc network gains more attention because of its convenience, mobility, scalability, cost and easy setup. It is best suitable for applications, where predefined infrastructure is not possible. But ad hoc network is vulnerable to various attacks due to its functionality and deployment scenario. It is a decentralized networks therefore all the routing activities are handled by nodes. Nodes may behave badly in the network and can drop the packets instead of forwarding them. The aim of this research work is to detect these packet dropping nodes in MANET and prevents these packet droppers to be chosen as an active element of the path used for packet forwarding in DSR (Dynamic Source Routing) protocol. For this, we have implemented a trust and cluster based monitoring technique and simulated this environment using network simulator NS2.

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“…This is accomplished by flooding the network with Attacker Isolation Messages (AIMs) [2]. It is noticed that nodes can be incorrectly detected as attackers due to network malfunction during a certain period.…”

Section: Pvm Algorithmmentioning

confidence: 99%

“…This new mechanism DIPDAM is based on three ID messages Path Validation Message (PVM) enables E2E feedback loop between the source and the destination, Attacker Finder Message (AFM) to detect attacker node through the routing path, and Attacker Isolation Message (AIM) to isolate the attacker from routing path and update the black list for each node then trigger to neighbors with updated information [1][2].…”

Section: Introductionmentioning

confidence: 99%