Collusion attack resistance through forced MPR switching in OLSR

Suresh, P.; Kaur, Rajbir; Gaur, Manoj Singh; Laxmi, Vijay

doi:10.1109/wd.2010.5657700

Cited by 11 publications

(6 citation statements)

References 2 publications

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“…In the suggested technique [9], when the node detects a symptom of collusion attack, it adds the lone MPR to an AvoidanceSet after waiting for AvoidanceDelay. All entries in the AvoidanceSet of X are not included in its MPRs computation process.…”

Section: B Multi-point Relays Selectionmentioning

confidence: 99%

Discovering a Secure Path in MANET by Avoiding Black Hole Attack

Zougagh¹,

Toumanari²,

Latif³

et al. 2014

ijacsa

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Abstract-In a mobile ad hoc network (MANET), a source node must rely on intermediate nodes to forward its packets along multihop routes to the destination node. Due to the lack of infrastructure in such networks, secure and reliable packet delivery is challenging. The performance of a Mobile Ad hoc Network (MANET) is closely related to the capability of the implemented routing protocol to adapt itself to unpredictable changes of topology network and link status. One of this routing protocol is OLSR [1] (Optimized Link State Routing Protocol) which assumes that all nodes are trusted. However, in hostile environnement, the OLSR is known to be vulnerable to various kinds of malicious attacks. This paper proposes a cooperative black hole attack against MANETs exploiting vulnerabilities of OLSR. In this attack, two attacking nodes cooperate in order to disrupt the topology discovery and prevent routes to a target node from being established in the network.

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Section: B Multi-point Relays Selectionmentioning

confidence: 99%

Discovering a Secure Path in MANET by Avoiding Black Hole Attack

Zougagh¹,

Toumanari²,

Latif³

et al. 2014

ijacsa

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“…The main drawback of this solution is that false alarms may be triggered when links between nodes break if the nodes are highly mobile. In [10], the authors use the FMS-OLSR (Forced MPR Switching OLSR) algorithm to detect this type of attack. When node "X" generates a HELLO message, it checks the number of nodes in its MPR set.…”

Section: Related Workmentioning

confidence: 99%

Detecting attacks in QoS-OLSR protocol

Sanadiki

Otrok

Mourad

et al. 2013

2013 9th International Wireless Communications and Mobile Computing Conference (IWCMC)

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In this paper, we detect two attacks targeting the QoS-OLSR protocol MANET. The Cluster-based model QoS-OLSR is a multimedia protocol designed on top of Optimized Link State Routing (OLSR) protocol. The quality of service (QoS) of the nodes is considered during the selection of the multipoint relays (MPRs) nodes. In this work, we identify two attacks that can be launched against the QoS-OLSR protocol: Identity spoofing attack, and wormhole attack. Watchdogs are used to detect the attacks performed by malicious nodes. As a solution, we propose to improve the watchdogs' detection by (1) using cooperative watchdog model and (2) adding the posterior belief function using Bayes' rule to the watchdog model. Simulation results show that the use of the Bayes' rule function along with the cooperative watchdog model improves the detection rate and reduces the false positives.

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“…Node isolation attack and a method of its prevention has been introduced in [8]. Malicious nodes collusion attack and a countermeasure against that has been studied in [9] and [10]. In [11], [12], and [13] a definition of different attacks against MANETs and a description of their operation has been explained.…”

Section: Related Workmentioning

confidence: 99%

“…In collusion attack, some of the malicious nodes collude with each other and manipulate routing information of one or a number of other nodes such that those nodes will not be accessible in the network anymore [9], [10].…”

Section: Collusion Attackmentioning

confidence: 99%

Injection and Evaluation of New Attacks on Ad hoc Proactive Routing Algorithms

Salehi¹,

Samavati²

2013

IJISR

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Providing security of communications in Mobile Ad hoc Networks (MANETs) is one of the most significant fields for researchers. In order to provide security, the first step is to recognize vulnerabilities and examine different implementable attacks regarding such networks. Secure routing is one of the most important security blind spots regarding MANETs. Security of routing in MANETs can be endangered by uncooperative behavior of nodes. Uncooperative behavior can be done selfishly by refraining from participation in routing or maliciously in the form of an attack against network. One of the most famous and devastating routing attacks regarding MANETs is Black hole. In Optimized Link State Routing (OLSR), as one of the most well-known proactive routing algorithms, Black hole attack can be implemented in different methods. In this paper, effects of different selfish behaviors and different implementations of Black hole on OLSR based MANETs is studied. In order to evaluate network parameters, network simulator (NS-2) tool has been used. Simulation results demonstrate that a special implementation of Black hole, compared to other implementations and selfish nodes, has had more destroying effects on the network. Furthermore, such an attack results in a reduction in routing overhead and delay in transmitting packets compared to basic OLSR.

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Collusion attack resistance through forced MPR switching in OLSR

Cited by 11 publications

References 2 publications

Discovering a Secure Path in MANET by Avoiding Black Hole Attack

Discovering a Secure Path in MANET by Avoiding Black Hole Attack

Detecting attacks in QoS-OLSR protocol

Injection and Evaluation of New Attacks on Ad hoc Proactive Routing Algorithms

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