WORMEROS: A New Framework for Defending against Wormhole Attacks on Wireless Ad Hoc Networks

Vu, Hai; Kulkarni, Ajay; Sarac, Kamil; Mittal, Neeraj

doi:10.1007/978-3-540-88582-5_46

Cited by 16 publications

(15 citation statements)

References 7 publications

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“…In wormhole attack detection mechanism TTM [10], WORMEROS [11], the fact that the transmission time between two wormhole nodes is much longer than that between two legitimate neighbours which are close together is considered. But, detection based solely on transmission time, can lead to high false positive rate.…”

Section: Time Of Flight Based Approachmentioning

confidence: 99%

MLDW- A MultiLayered Detection mechanism for Wormhole attack in AODV based MANET

Devaraj¹

2013

IJSPTM

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Wormhole attack is one of the serious routing attacks amongst all the network layer attacks launched on MANET. Wormhole attack is launched by creation of tunnels and it leads to total disruption of the routing paths on MANET. In this paper, MLDW-a multilayered Intrusion Detection Prevention System approach is proposed to detect and isolate wormhole attack on MANET. The routing protocol used is Adhoc On Demand Distance Vector (AODV). MLDW has a layered framework consisting of link latency estimator, intermediate neighbor node discovery mechanism, packet drop calculator, node energy degrade estimator followed by isolation technique. MLDW effectiveness is evaluated using ns2 network simulator.

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Section: Time Of Flight Based Approachmentioning

confidence: 99%

MLDW- A MultiLayered Detection mechanism for Wormhole attack in AODV based MANET

Devaraj¹

2013

IJSPTM

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“…Hai vu et al [14] also proposed to detect the presence of wormhole using two phases like in [3] and [5]. The first phase consists of two methods.…”

Section: Detection and Avoidance Of Wormholementioning

confidence: 99%

A comprehensive review on wormhole attacks in MANET

Maulik

Chaki

2010

2010 International Conference on Computer Information Systems and Industrial Management Applications (CISIM)

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AsMANETs use wireless medium for communication, these are vulnerable to many security attacks. In this paper a comprehensive review is done on the very recent state of the art research results on wormhole attacks and relevant mitigation measures. 100% of the works reviewed here are published in last five years, out of which 80% are published in last three years. The simulation results in NS2 helps to quantify the comparative performances of the different solutions proposed.

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“…However, most of the techniques have their own limitations like requirements of synchronized clock [2], positioning device, or directional antenna [3], which increase the hardware cost of the system. Some existing solutions use neighbour mismatch method [1], Round Trip Time (RTT) calculation with message encryption using hash function [4], and topological comparison using new packet type [5]. But these solutions have certain limitations like wormholes remaining undetected in sparse network, increased message overhead, and so forth.…”

Section: Introductionmentioning

confidence: 99%

“…(iv) Our proposed method has been compared with the state-of-the-art TRM method [1], WORMEROS [4], and MDS-based local connectivity [7]. Our method can detect all wormhole nodes with fewer false positives.…”

Section: Introductionmentioning

confidence: 99%

Wormhole Detection Based on Ordinal MDS Using RTT in Wireless Sensor Network

Mukherjee

Chattopadhyay

et al. 2016

Journal of Computer Networks and Communications

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In wireless communication, wormhole attack is a crucial threat that deteriorates the normal functionality of the network. Invasion of wormholes destroys the network topology completely. However, most of the existing solutions require special hardware or synchronized clock or long processing time to defend against long path wormhole attacks. In this work, we propose a wormhole detection method using range-based topology comparison that exploits the local neighbourhood subgraph. The Round Trip Time (RTT) for each node pair is gathered to generate neighbour information. Then, the network is reconstructed by ordinal Multidimensional Scaling (MDS) followed by a suspicion phase that enlists the suspected wormholes based on the spatial reconstruction. Iterative computation of MDS helps to visualize the topology changes and can localize the potential wormholes. Finally, a verification phase is used to remove falsely accused nodes and identify real adversaries. The novelty of our algorithm is that it can detect both short path and long path wormhole links. Extensive simulations are executed to demonstrate the efficacy of our approach compared to existing ones.

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WORMEROS: A New Framework for Defending against Wormhole Attacks on Wireless Ad Hoc Networks

Cited by 16 publications

References 7 publications

MLDW- A MultiLayered Detection mechanism for Wormhole attack in AODV based MANET

MLDW- A MultiLayered Detection mechanism for Wormhole attack in AODV based MANET

A comprehensive review on wormhole attacks in MANET

Wormhole Detection Based on Ordinal MDS Using RTT in Wireless Sensor Network

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