Identity attack detection system for 802.11-based ad hoc networks

Faisal, Mohammad; Abbas, Sohail; Rahman, Haseeb Ur

doi:10.1186/s13638-018-1143-0

Cited by 37 publications

(25 citation statements)

References 34 publications

(49 reference statements)

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“…Whereas, the resource testingbased solutions are usually based on an assumption related to restrictive hardware, such as network interface card, memory, and computation power; but hardware resources are cheap to buy now-a-days and attackers can exploit extra hardware to counteract the detection system. Finally, the localization-based solutions are more promising than the other two [31]. They use location-based information, such as signal strength, and sometimes use extra hardware, such as GPS and directional antennae to detect Sybil attacks.…”

Section: Related Workmentioning

confidence: 99%

Thwarting Sybil Attackers in Reputation-based Scheme in Mobile Ad hoc Networks

Abbas¹,

Merabti²,

Kifayat³

et al. 2019

KSII TIIS

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Routing in mobile ad hoc networks is performed in a distributed fashion where each node acts as host and router, such that it forwards incoming packets for others without relying on a dedicated router. Nodes are mostly resource constraint and the users are usually inclined to conserve their resources and exhibit selfish behaviour by not contributing in the routing process. The trust and reputation models have been proposed to motivate selfish nodes for cooperation in the packet forwarding process. Nodes having bad trust or reputation are detected and secluded from the network, eventually. However, due to the lack of proper identity management and use of non-persistent identities in ad hoc networks, malicious nodes can pose various threats to these methods. For example, a malicious node can discard the bad reputed identity and enter into the system with another identity afresh, called whitewashing. Similarly, a malicious node may create more than one identity, called Sybil attack, for self-promotion, defame other nodes, and broadcast fake recommendations in the network. These identity-based attacks disrupt the overall detection of the reputation systems. In this paper, we propose a reputation-based scheme that detects selfish nodes and deters identity attacks. We address the issue in such a way that, for normal selfish nodes, it will become no longer advantageous to carry out a whitewash. Sybil attackers are also discouraged (i.e., on a single battery, they may create fewer identities). We design and analyse our rationale via game theory and evaluate our proposed reputation system using NS-2 simulator. The results obtained from the simulation demonstrate that our proposed

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Section: Related Workmentioning

confidence: 99%

Thwarting Sybil Attackers in Reputation-based Scheme in Mobile Ad hoc Networks

Abbas¹,

Merabti²,

Kifayat³

et al. 2019

KSII TIIS

View full text Add to dashboard Cite

show abstract

“…For detecting replica attack in 802.11-based ad hoc networks, Faisal et al 5 proposed a hybrid approach of local and global detection. In local scheme, the received signal strength information (RSSI) is used to calculate distance between nodes to detect replicas from different locations based on the principle of each location being bound with a unique identity.…”

Section: Related Workmentioning

confidence: 99%

“…Not only the generation of replicas itself poses an aggressive behavior, but also the replicas can enable other vicious attacks ranging from data injection to routing loop creation. 5 In VANETs, data are also transmitted through an open and shared communication media, the same as in WSNs. In addition, vehicular nodes are widely distributed and the network topology is rapidly changing, 6,7 so that it is difficult to manage all identities in a centralized way.…”

Section: Introductionmentioning

confidence: 99%

Replica attack detection method for vehicular ad hoc networks with sequential trajectory segment

Xin

Xia

2019

International Journal of Distributed Sensor Networks

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In vehicular ad hoc networks, attackers can disguise as replicas of legitimate vehicles by cracking or colluding and then use the identity replicas in a malicious way. Not only the generation of replicas itself poses an aggressive behavior, but also the replicas can enable other insider attacks, such as denial of service, information interception, and replay attack. To solve this issue, researchers have presented many solutions in wireless sensor network or in mobile ad hoc networks. However, majority of current schemes are not good at dealing with conspiracy replicas or lack of considering peculiar characteristics of high mobility of vehicles. For detecting identity replicas in vehicular ad hoc networks, we propose a detection method with sequential trajectory segment based on semi-supervised support vector machine. In terms of semi-supervised support vector machine, we establish a detection model using spatio-temporal trajectories of different identities as input samples, which include features of both conspiracy and non-conspiracy attack scenarios. To validate our approach, we apply sequential trajectory segment to simulation environment. The performance analysis and experimental studies suggest that our proposed method provides high detection accuracy, which is almost impervious to the replica identity ratios in vehicular ad hoc networks. Furthermore, the time performance of replica detection is less affected by the distance between compromised nodes and their clones than that of existing solutions.

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“…The work carried out by Sekaran and Parasuraman [14] have deployed a cryptographic scheme for performing secure routing considering the mobility aspect of the wireless adhoc network. Study towards detection of identity-based intrusion was carried out by Faisal et al, [15] where the focus was offered towards resisting Sybil attack as well as replication attack. Usage of genetic algorithm as well as detection using bait has been carried out using Nithya et al, [16] using simulation-based study.…”

Section: Introductionmentioning

confidence: 99%

Trust-based secure routing against lethal behavior of nodes in wireless adhoc network

Neeli¹,

Cauvery²

2020

IJECE

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Offering a secure communication in wireless adhoc network is yet an open-end problem irrespective of archives of existing literatures towards security enhancement. Inclination towards solving specific forms of attack in adhoc network is majorly seen as an existing trend which lowers the applicability of existing security solution while application environment or attack scenario is changed. Therefore, the proposed system implements an analytical secure routing modeling which performs consistent monitoring of the malicious behaviour of its neighboring node and formulates decision towards secure routing by the source nodes. Harnessing the potential ofconceptual probabilistic modeling, the proposed system is capable as well as applicable for resisting maximum number / types of threats in wireless network. The study outcome show proposed scheme offer better performance in contrast to existing secure routing scheme.

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Identity attack detection system for 802.11-based ad hoc networks

Cited by 37 publications

References 34 publications

Thwarting Sybil Attackers in Reputation-based Scheme in Mobile Ad hoc Networks

Thwarting Sybil Attackers in Reputation-based Scheme in Mobile Ad hoc Networks

Replica attack detection method for vehicular ad hoc networks with sequential trajectory segment

Trust-based secure routing against lethal behavior of nodes in wireless adhoc network

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