Detecting Sybil attacks in VANETs

Yu, Bo; Xu, Cheng‐Zhong; Xiao, Bin

doi:10.1016/j.jpdc.2013.02.001

Cited by 168 publications

(102 citation statements)

References 18 publications

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“…Yo [9] portrayed the Sybil assault, location and proposed the position check to identify Sybil assault. Claimers Estimated Position is utilized for relating signal quality circulation show and proposed two techniques into gathered estimation, which can at last acquired evaluated position of claimer.…”

Section: Related Workmentioning

confidence: 99%

Segregation of Sybil Attack using Neighbouring Information in VANET

Panchal¹,

Singh²

2017

International Advanced Research Journal in Science, Engineering

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Sybil attack bogus traffic scenario by sending fake message with multiple ID which often cause jam and accident in VANET. It is very hard to defend and establish when it is eject by devise attackers using their real ID. In this paper, we present Neighbor based information (NBH) in which trust value is to be calculated by their neighbor node which restrain to spread false message. NBH can detect Sybil attack with stolen ID. Simulation results show that proposed technique increases the detection and reduces the percentage of Sybil attack.

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Section: Related Workmentioning

confidence: 99%

Segregation of Sybil Attack using Neighbouring Information in VANET

Panchal¹,

Singh²

2017

International Advanced Research Journal in Science, Engineering

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“…If two messages have the same estimated position, we conclude that they are from the same node which is the Sybil attacker. Yu [14] estimated nodes positions using predetermined signal propagation model and RSSI to verify the accuracy of location information. A node is considered suspect if its claimed position is too far from the evaluated one.…”

Section: Related Workmentioning

confidence: 99%

“…Many methods are proposed, such as RSSI-based (Received Signal Strength Indicator) detection method [14][15][16], vehicle movement trajectory based method [17,18] and neighboring nodes information based method [19]. But there are two things that make the existing methods cannot work well: one is conspired Sybil attack, in which malicious vehicles obtain multiple false identities through the way of forgery, stolen and share their identities with the accomplices.…”

Section: Introductionmentioning

confidence: 99%

A method for defensing against multi-source Sybil attacks in VANET

Xia

Chen³

et al. 2016

Peer-to-Peer Netw. Appl.

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Sybil attack can counterfeit traffic scenario by sending false messages with multiple identities, which often causes traffic jams and even leads to vehicular accidents in vehicular ad hoc network (VANET). It is very difficult to be defended and detected, especially when it is launched by some conspired attackers using their legitimate identities. In this paper, we propose an event based reputation system (EBRS), in which dynamic reputation and trusted value for each event are employed to suppress the spread of false messages. EBRS can detect Sybil attack with fabricated identities and stolen identities in the process of communication, it also defends against the conspired Sybil attack since each event has a unique reputation value and trusted value.

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“…Sybil Detection (SD) assumes that vehicles are capable of detecting nodes that try to masquerade as multiple nodes (i.e., a Sybil attack [7]). …”

Section: Attack Scenarios and Analysismentioning

confidence: 99%

Poster: Securing vehicular platoon membership

Asplund

2014

2014 IEEE Vehicular Networking Conference (VNC)

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Abstract-Vehicular platoons have the potential to bring considerable fuel-savings and increase traffic efficiency. A key component for the next generation platoon systems is a secure membership component which can accommodate membership changes in a dynamic and potentially hostile environment. In this poster paper we analyse the conditions for creating a secure membership protocol which is resilient to attacks and faults in the communication protocols.

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Detecting Sybil attacks in VANETs

Cited by 168 publications

References 18 publications

Segregation of Sybil Attack using Neighbouring Information in VANET

Segregation of Sybil Attack using Neighbouring Information in VANET

A method for defensing against multi-source Sybil attacks in VANET

Poster: Securing vehicular platoon membership

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