A Regional Statistics Detection Scheme against Sybil Attacks in WSNs

Li, Mingxi; Xiong, Yan; Wu, Xuangou; Zhou, Xiancun; Sun, Yalun; Chen, Shenpei; Zhu, Xiaoya

doi:10.1109/trustcom.2013.39

Cited by 13 publications

(9 citation statements)

References 18 publications

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“…When the wide simulation is being done, it revealed that LSDF with few evidences can perceive the SYBIL attack action accurately. Makhdoom [24] et al it gives a detailed review and analysis on the several defenses which was proposed against SYBIL attack. As the author know the weakness and strength and it gives a novel "One Way Code Attestation Protocol (OWCAP)" for wireless sensor networks.…”

Section: Literature Reviewmentioning

confidence: 99%

An approach towards preventing iot based sybil attack based on contiki framework through cooja simulator

Singhal¹,

Sharma²,

Arora³

2018

IJET

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In this paper we propagate the Sybil attack in WSN (Wireless sensor network), by the researchers many attacks have been recognized in WSN till now and there are many attacks which can attack over through internet, Internet of thing means all devices is interconnected to each other M2M over internet and can be attacked by any of the attacker on any devices. Sybil attack is the detrimental attack against sensor network where several counterfeit identities and legitimate identities are used to get prohibited pass in a network. This is major attack which results an information loss and misinterpretation in the network, and it also minimizes the routing disturbance, trustworthiness and dropping sensitivity packets into a network. In this instance node can trust the imaginary node and sharing of information starts, owed to this security of node is get affected and information is lost. In this paper, a survey of CONTIKI OS-2.7, stimulation tool COOJA and the Sybil attack and proposed the defense mechanisms and CAM (Compare and Match) approach to verify the Sybil attack position and prevent it. This Sybil attack can be stimulated on the stimulation tool COOJA which helps to identify the attacker position node, whereas these attacks outcome in uni-casting as well as multicasting and in this paper specifically given the secure security for Wireless sensor network.

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Section: Literature Reviewmentioning

confidence: 99%

An approach towards preventing iot based sybil attack based on contiki framework through cooja simulator

Singhal¹,

Sharma²,

Arora³

2018

IJET

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“…Sun [7] et al have proposed a regional statistics detection scheme (RSDs) against sybil attacks, which is an effective solution to three key issues: firstly, the authors have addressed the sybil attack by a RSSI-based distributed detection mechanism, secondly, their protocol can prevented the network from a large number of nodes failure caused by sybil attacks, Thirdly, the RSDs has been verified can maintain a high detection probability with low system overhead by implement experiments. Finally, the authors run their protocol in a prototype detection system with 32 nodes that the experiment result confirmed its high efficiency.…”

Section: Sybil Attackmentioning

confidence: 99%

Efficient Defense Mechanism against Sybil Attack in Wireless Sensor Network

2017

ijecs

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“…Case in point, an aggressor may smother a blockage cautioning, and use it in an alternate time, so vehicles won't get the cautioning and compelled to hold up in the activity [13].…”

Section: Message Suppression Attackmentioning

confidence: 99%

“…Every hub send messages with various characters, thusly different hubs understand that there are numerous hubs in the system in the meantime. This assault is extremely unsafe on the grounds that a one hub can issue its different areas in the meantime and this making security hazard [17].…”

Section: Sybil Attackmentioning

confidence: 99%

Mitigation of Sybil Attack Using Location Aware Nodes in VANET

2015

IJSR

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VANETs also called as intelligent transportation system (ITS) in which vehicles communicate to provide timely information.Their aim is to provide security, information and management of network. Instead of their many advantages vehicular network is prone to various attacks. In this research removal of Sybil attack in which node creates its multiple identities and it can be affected by various ways. In previous work Sybil attack is prevented by using the timestamp. Every node has some time stamp to communicate with RSU in which identities are verified. If multiple identities exist then there must be an attacker. On high traffic roads there are number of vehicles for which RSU cannot process all vehicles and also vehicles have high mobility due to which timestamp may be collapse or may miss by vehicle. In previous work three methods were used to find the physical measurement of message that were Time of Arrival (TOA), Angel of Arrival (AOA), and Received Signal Strength (RSSI). In this work, we are using GPSR, Which Reduce the Chances of Attacks.

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A Regional Statistics Detection Scheme against Sybil Attacks in WSNs

Cited by 13 publications

References 18 publications

An approach towards preventing iot based sybil attack based on contiki framework through cooja simulator

An approach towards preventing iot based sybil attack based on contiki framework through cooja simulator

Efficient Defense Mechanism against Sybil Attack in Wireless Sensor Network

Mitigation of Sybil Attack Using Location Aware Nodes in VANET

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