Analytical Model for Sybil Attack Phases in Internet of Things

Mishra, Alekha Kumar; Tripathy, Asis Kumar; Puthal, Deepak; Yang, Laurence T.

doi:10.1109/jiot.2018.2843769

Cited by 78 publications

(21 citation statements)

References 27 publications

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“…To be able to design these defense machineries, knowledge is needed to recognize behavior and predict the possible actions of the Sybil attacker. Mishra (Mishra AK et al, 2019) classifies Sybil attacks based on nature and tasks carried out during this attack into three phases, namely, the compromise, deployment, and launch phases.…”

Section: Sybil Attack Propertiesmentioning

confidence: 99%

Innovative survey of defense machinery against Sybil attacks over wireless ad hoc network on IoT

Singh

2021

JER is an international, peer-reviewed journal that publishes f

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Integrating IoT with Wireless Ad hoc Network (WANET) capabilities can solve several problems. However, because they both rely on identity nodes to communicate with each other, they are both vulnerable to Sybil attacks. Sybil attackers illegally change into several different identities (attackers) to carry out various malicious activities such as damaging data aggregation, voting, and disrupting routing. Several defense machineries have been proposed for Sybil attacks on WANET, which are mostly based on cryptography, location or position, network behavior, resource testing, and trust. However, the drawbacks are that not all machinery are suitable for use in networks with limited resources. This paper presents a survey, classification, and comparison of various defense machineries that have been proposed for non-IoT WANETs. The author emphasizes the issue of the advantages and disadvantages of this defense mechanism when applied to the IoT infrastructure and how each method can effectively recognize properties of Sybil attacks.

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Section: Sybil Attack Propertiesmentioning

confidence: 99%

Innovative survey of defense machinery against Sybil attacks over wireless ad hoc network on IoT

Singh

2021

JER is an international, peer-reviewed journal that publishes f

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“…However, this scheme might not work well on all circumstances as the measures depend on the Received Signal Strength Indicator (RSSI) values; however, a powerful attacker may bypass the scheme. A comprehensive study of the behavior of a Sybil attack has been offered in [149], which may help to formulate an effective countermeasure to defend IoT from such attacks. Authors defined the defense mechanisms as Behavior Classification-Based Sybil Detection (BCSD), Mobile Sybil Detection (MSD), and Social Graph-Based Sybil Detection (SGSD) [116] to defend against such attack in IoT.…”

Section: B Autonomic Approachesmentioning

confidence: 99%

A Survey of Security Challenges, Attacks Taxonomy and Advanced Countermeasures in the Internet of Things

et al. 2020

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“…To avoid the Sybil attack effects, defense mechanisms that can detect Sybil attacks accurately are needed. Mishra [1] classifies Sybil attacks based on nature and tasks carried out during this attack into three phases, namely the compromise, deployment, and launch phases. This property is significant to be considered in the design of defense mechanisms so that these defense mechanisms can recognize behavior and predict the likelihood of the actions of Sybil attackers appropriately.…”

Section: Sybil Attack Defense Mechanismmentioning

confidence: 99%

“…So this research was conducted to solve several problems related to Vanet that are still an open problem, including as follows. Accuracy issue is that the defense mechanism can detect Sybil at each phase, and it must be able to discover the large percentage of Sybil nodes in any properties [1]. Privacy issue is that most vehicle users hope that their identity information can be stored in VANET because they are afraid that their trip will leak with that identity [2].…”

Section: Introductionmentioning

confidence: 99%

Hybrid Trust-based Defense Mechanisms Against Sybil Attack in Vehicular Ad-hoc Networks

Rhamdhan¹,

Hidayat²

2020

Proceedings of the Proceedings of the 7th Mathematics, Science, and Computer Science Education International Seminar, MSCEIS 20

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The application of IoT in Vehicular Ad-Hoc Networks (VANET) allows the realization of intelligent transportation systems to ensure the comfort and safety of road users. However, as an implication, attacks that can interfere with this aim certainly need to be a significant concern. It is because the stakes are not only network security but also the safety of the driver and its passengers. One of the attacks which had a substantial impact on VANET was the Sybil attack. Sybil attackers illegally change into several different identities to carry out malicious activities such as disrupting routing, causing traffic jams, bottlenecks, and even accidents. Various security methods are introduced to VANET to detect Sybil attacks, but there are still several issues that have not been resolved. In this paper, we proposed the design of a defense mechanism against Sybil attacks. This mechanism aims to be suitable for application on IoT networks that have limited resources an also considering accuracy, privacy, safety, and real-world implementations. The proposed design uses a hybrid scheme with a trust-based method. Each node has an obfuscated identity to guarantee privacy. The trust center in the form of a Road Side Unit (RSU) will give a reputation value to each identity that will be evaluated periodically when in the range. Nodes form a fully distributed network when there is no RSU. It will use a data-centric neighbor trust scheme where its neighbors will assess each node based on the exchanging data. Each node reports on suspicious nodes to the RSU for evaluation. This mechanism allows RSU to evaluate suspicious node, which decides to isolate that Sybil node out of network.

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Analytical Model for Sybil Attack Phases in Internet of Things

Cited by 78 publications

References 27 publications

Innovative survey of defense machinery against Sybil attacks over wireless ad hoc network on IoT

Innovative survey of defense machinery against Sybil attacks over wireless ad hoc network on IoT

A Survey of Security Challenges, Attacks Taxonomy and Advanced Countermeasures in the Internet of Things

Hybrid Trust-based Defense Mechanisms Against Sybil Attack in Vehicular Ad-hoc Networks

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