A Sybil Attack Detection Scheme for a Centralized Clustering-Based Hierarchical Network

Jan, Mian Ahmad; Nanda, Priyadarsi; He, Xiangjian; Liu, Ren Ping

doi:10.1109/trustcom.2015.390

Cited by 62 publications

(48 citation statements)

References 23 publications

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“…Among them is Sybil attack where an adversary forges multiple identities at a given time to mislead legitimate nodes into believing that they are having many neighbours [21].…”

Section: Related Workmentioning

confidence: 99%

A Sybil attack detection scheme for a forest wildfire monitoring application

Jan

Nanda

et al. 2018

Future Generation Computer Systems

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Wireless Sensor Networks (WSNs) have experienced phenomenal growth over the past decade. They are typically deployed in human-inaccessible terrains to monitor and collect time-critical and delay-sensitive events. There have been several studies on the use of WSN in different applications. All such studies have mainly focused on Quality of Service (QoS) parameters such as delay, loss, jitter etc. of the sensed data. Security provisioning is also an important and challenging task lacking in all previous studies. In this paper, we propose a Sybil attack detection scheme for a cluster-based hierarchical network mainly deployed to monitor forest wildfire. We propose a two-tier detection scheme. Initially, Sybil nodes and their forged identities are detected by high-energy nodes. However, if one or more identities of a Sybil node sneak through the detection process, they are ultimately detected by the two base stations. After Sybil attack detection, an optimal percentage of cluster heads are elected and each one is informed using nomination packets. Each nomination packet contains the identity of an elected cluster head and an end user's specific query for data collection within a cluster. These queries are user-centric, on-demand and adaptive to an end user requirement. The undetected identities of Sybil nodes reside in one or more clusters. Their goal is to transmit high false-negative alerts to an end user for diverting attention to those geographical regions which are less vulnerable to * Corresponding author Email addresses: Priyadarsi.Nanda@uts.edu.au (Priyadarsi Nanda), Xiangjian.He@uts.edu.au (Xiangjian He) Preprint submitted to ElsevierMay 24, 2016 a wildfire. Our proposed approach has better network lifetime due to efficient sleep-awake scheduling, higher detection rate and low false-negative rate.

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“…Among them is Sybil attack where an adversary forges multiple identities at a given time to mislead legitimate nodes into believing that they are having many neighbours [21].…”

Section: Related Workmentioning

confidence: 99%

A Sybil attack detection scheme for a forest wildfire monitoring application

Jan

Nanda

et al. 2018

Future Generation Computer Systems

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“…In this case, energy of each cluster head will be exhausted rapidly in the aforementioned resource‐intensive operations. A large value of k opt will make a cluster‐based hierarchical network rather inefficient and ineffective because of low data aggregation and fusion …”

Section: Pawn: Payload‐based Authentication For Wsnmentioning

confidence: 99%

“…Lee et al analyzed the behavior of various attacks, such as continuous election as cluster head, TDMA schedule obedience, aborting and/or no transmission of member/cluster head data, and transmission of powerful signals. Jan et al investigated the behavior of Sybil nodes in cluster‐based hierarchical routing protocols. They studied the impact and consequences of Sybil nodes performing the role of cluster heads in these networks.…”

Section: Introductionmentioning

confidence: 99%

PAWN: a payload‐based mutual authentication scheme for wireless sensor networks

Jan

Nanda

Usman

et al. 2016

Concurrency and Computation

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Summary Wireless sensor networks (WSNs) consist of resource‐starving miniature sensor nodes deployed in a remote and hostile environment. These networks operate on small batteries for days, months, and even years depending on the requirements of monitored applications. The battery‐powered operation and inaccessible human terrains make it practically infeasible to recharge the nodes unless some energy‐scavenging techniques are used. These networks experience threats at various layers and, as such, are vulnerable to a wide range of attacks. The resource‐constrained nature of sensor nodes, inaccessible human terrains, and error‐prone communication links make it obligatory to design lightweight but robust and secured schemes for these networks. In view of these limitations, we aim to design an extremely lightweight payload‐based mutual authentication scheme for a cluster‐based hierarchical WSN. The proposed scheme, also known as payload‐based mutual authentication for WSNs, operates in 2 steps. First, an optimal percentage of cluster heads is elected, authenticated, and allowed to communicate with neighboring nodes. Second, each cluster head, in a role of server, authenticates the nearby nodes for cluster formation. We validate our proposed scheme using various simulation metrics that outperform the existing schemes.

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“…It has possible two values, Yes if used, No if not used. This criterion is very important because through this we can find out the use of tools in the description of the non-functional requirements [34][35][36]. The evaluation criteria discussed above are listed in a table 1 to illustrate thoroughly in order to comprehend the discussion based on these criteria.…”

Section: Frameworkmentioning

confidence: 99%