ZoneTrust: Fast Zone-Based Node Compromise Detection and Revocation in Wireless Sensor Networks Using Sequential Hypothesis Testing

Ho, Jun-Won; Wright, Matthew; Das, Sajal K.

doi:10.1109/tdsc.2011.65

Cited by 56 publications

(29 citation statements)

References 21 publications

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“…Ho et al in [6] 2012 used a statistical decision process to detect replicas with multiple pieces of evidence. In this method, base station uses the evidence to find whether a suspected node is a replica or not.…”

Section: Review Of Literaturementioning

confidence: 99%

Clone Detection Using Enhanced EDD (EEDD) with Danger Theory in Mobile Wireless Sensor Network

Sindhuja¹,

Padmavathi²

2015

IJSIA

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Section: Review Of Literaturementioning

confidence: 99%

Clone Detection Using Enhanced EDD (EEDD) with Danger Theory in Mobile Wireless Sensor Network

Sindhuja¹,

Padmavathi²

2015

IJSIA

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“…It is also assumed that compromised nodes cannot forge their identities; such forgeries can be detected by using [14]. Please note that the identification of compromised nodes (e.g., as in [15]) is a separate issue and beyond of the scope of this paper.…”

Section: Detection Of Manipulated Compilation Attacks (Mcas)mentioning

confidence: 99%

Method for Detecting Manipulated Compilation of Sensing Reports in Wireless Sensor Networks

Lee

2015

The Scientific World Journal

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In cluster-based wireless sensor networks (WSNs), a few sensor nodes, including cluster heads (CHs), can be physically compromised by a malicious adversary. By using compromised CHs, the adversary can intentionally attach false message authentication codes into legitimate sensing reports in order to interrupt reporting of the real events. The existing solutions are vulnerable to such a type of security attacks, called manipulated compilation attacks (MCAs), since they assume that CHs are uncompromised. Thus, the reports manipulated by compromised CHs will be discarded by forwarding nodes or rejected at base stations, so that real events on the fields cannot be properly reported to the users. In this paper, the author proposes a method for the detection of MCAs in cluster-based WSNs. In the proposed method, every sensing report is collaboratively generated and verified by cluster nodes based on very loose synchronization. Once a cluster node has detected an MCA for a real event, it can reforward a legitimate report immediately. Therefore, the event can be properly reported to the users. The performance of the proposed method is shown with analytical and experimental results at the end of the paper.

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“…A number of methods have been developed to make wireless sensor networks secure and reliable [15]. A zone-based node compromise detection and revocation scheme is proposed in [16] that uses sequential hypothesis testing to detect suspect regions in which compromised nodes are likely placed. The authors in [17] adapt the social trust mechanism to construct a trust model in accordance with the characteristics of the WSNs.…”

Section: Related Workmentioning

confidence: 99%

A Trust-Based Framework for Fault-Tolerant Data Aggregation in Wireless Multimedia Sensor Networks

Sun

Luo

Das

2012

IEEE Trans. Dependable and Secure Comput.

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100

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For wireless multimedia sensor networks (WMSNs) deployed in noisy and unattended environments, it is necessary to establish a comprehensive framework that protects the accuracy of the gathered multimedia information. In this paper, we jointly consider data aggregation, information trust, and fault tolerance to enhance the correctness and trustworthiness of collected information. Based on the multilayer aggregation architecture of WMSNs, we design a trust-based framework for data aggregation with fault tolerance with a goal to reduce the impact of erroneous data and provide measurable trustworthiness for aggregated results. By extracting statistical characteristics from different sources and extending Josang's trust model, we propose how to compute self-data trust opinion, peer node trust opinion, and peer data trust opinion. According to the trust transfer and trust combination rules designed in our framework, we derive the trust opinion of the sink node on the final aggregated result. In particular, this framework can evaluate both discrete data and continuous media streams in WMSNs through a uniform mechanism. Results obtained from both simulation study and experiments on a real WMSN testbed demonstrate the validity and efficiency of our framework, which can significantly improve the quality of multimedia information as well as more precisely evaluate the trustworthiness of collected information.

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ZoneTrust: Fast Zone-Based Node Compromise Detection and Revocation in Wireless Sensor Networks Using Sequential Hypothesis Testing

Cited by 56 publications

References 21 publications

Clone Detection Using Enhanced EDD (EEDD) with Danger Theory in Mobile Wireless Sensor Network

Clone Detection Using Enhanced EDD (EEDD) with Danger Theory in Mobile Wireless Sensor Network

Method for Detecting Manipulated Compilation of Sensing Reports in Wireless Sensor Networks

A Trust-Based Framework for Fault-Tolerant Data Aggregation in Wireless Multimedia Sensor Networks

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