Accountable and Privacy-Enhanced Access Control in Wireless Sensor Networks

He, Daojing; Chan, Sammy; Guizani, Mohsen

doi:10.1109/twc.2014.2347311

Cited by 23 publications

(20 citation statements)

References 17 publications

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“…The voltage (i.e., 3 V(volt)) and the current (i.e., 1.8 µA (microamp)) values are directly obtained from TelosB data-sheet [32]. By multiplying the values of V and I with the execution time (t), we can determine the amount of energy required to execute the ECC, AES, and SHA-1 operations [25], [35], [36]. As we can seen in Table II, the total amount of energy consumed in ECC, AES and SHA-1 is (≈) 15,148 µJ.…”

Section: B Evaluationmentioning

confidence: 99%

Access Control Protocol With Node Privacy in Wireless Sensor Networks

et al. 2016

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Abstract-For preventing malicious nodes joining wireless sensor networks (WSNs), an access control mechanism is necessary for the trustworthy cooperation between the nodes. In addition to access control, recently, privacy has been an important topic regarding how to achieve privacy without disclosing the real identity of communicating entities in the WSNs. Based on elliptic curve cryptography (ECC), in this paper we present an access control protocol with node privacy (called ACP) for the WSN. The proposed scheme not only accomplishes the node authentication but also provides the identity privacy (i.e., source to destination and vice-versa) for the communicating entities. Compared with the current state of the art, the proposed solution can defend actively against attacks. The efficacy and efficiency of the proposed ACP are confirmed through the test-bed analysis and performance evaluations.

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Section: B Evaluationmentioning

confidence: 99%

Access Control Protocol With Node Privacy in Wireless Sensor Networks

et al. 2016

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“…Routing Aggregation Packet injection Anonymity/ -anonymity/pseudonymity Statistics [44] x x Anonymity [39] x [30] x x [22] x x [28] -anonymity [25] x x [52] x x [29] x [31] x x Anonymity [21] x [34] Pseudonymity [20] x x [49] x x [53] x [16] x (+ ring signature) Pseudonymity [46] x x [50] Pseudonymity [35] x [54] x [13] (x) (x) [14] x x Pseudonymity [24] x Anonymity [38] x [18] (x) x x [47] x [48] x [26] x x [42] x Pseudonymity [27] x x [45] x x [15] (x) x x [19] x x x Pseudonymity [32] x [23] x x x [17] x Pseudonymity [43] x x [36] x [33] x [37] x [40] x x x [41] x x x the survey is representative of the different directions in this field. Additionally, since papers are from the last 5 years, this section gives an up-to-date vision on the research trends in WSN privacy.…”

Section: Encryptionmentioning

confidence: 99%

“…Both [19] Source [32] x (query and query results) x [23] Source [17] x (query and query results) [43] [36] x [33] x (query and query results) [37] x [40] x [41] 6 Journal of Sensors Eavesdropping/traffic analysis Query revealing Authentication and privacy: tracking (default)/impersonation (when noted) [44] x x [39] x [30] x x [22] x [28] x [25] [52]…”

Section: Journal Of Sensorsmentioning

confidence: 99%

“…x [23] x x [17] x x x (impersonation) [43] x [36] x (impersonation) [33] x [37] x (impersonation) [40] x [41] Particularly, the considered papers address five privacyrelated goals (Figure ?? ): location privacy, data confidentiality, anonymity, access control, and authentication.…”

Section: Journal Of Sensorsmentioning

confidence: 99%

“…Mainly related to queries, access control is a privacypreserving goal in WSNs for a small subset of works. Particularly, only [13,17,33] are concerned with queries. The issue here is not only related to the confidentiality of information but also ensuring that only authorized parties may have access to that information.…”

Section: Journal Of Sensorsmentioning

confidence: 99%

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Privacy Models in Wireless Sensor Networks: A Survey

2016

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Wireless Sensor Networks (WSNs) are attracting attention from the research community. One of the key issues is to provide them with privacy protection. In recent years, a huge amount of contributions has been focused on this area. Surveys and literature reviews have also been produced to give a systematic view of the different approaches taken. However, no previous work has focused on privacy models, that is, the set of assumptions made to build the approach. In particular, this paper focuses on this matter by studying 41 papers of the last 5 years. We highlight the great differences appearing among related papers that could make them incompatible to be applied simultaneously. We propose a set of guidelines to build comprehensive privacy models so as to foster their comparability and suitability analysis for different scenarios.

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