A Privacy Technique for Providing Anonymity to Sensor Nodes in a Sensor Network

Park, Jeong-Hyo; Jung, Yong-Hoon; Ko, Hoon; Kim, Jeong-Jai; Jun, Moon-Seog

doi:10.1007/978-3-642-20975-8_34

Cited by 8 publications

(8 citation statements)

References 15 publications

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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%

“…x x [29] x [31] x [21] x x [34] x x [20] x [49] x [53] x [16] x x [46] x [50] x [35] x x [54] x [13] x x [14] x x [24] x x [38] x [18] x x [47] x [48] x [26] x [42] x x [27] x [45] x [15] x x [19] [32]…”

Section: Journal Of Sensorsmentioning

confidence: 99%

“…Anonymity and authentication are among the least relevant goals. Papers [25,34,35] focus on providing sensor anonymity. This feature is related to the location privacy mentioned so far: if the node remains anonymous, it is not possible to distinguish it from others, thus avoiding location tracking.…”

Section: Journal Of Sensorsmentioning

confidence: 99%

“…The destination ID for each packet (i.e., the sink) is encrypted [29] Events follow a probability distribution; initiate on a random location of the WSN perimeter; eventually terminate within the network [31] Ring x Time is slotted, one event per slot [21] x [34] [20]…”

Section: Networkmentioning

confidence: 99%

See 3 more Smart Citations

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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Section: Encryptionmentioning

confidence: 99%

Section: Journal Of Sensorsmentioning

confidence: 99%

Section: Journal Of Sensorsmentioning

confidence: 99%

Section: Networkmentioning

confidence: 99%

See 2 more Smart Citations

Privacy Models in Wireless Sensor Networks: A Survey

2016

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“…There are various schemes to overcome context threats from the global adversary model [1]. For instance, separate path routing allows each packet to travel towards the sink using a different route [23]; network location anonymization uses a fake identity for the source [24,25]; network coding breaks down each packet into smaller pieces that follow different routes to the sink [26,27]; and dummy data sources create dummy sources that generate fake traffic, which confuses the adversary about the identity and location of the source [28,29]. Using fake traffic is by far the most effective method against global adversaries because it uses different types of packets that appear similar from the outside.…”

Section: Introductionmentioning

confidence: 99%

Source Anonymity against Global Adversary in WSNs Using Dummy Packet Injections: A Survey

2018

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Source anonymity in wireless sensor networks (WSNs) becomes a real concern in several applications such as tracking and monitoring. A global adversary that has sophisticated resources, high computation and full view of the network is an obvious threat to such applications. The network and applications need to be protected and secured to provide the expected outcome. Source anonymity is one of the fundamental WSNs security issues. It is all about preventing the adversary from reaching the origin by analyzing the traffic of the network. There are many methods to provide source anonymity, which is also known as Source Location Privacy (SLP). One of these methods is based on dummy packets. The basic notion is to inject the network with dummy packets to confuse the adversary about the location of the transmitting source node. This paper provides a survey of protocols for anonymity that use dummy packet injections. We discuss each technique from the point of their advantages and disadvantages. Further, We provide a comparison for the most promising techniques provided in the literature which use dummy packet injections. A comparison for the adversary assumptions and capabilities will be provided as well.

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Source Node Position Confidentiality (SNPC) Conserving Position Monitoring System for Wireless Networks

Medhane

Sangaiah

2015

Advances in Intelligent Systems and Computing

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A Privacy Technique for Providing Anonymity to Sensor Nodes in a Sensor Network

Cited by 8 publications

References 15 publications

Privacy Models in Wireless Sensor Networks: A Survey

Privacy Models in Wireless Sensor Networks: A Survey

Source Anonymity against Global Adversary in WSNs Using Dummy Packet Injections: A Survey

Source Node Position Confidentiality (SNPC) Conserving Position Monitoring System for Wireless Networks

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