Temporal privacy scheme for end-to-end location privacy in wireless sensor networks

Abuzneid, Abdel-shakour; Sobh, Tarek M.; Faezipour, Miad

doi:10.1109/eesco.2015.7253969

Cited by 2 publications

(14 citation statements)

References 13 publications

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“…WSN could suffer from time correlation attacks [ 11 , 13 , 14 , 23 , 42 ] by observing the time between correlative packets sent and received in a certain neighborhood. The adversary can trace forward and backward the messages until they reach to the BS or to the source.…”

Section: Module Iii: Temporal Privacymentioning

confidence: 99%

“…If the anonymity of each sensor is A = 0.8, then the anonymity at node “b” is A = 0.8 2 = 0.64 and at point “d” is A = 0.8 4 = 0.41. Having global adversary makes it super necessary to design a strong anonymity model which can resist the time correlation attack [ 42 ].…”

Section: Module Iii: Temporal Privacymentioning

confidence: 99%

“… Timing for receiving a real message and then sending it out during the interval period assigned to the sensor node. The total delay will include the processing time, transmission time and the withhold time [ 42 ]. …”

Section: Module Iii: Temporal Privacymentioning

confidence: 99%

See 2 more Smart Citations

Fortified Anonymous Communication Protocol for Location Privacy in WSN: A Modular Approach

Abuzneid

Sobh

Faezipour

et al. 2015

Sensors

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Wireless sensor network (WSN) consists of many hosts called sensors. These sensors can sense a phenomenon (motion, temperature, humidity, average, max, min, etc.) and represent what they sense in a form of data. There are many applications for WSNs including object tracking and monitoring where in most of the cases these objects need protection. In these applications, data privacy itself might not be as important as the privacy of source location. In addition to the source location privacy, sink location privacy should also be provided. Providing an efficient end-to-end privacy solution would be a challenging task to achieve due to the open nature of the WSN. The key schemes needed for end-to-end location privacy are anonymity, observability, capture likelihood, and safety period. We extend this work to allow for countermeasures against multi-local and global adversaries. We present a network model protected against a sophisticated threat model: passive /active and local/multi-local/global attacks. This work provides a solution for end-to-end anonymity and location privacy as well. We will introduce a framework called fortified anonymous communication (FAC) protocol for WSN.

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Section: Module Iii: Temporal Privacymentioning

confidence: 99%

Section: Module Iii: Temporal Privacymentioning

confidence: 99%

See 1 more Smart Citation

Fortified Anonymous Communication Protocol for Location Privacy in WSN: A Modular Approach

Abuzneid

Sobh

Faezipour

et al. 2015

Sensors

Self Cite

View full text Add to dashboard Cite

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“…ADV cannot relate routes to nodes [20]. Even if two messages follow the exact same route, ADV will see them as if they are two different routes since each node along the route has different PIDs.…”

Section: Routing Privacymentioning

confidence: 99%

“…Energy transmission efficiency ETE [20] can be calculated as The energy safety period is the time when the first sensor is depleted. However, transmission of data is distributed among all sensors to make sure the safety period lasts longer.…”

Section: Energy and Location Safety Periodmentioning

confidence: 99%

An Enhanced Communication Protocol for Location Privacy in WSN

Abuzneid

Sobh

Faezipour

2015

International Journal of Distributed Sensor Networks

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Wireless sensor network (WSN) is built of many sensor nodes. The sensors can sense a phenomenon, which will be represented in a form of data and sent to an aggregator for further processing. WSN is used in many applications, such as object tracking and security monitoring. The objects in many situations need physical and location protection. In addition to the source location privacy, sink location privacy should be provided. Providing an efficient location privacy solution would be challenging due to the open nature of the WSN. Anonymity is a key solution for location privacy. We present a network model that is protected against local, multilocal, and global adversaries that can launch sophisticated passive and active attacks against the WSN.

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Temporal privacy scheme for end-to-end location privacy in wireless sensor networks

Cited by 2 publications

References 13 publications

Fortified Anonymous Communication Protocol for Location Privacy in WSN: A Modular Approach

Fortified Anonymous Communication Protocol for Location Privacy in WSN: A Modular Approach

An Enhanced Communication Protocol for Location Privacy in WSN

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