Privacy protection algorithm based on linear directional phantom source node in WSN

Bai, Leqiang; Li, Guoku; Zhu, Hongshu

doi:10.1109/icsess.2017.8343044

Cited by 6 publications

(5 citation statements)

References 12 publications

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“…Therefore, (A7) has the maximum at one of the boundary points E 1 cu = 0 or E 1 cu = E CU s as long as we prove the monotonicity of g(E 1 cu ). We differentiate g(E The denominator of (A8) is constant positive.…”

Section: Discussionmentioning

confidence: 69%

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Energy-Efficient Time and Energy Resource Allocation in Non-selfish Symbiotic Cognitive Relaying Sensor Network with Privacy Preserving for Smart City

Liu

Gao

et al. 2020

Preprint

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Energy efficiency and privacy preserving have become essential for the wireless sensor networks. In the previous work, an optimal power allocation algorithm was investigated for a non-selfish symbiotic cognitive relaying scheme (NSCRS) in the sensor network with coexistence of a primary user (PU) and cognitive users (CUs). However, the optimal strategy of energy and time resource allocation as well as the privacy preserving was not considered. In this paper, we further consider the joint energy and time resource allocation problem for the cognitive users in NSCRS to maximize the overall capacity of the primary user and cognitive users with the consideration of information privacy under the energy constraints of cognitive users. With full channel state information (CSI), i.e., PU s -PU d , PU s -CUs and CUs-PU d , an optimal energy and time resource allocation algorithm is proposed based on the exhaustive searching. In order to reduce the overhead of CSI feedback, a suboptimal algorithm, in which only the instantaneous CSI of PU s -PU d , the instantaneous CSI of PU s -CUs and an averaged CSI of CUs-PU d by long term observation rather than an instantaneous value of CSI of CUs-PU d are required, is additionally proposed. Simulation results demonstrate the energy efficiency of primary and cognitive users in the NSCRS with consideration of information privacy can be greatly improved by the proposed algorithms.

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Section: Discussionmentioning

confidence: 69%

“…Recently, the wireless sensor network (WSN) with privacy preserving has been widely considered in the civilian fields [1,2]. However, due to the limited power supply for sensor nodes, energy efficiency of relay assisted WSN has attracted more and more attention [3,4].…”

Section: Introductionmentioning

confidence: 99%

Energy-Efficient Time and Energy Resource Allocation in Non-selfish Symbiotic Cognitive Relaying Sensor Network with Privacy Preserving for Smart City

Liu

Gao

et al. 2020

Preprint

View full text Add to dashboard Cite

show abstract

“…Therefore, (A7) has the maximum at one of the boundary points E 1 cu = 0 or E 1 cu = E CU s as long as we prove the monotonicity of g(E 1 cu ). We differentiate g(E 1 cu ) with respect to E The denominator of (A8) is constant positive.…”

Section: Appendix Amentioning

confidence: 69%

Energy-Efficient Time and Energy Resource Allocation in Non-selfish Symbiotic Cognitive Relaying Sensor Network with Privacy Preserving for Smart City

Liu

Gao

et al. 2020

Preprint

View full text Add to dashboard Cite

Energy efficiency and privacy preserving have become essential for the wireless sensor networks. In this paper, a joint energy and time resource allocation problem for the cognitive users (CUs) in a non-selfish symbiotic cognitive relaying scheme (NSCRS) is considered. We aim to maximize the total energy efficiency (EE) of the primary user and cognitive users with the consideration of information privacy under the total energy constraints of cognitive users. With full channel state information (CSI), an optimal energy and time resource allocation algorithm is proposed based on the exhaustive searching. Besides, in order to reduce the overhead of CSI feedback, a suboptimal algorithm, in which only the partial instantaneous CSI is required, is additionally proposed. Simulation results demonstrate the energy efficiency of primary and cognitive users in the NSCRS with consideration of information privacy can be greatly improved by the proposed algorithms.

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“…Another location privacy against local attacks only called BSLDPS (Base source Linear Directional Phantom Source) proposed in [23] that tries to randomize phantom source selection. The packet will be transmitted in random walks multiple hops based on nodes location coordinates until it reaches the phantom source.…”

Section: Fig 3 Taxonomy Of Contextual Unobservability In Wsnmentioning

confidence: 99%

A Novel and Efficient Priority-Based Cross-Layer Contextual Unobservability Scheme Against Global Attacks for WMSNs

Almalkawi

Raed

Alsarhan

et al. 2021

Int. J. Interact. Mob. Technol.

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Even though many security schemes proposed for wireless sensor networks protect transmitted data content from being revealed to different types of attacks and fulfill most of the desired security requirements, they are not addressing concealing the privacy of the contextual information. Contextual information such as event occurrence, event time, and event location can be exposed to an adversary by just monitoring network packet transmission. This kind of information is very important because it can leak location information of key nodes or even detected events themselves. Therefore, proposing a contextual unobservability scheme is a challenging task in sensor networks considering many issues: the broadcast nature of the wireless channel, the different attacker models, the network resource constraints, and the overhead on system performance. Most of the existing location privacy schemes are not addressing all these issues and are either not efficient against global adversaries or degrade significantly network performance. Thus in this paper, we propose an efficient location contextual anonymity scheme for Wireless Multimedia Sensor Network (WMSN) that exploits the cross-layer joint design among the application, routing, and MAC layers. Our proposed location unobservability scheme combines the source coding technique, probabilistic packet transmission, multipath routing, and priority-based dropping policy to enhance the efficiency level of the provided privacy service without noticeably affecting the Quality of Service (QoS) requirement for delivering multimedia content in WMSN. Performance evaluation results show that our proposed privacy mechanism outperforms other proposed location privacy techniques in terms of privacy efficiency (safety period) and network performance (end-to-end delay and energy consumption).

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Privacy protection algorithm based on linear directional phantom source node in WSN

Cited by 6 publications

References 12 publications

Energy-Efficient Time and Energy Resource Allocation in Non-selfish Symbiotic Cognitive Relaying Sensor Network with Privacy Preserving for Smart City

Energy-Efficient Time and Energy Resource Allocation in Non-selfish Symbiotic Cognitive Relaying Sensor Network with Privacy Preserving for Smart City

Energy-Efficient Time and Energy Resource Allocation in Non-selfish Symbiotic Cognitive Relaying Sensor Network with Privacy Preserving for Smart City

A Novel and Efficient Priority-Based Cross-Layer Contextual Unobservability Scheme Against Global Attacks for WMSNs

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