A Privacy Protection Strategy for Source Location in WSN Based on Angle and Dynamical Adjustment of Node Emission Radius

Zhang, Jia; Wei, Xiaolin; Guo, Hairu; Peng, Weiping; Song, Cheng

doi:10.1049/cje.2016.08.022

Cited by 14 publications

(10 citation statements)

References 5 publications

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“…It is a significant standard for the global VM scheduling. When the next migration is going to be conducted, we should evaluate the idle-state of Get the running VM list in (5) Get the hosting task list in (6) for each hosted task do (7) Get the number of occupied VMs (8) Select the destination cloudlet by Algorithms 1 and 2 (9) end for (10) if all the VMs can be migrated away then (11) Generate a migration composition (12) Update the cloudlet status and VM distribution (13) else =1 (14) Delete the temporal migration strategies (15) end if (16) = + 1, = + 1 (17) end while (18) for the reserved tasks' records do the active cloudlets, to confirm and record the idle space before the migration time t. After detecting the idle space, the current cloudlet resource utilization before the migration time could be achieved.…”

Section: Idle-state Detection For Cloudletsmentioning

confidence: 99%

“…Especially in an open network such as WMAN, personal information is easily leaked with high probability. The more nodes data pass through in WMAN when the data about users' privacy is transmitted, the more possibly users' privacy could be leaked [15]. To realize privacy preservation of mobile users, it is necessary to reduce the data transmission hops due to VM migrations [16].…”

Section: Introductionmentioning

confidence: 99%

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Energy-Efficient Cloudlet Management for Privacy Preservation in Wireless Metropolitan Area Networks

Huang

Dou

et al. 2018

Security and Communication Networks

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Currently, cloudlet based wireless metropolitan area network (WMAN) is emerging as an effective paradigm to extend the performance of mobile devices, which enables the execution of computational intensive mobile applications. But the normal operation of cloudlets consumes a large amount of energy, which brings about carbon dioxide emissions, aggravation of the greenhouse effect, etc. Meanwhile the data transmission of various mobile users among cloudlets would cause leakage of personal privacy. In view of this challenge, we propose an energy-efficient cloudlet management method, named ECM, for privacy preservation in WMAN. Technically, an optimization model is designed to formalize our problem. Then, based on live virtual machine (VM) migration technique, a corresponding privacy-aware VM scheduling method for energy saving is designed to determine which VMs should be migrated and where they should be migrated. Finally, experimental data demonstrate that the proposed method is both efficient and effective.

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Section: Idle-state Detection For Cloudletsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Energy-Efficient Cloudlet Management for Privacy Preservation in Wireless Metropolitan Area Networks

Huang

Dou

et al. 2018

Security and Communication Networks

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“…But this could create many new threats (e.g., Refs. [2,3]). In this work, we are especially interested in a physical-layer authentication, where the authentication information is embedded into the modulated signal and transmitted over a noisy channel.…”

Section: Introductionmentioning

confidence: 99%

Physical‐Layer Authentication via a Dynamic Scaling

Jiang

Liao³

2020

Chin. j. electron.

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“…Anytime, any sensor node may become a SoN. Once the target is detected, the SoN will generate the encrypted data packets and transmit them to the SN in a multi hop fashion [2,3]. However, due to the open nature of the wireless transmission medium, the packet sender can easily be located by the adversary.…”

Section: Introductionmentioning

confidence: 99%

“…They use the phantom node to entice the adversaries away from the actual source node. If the attacker cannot track the PN, it is impossible for him to trace the location of the true source node [2]. PRS involves two phases: The random walk phase and the subsequent flooding phase.…”

Section: Introductionmentioning

confidence: 99%

SPS and DPS: Two New Grid-Based Source Location Privacy Protection Schemes in Wireless Sensor Networks

Wang

Zhan

Ouyang

et al. 2019

Sensors

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Wireless Sensor Networks (WSNs) have been widely deployed to monitor valuable objects. In these applications, the sensor node senses the existence of objects and transmitting data packets to the sink node (SN) in a multi hop fashion. The SN is a powerful node with high performance and is used to collect all the information sensed by the sensor nodes. Due to the open nature of the wireless medium, it is easy for an adversary to trace back along the routing path of the packets and get the location of the source node. Once adversaries have got the source node location, they can capture the monitored targets. Thus, it is important to protect the source node location privacy in WSNs. Many methods have been proposed to deal with this source location privacy protection problem, and most of them provide routing path diversity by using phantom node (PN) which is a fake source node used to entice the adversaries away from the actual source node. But in the existing schemes, the PN is determined by the source node via flooding, which not only consumes a lot of communication overhead, but also shortens the safety period of the source node. In view of the above problems, we propose two new grid-based source location privacy protection schemes in WSNs called grid-based single phantom node source location privacy protection scheme (SPS) and grid-based dual phantom node source location privacy protection scheme (DPS) in this paper. Different from the idea of determining the phantom node by the source node in the existing schemes, we propose to use powerful sink node to help the source node to determine the phantom node candidate set (PNCS), from which the source node randomly selects a phantom node acting as a fake source node. We evaluate our schemes through theoretical analysis and experiments. Experimental results show that compared with other schemes, our proposed schemes are more efficient and achieves higher security, as well as keeping lower total energy consumption. Our proposed schemes can protect the location privacy of the source node even in resource-constrained wireless network environments.

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A Privacy Protection Strategy for Source Location in WSN Based on Angle and Dynamical Adjustment of Node Emission Radius

Cited by 14 publications

References 5 publications

Energy-Efficient Cloudlet Management for Privacy Preservation in Wireless Metropolitan Area Networks

Energy-Efficient Cloudlet Management for Privacy Preservation in Wireless Metropolitan Area Networks

Physical‐Layer Authentication via a Dynamic Scaling

SPS and DPS: Two New Grid-Based Source Location Privacy Protection Schemes in Wireless Sensor Networks

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