Location privacy in database-driven Cognitive Radio Networks: Attacks and countermeasures

Gao, Zhaoyu; Zhu, Haojin; Liu, Yao; Li, Muyuan; Cao, Zhenfu

doi:10.1109/infcom.2013.6567084

Cited by 101 publications

(66 citation statements)

References 9 publications

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“…In CRNs, the number of SUs is always assumed to be much more larger than available channels, and this assumption relies on the increasing service of wireless communication demand. Compared to the scheme proposed in [13], the LP-p CA scheme proposed in this paper has the following advantages. Firstly, random sequence matching ensures that the legitimate SUs can successfully pass authentication process without identity privacy leakage; thus, SUs can access available channels with temporary tags.…”

Section: Privacy Leakage With Different Parametersmentioning

confidence: 99%

Location Privacy-Preserving Channel Allocation Scheme in Cognitive Radio Networks

Pei

Zhang

2016

International Journal of Distributed Sensor Networks

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As participants of intelligent networks, secondary users should first act as sensors to detect wireless environment to get available spectrum. However, to get more accurate sensing data and access idle spectrum with higher probability in cognitive radio networks, secondary users have to share positions with other entities such as fusion centers, which may raise serious privacy concerns if these positions are not protected adequately. In this paper, to make full use of idle spectrum with low probability of location leakage, we propose a Location Privacy-Preserving Channel Allocation (LP-p CA) scheme. The scheme can conceal identities of secondary users and cut off the relationship between secondary users' location and register data in database (DB) while using random sequence and self-coexistence mechanism of agents. Simulations show that the proposed scheme can satisfy users' personal location privacy concerns and maximize spectrum utility synchronously.

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Section: Privacy Leakage With Different Parametersmentioning

confidence: 99%

Location Privacy-Preserving Channel Allocation Scheme in Cognitive Radio Networks

Pei

Zhang

2016

International Journal of Distributed Sensor Networks

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“…Regardless, once the fog client brings into play computing resources from various fog nodes in an extent, its region can come down to a little region, since its region must be in the intersection purpose of the different fog nodes coverage's or ranges. By bringing into play procedure of [Gao et al, 2013] we can preserve the region security in such circumstances.…”

Section: Confidentiality or Privacymentioning

confidence: 99%

Privacy and Security Problems in Fog Computing

Khalid¹

2016

CAE

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Fog Computing is a term made by Cisco that insinuates extending cloud computing to the edge of a network. Generally called Edge Computing or preliminaries, fog computing supports the operation of Fog/cloud, storage and networking services between end devices and conveyed processing data centers. Fog computing is a gifted computing perspective that extends cloud computing to the edge of frameworks/networks. Like cloud computing however with specific characteristics, fog computing faces new-fangled security and assurance defies other than those procured from cloud computing. We have reviewed these defies/concerns and prospective plans briefly in this paper.

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“…Although the research on maritime scenario is still in the early stage, the counterparts on land-based network could provide a solid foundation for our work [14][15][16][17][18][19][20][21][22]. In [23], the authors studied the broadcast scheduling issue with minimum latency and redundancy analysis for cognitive radio networks, which could significantly improve the existing performance of latency and redundancy for CRNs.…”

Section: Related Workmentioning

confidence: 99%

Cooperative Networking towards Maritime Cyber Physical Systems

Yang

Feng

Yang

et al. 2016

International Journal of Distributed Sensor Networks

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An innovative paradigm named Cooperative Cognitive Maritime Cyber Physical Systems (CCMCPSs) is developed to achieve highspeed and low-cost communication services. The analysis of the available white space at sea, as well as the framework, is presented. Specifically, a bilevel game with two stages of PUs-to-SUs (primary users to secondary users) and SUs-to-SUs is proposed, to address the resource allocation issue of Decode-and-Forward (DF) relay mode with maximal-ratio combining (MRC) receiving mode in destination. Stackelberg game with priority is employed between PU and SUs, while a symmetrical system model is considered among SUs-to-SUs. The game theoretic procedure that converges to Nash equilibrium based on the utility and payoff function is illustrated. Simulation results demonstrate that our proposed strategy could effectively increase the throughput as well as the payoffs of the system.

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Location privacy in database-driven Cognitive Radio Networks: Attacks and countermeasures

Cited by 101 publications

References 9 publications

Location Privacy-Preserving Channel Allocation Scheme in Cognitive Radio Networks

Location Privacy-Preserving Channel Allocation Scheme in Cognitive Radio Networks

Privacy and Security Problems in Fog Computing

Cooperative Networking towards Maritime Cyber Physical Systems

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