Bid Privacy Preservation in Matching-Based Multiradio Multichannel Spectrum Trading

Errapotu, Sai Mounika; Wang, Jingyi; Li, Xuanheng; Lu, Zaixin; Li, Wei; Pan, Miao; Han, Zhu

doi:10.1109/tvt.2018.2845798

Cited by 9 publications

(5 citation statements)

References 19 publications

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“…The model has been verified on social networks, but in order to conduct a more thorough investigation, it must also be verified on other networks. There is still another tailored protocol utilized for cognitive radios, according to [21,22]. This protocol maximizes the utility of both parties while protecting their privacy.…”

Section: International Journal On Recent and Innovation Trends In Com...mentioning

confidence: 99%

Empirical Analysis of Privacy Preservation Models for Cyber Physical Deployments from a Pragmatic Perspective

Motghare

Nair

2023

IJRITCC

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The difficulty of privacy protection in cyber-physical installations encompasses several sectors and calls for methods like encryption, hashing, secure routing, obfuscation, and data exchange, among others. To create a privacy preservation model for cyber physical deployments, it is advised that data privacy, location privacy, temporal privacy, node privacy, route privacy, and other types of privacy be taken into account. Consideration must also be given to other types of privacy, such as temporal privacy. The computationally challenging process of incorporating these models into any wireless network also affects quality of service (QoS) variables including end-to-end latency, throughput, energy use, and packet delivery ratio. The best privacy models must be used by network designers and should have the least negative influence on these quality-of-service characteristics. The designers used common privacy models for the goal of protecting cyber-physical infrastructure in order to achieve this. The limitations of these installations' interconnection and interface-ability are not taken into account in this. As a result, even while network security has increased, the network's overall quality of service has dropped. The many state-of-the-art methods for preserving privacy in cyber-physical deployments without compromising their performance in terms of quality of service are examined and analyzed in this research. Lowering the likelihood that such circumstances might arise is the aim of this investigation and review. These models are rated according to how much privacy they provide, how long it takes from start to finish to transfer data, how much energy they use, and how fast their networks are. In order to maximize privacy while maintaining a high degree of service performance, the comparison will assist network designers and researchers in selecting the optimal models for their particular deployments. Additionally, the author of this book offers a variety of tactics that, when used together, might improve each reader's performance. This study also provides a range of tried-and-true machine learning approaches that networks may take into account and examine in order to enhance their privacy performance.

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Section: International Journal On Recent and Innovation Trends In Com...mentioning

confidence: 99%

Empirical Analysis of Privacy Preservation Models for Cyber Physical Deployments from a Pragmatic Perspective

Motghare

Nair

2023

IJRITCC

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“…The UMax protocol has been proposed in [16], wherein, both primary and secondary users simultaneously maximize their utilities while preserving the privacy of their locations. A scheme for ensuring the privacy of bids of SUs has been proposed in [17], wherein, the primary users allocate resources to the non-interfering SUs while maximizing their profit computed on the encrypted bids of the SUs.…”

Section: Related Workmentioning

confidence: 99%

“…P(τ 2 p = α, s v pr = φ|δ, β, )P(s pr = δ|β, ) P(v np = |n v )P(n s , n t , n v |n 0 , s 0 , t 0 ) P(t = t 0 )P(s = s 0 )P(n = n 0 ), (17) where, P(τ p = x) denotes the PMF of τ p , α = x − y, φ = δ − α, and β = τ −y. Given τ 1 np = β and v np = , the conditional PMF of s pr , denoted by P(s pr = δ|β, ), is given by (18), as shown at the bottom of the next page.…”

Section: Snapshot Based Model: Analysismentioning

confidence: 99%

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Preserving Operation Frequency Privacy of Incumbents in CBRS

2022

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Citizens Broadband Radio Service (CBRS) is a novel service band in the United States, spanning 3550 − 3700 MHz, recently opened for commercial cognitive operations. The CBRS has a three tier hierarchical architecture, wherein, the topmost tier users (also called as incumbents) include military radars. The second and third tier facilitate licensed and unlicensed access to the band, respectively. The privacy of incumbents has been a major concern and different schemes have been proposed in the literature to preserve privacy of their location and operation time. However, the privacy of operation frequency of incumbents has not been suitably addressed. The operation frequency of incumbent is vulnerable to inference attacks from the adversary. For instance, an adversary can deduce the operation frequency of incumbent if a compromised device is asked to switch to another channel. Therefore, in this paper, we propose probabilistic usage of dummy incumbents on a channel and analyse the operation frequency privacy of incumbents for snapshot and time based models in the three tier CBRS system. The optimum dummy generation probability is obtained for the snapshot and time based models, varying capabilities of the adversary, and different system parameters. Finally, we verify the proposed results through simulations.INDEX TERMS Citizens broadband radio service (CBRS), military radars, operation frequency privacy, preemptive resume priority queue, spectrum access system (SAS).

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“…4. For the sake of achieving a stable matching between multiple EUs and multiple D2D devices, we analyse the algorithmic stability of the proposed RSWW-OSSS with the aid of matching theory [35].…”

Section: Contributions and Paper Structurementioning

confidence: 99%

A Reciprocal-Selection-Based ‘Win–Win’ Overlay Spectrum-Sharing Scheme for Device-to-Device-Enabled Cellular Network

Shu

Jiao

2018

Algorithms

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This paper proposes a reciprocal-selection-based ‘Win–Win’ overlay spectrum-sharing scheme for device-to-Device-enabled cellular networks to address the resource sharing between Device-to-Device devices and the cellular users by using an overlay approach. Based on the proposed scheme, the cell edge users intend to lease part of its spectrum resource to Device-to-Device transmission pairs. However, the Device-to-Device users have to provide the cooperative transmission assistance for the cell edge users in order to improve the Quality of Service of the uplink transmission from the cell edge users to the base station. Compared to the underlay spectrum-sharing scheme, overlay spectrum-sharing scheme may reduce spectrum efficiency. Hence, Non-Orthogonal Multiple Access technology is invoked at the Device-to-Device transmitter in order to improve the spectrum efficiency. The Stackelberg game is exploited to model the behaviours of the cell edge users and Device-to-Device devices. Moreover, based on matching theory, the cell edge users and Device-to-Device pairs form one-to-one matching and the stability of matching is analysed. The simulation results show that the proposed reciprocal-selection-based ‘Win–Win’ overlay spectrum-sharing scheme is capable of providing considerable rate improvements for both EUs and D2D pairs and reducing transmit power dissipated by the D2D transmitter to forward data for the EU compared with the existing methods.

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Bid Privacy Preservation in Matching-Based Multiradio Multichannel Spectrum Trading

Cited by 9 publications

References 19 publications

Empirical Analysis of Privacy Preservation Models for Cyber Physical Deployments from a Pragmatic Perspective

Empirical Analysis of Privacy Preservation Models for Cyber Physical Deployments from a Pragmatic Perspective

Preserving Operation Frequency Privacy of Incumbents in CBRS

A Reciprocal-Selection-Based ‘Win–Win’ Overlay Spectrum-Sharing Scheme for Device-to-Device-Enabled Cellular Network

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