Differential Privacy in Cognitive Radio Networks: A Comprehensive Survey

Abstract

Background/Introduction: Integrating cognitive radio (CR) with traditional wireless networks is helping solve the problem of spectrum scarcity in an efficient manner. The opportunistic and dynamic spectrum access features of CR provide the functionality to its unlicensed users to utilize the underutilized spectrum at the time of need because CR nodes can sense vacant bands of spectrum and can also access them to carry out communication. Various capabilities of CR nodes depend upon efficient and continuous reporting of data with each other and centralized base stations, which in turn can cause leakage in privacy. Experimental studies have shown that the privacy of CR users can be compromised easily during the cognition cycle, because they are knowingly or unknowingly sharing various personally identifiable information (PII), such as location, device ID, signal status, etc. In order to preserve this privacy leakage, various privacy preserving strategies have been developed by researchers, and according to us differential privacy is the most significant among them.

arXiv commentAccepted in Springer Cognitive Computation

References in corpus (9)

• Comprehensive Privacy Analysis of Deep Learning: Passive and Active White-box Inference Attacks against Centralized and Federated Learning
• Differential Privacy for Industrial Internet of Things: Opportunities, Applications and Challenges
• Privacy in Internet of Things: from Principles to Technologies
• Distributed Channel Assignment in Cognitive Radio Networks: Stable Matching and Walrasian Equilibrium
• Proving Differential Privacy via Probabilistic Couplings
• TrustSAS: A Trustworthy Spectrum Access System for the 3.5 GHz CBRS Band
• Preserving the Location Privacy of Secondary Users in Cooperative Spectrum Sensing
• Multi-objective Optimization of Cognitive Radio Networks
• An Efficient Technique for Protecting Location Privacy of Cooperative Spectrum Sensing Users