CRNov 3, 2021

Differential Privacy in Cognitive Radio Networks: A Comprehensive Survey

arXiv:2111.02011v219 citations
AI Analysis

This is a survey paper, so it is incremental, summarizing existing research rather than presenting new findings.

The paper addresses privacy leakage in cognitive radio networks, where users' personal information can be compromised during data sharing, and identifies differential privacy as a key solution for preserving privacy.

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.

Foundations

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