Paper Title
Location Privacy Against Long Term Observation Attack
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Registration ID: IJNRD_204880
Published ID: IJNRD2309044
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Keywords
Location Privacy, Long-term Observation, Geo-indistinguishability, K-anonymity, Expected Inference Error.
Abstract
Mechanisms built upon geo-indistinguishability render location privacy, where a user can submit obfuscated locations to Location-Based Service providers but still be able to correctly utilize services. However, these mechanisms are vulnerable under inference attacks. Particularly, with background knowledge of a user’s obfuscated locations, an attacker can infer actual locations by carrying out long-term observation attacks. Unfortunately, how to defend long-term observation attacks in the field of differential location privacy remains open. In this paper, we first demonstrate the vulnerabilities of existing mechanisms under long-term observation attacks. In light of these vulnerabilities, we devise a novel mechanism, referred to as Eclipse, which bridges the gap between location protection and usability of services. Specifically, we harness geo-indistinguishability and k-anonymity to obfuscate locations and hide each location based on an anonymity set. As a result, our mechanism effectively perturbs the distribution of locations and suppresses leakage under long-term observation attacks. Moreover, the set of possible outputs is utilized to minimize the impacts to usability and correctness. We formally define and rigorously prove the security of the proposed mechanism by leveraging differential privacy. Moreover, we implement the proposed mechanism and conduct a series of experiments on real-world datasets to demonstrate its efficacy and efficiency.
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How To Cite (APA)
S.Suganya & Vijayakumar (September-2023). Location Privacy Against Long Term Observation Attack. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 8(9), a363-a376. https://ijnrd.org/papers/IJNRD2309044.pdf
Issue
Volume 8 Issue 9, September-2023
Pages : a363-a376
Other Publication Details
Paper Reg. ID: IJNRD_204880
Published Paper Id: IJNRD2309044
Research Area: Computer Science & TechnologyÂ
Author Type: Indian Author
Country: kancheepuram, Tamilnadu, india
Published Paper PDF: https://ijnrd.org/papers/IJNRD2309044.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2309044
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