Improving Privacy and Security of User Data in Location Based Services

Improving Privacy and Security of User Data in Location Based Services

Mohammad Yamin (Department of Management Information Systems, King Abdulaziz University Jeddah, Saudi Arabia) and Adnan Ahmed Abi Sen (Department of Computer Science, King Abdulaziz University, Jeddah, Saudi Arabia)
Copyright: © 2018 |Pages: 24
DOI: 10.4018/IJACI.2018010102
OnDemand PDF Download:
No Current Special Offers


Location Based Services (LBS) expose user data to malicious attacks. Approaches, evolved, so far, for preserving privacy and security, suffer from one or more anomalies, and hence the problem of securing LBS data is far from being resolved. In particular, accuracy of results vs. privacy degree, privacy vs. performance, and trust between users are open problems. In this article, we present a novel approach by integration of peer-to-peer (P2P) with the caching technique and dummies from real queries. Our approach increases efficiency, leads to improved performance, and provides solutions to many problems that have existed in the past. In addition, we offer an improved way of managing cache. Simulation demonstrates superiority of our approach over earlier ones dealing with both the ratio of privacy and that of performance.
Article Preview

Literature Review

Maintaining privacy and keeping data secure has always been a very challenging issue for the IT industry. These issues in the context of big data are thoroughly discussed by Tamane, S., Solanki, V. K., and Dey, N. (2017). In this article, our focus is on the Privacy and security of data in LBS processing, which can be breached by a hacker from outside or within. A hacker could be a user of LBS or server maintenance personnel. Here we summarise the six approaches which have so far been evolved to overcome this threat. A general classification for privacy protection methods including an account of the attacker knowledge is provided by Wernke, Skvortsov, Dürr and Rothermel (2014).

Complete Article List

Search this Journal:
Open Access Articles
Volume 13: 6 Issues (2022): 1 Released, 5 Forthcoming
Volume 12: 4 Issues (2021)
Volume 11: 4 Issues (2020)
Volume 10: 4 Issues (2019)
Volume 9: 4 Issues (2018)
Volume 8: 4 Issues (2017)
Volume 7: 2 Issues (2016)
Volume 6: 2 Issues (2014)
Volume 5: 4 Issues (2013)
Volume 4: 4 Issues (2012)
Volume 3: 4 Issues (2011)
Volume 2: 4 Issues (2010)
Volume 1: 4 Issues (2009)
View Complete Journal Contents Listing