Double Cache Approach with Wireless Technology for Preserving User Privacy

Abstract

Several methods use cache for decreasing the number of connections to protect privacy of user data and improve performance in Location Based Services (LBS). Many of these methods require users to trust other users or third parties, which could be servers. An intruder could be disguised as a user or a third party. In this article, we propose a new method, known as “Double Cache Approach”, which uses a pair of caches to reduce the vulnerability of trust between users or third party and offers a vast improvement in privacy and security of user data in healthcare and other applications that use LBS. This approach divides the area into many cells and manages the cooperation among users within two caches at the access point with wireless communication. To demonstrate the superiority, we also provide simulation results of user queries, comparing the proposed method with those using only one cache. We believe that our approach would solve the trust problem optimally, achieve a comprehensive protection for users’ data, and enhance the privacy and security levels.

A Double Obfuscation Approach for Protecting the Privacy of IoT Location Based Applications

“…The Double Cache Approach (DCA) uses two parts of the cache within the access point; the first part exchanges the queries between the peers whilst the second part stores the results of these queries [40]. This approach attempts to overcome the trust factor between the peers by shifting it to the access point.…”

“…In essence, the Double Obfuscation Approach (DOA) integrates the Obfuscation and TTP approaches, with other techniques namely fog cache and mix-zone to achieve better protection for the users than when each approach is used separately. Our approach is then validated against three modern hybrid techniques, which are used as a comparison benchmark, namely the Enhanced Cache [38], P2PCache [39], and DCA Double Cache [40].…”

“…This research presents the simulation results through comparative figures of the aforementioned privacy and performance metrics with a particular focus on the DOA, Enhanced-Cache [38], P2PCache [39], and DCA approach [40]. Microsoft Visual Studio 2015, SQL-Server 2012, and Microsoft Excel 2016 were used to simulate the experiment.…”

“…In the DOA, DCA, and P2PCache the number of queries is considerably less than the number that was sent to the SP due to the use of the cache of the fog nodes. In the worst case scenario, the number of queries will be the same as the number of requested queries because there is no need to use dummies in the proposed technology [38][39][40].…”

“…This means that the SP is unable to create true historical data for the users using these approaches. However, the DOA is considered superior because there is no need to trust the TP as opposed to the P2Pcache or DCA approaches [38][39][40]. Using the DOA, DCA, and P2PCache approaches, the user does not connect directly to the SP, resulting in maximum protection of the user privacy.…”