Privacy Protection for Mobile Cloud Data: A Network Coding Approach
This addresses privacy risks for mobile cloud users in location-based services, offering an incremental improvement over hash-based pseudonyms.
The paper tackles privacy protection for mobile cloud data by developing a network coding-based pseudonym scheme that defends against both external attackers and untrusted cloud servers, reducing processing time by over 90% and energy consumption by 10% compared to existing methods.
Taking into account of both the huge computing power of intruders and untrusted cloud servers, we develop an enhanced secure pseudonym scheme to protect the privacy of mobile cloud data. To face the huge computing power challenge, we develop an unconditionally secure lightweight network coding pseudonym scheme. For the privacy issue of untrusted cloud server, we further design a two tier network coding to decouple the stored mobile cloud data from the owner pseudonyms. Therefore, our proposed network coding based pseudonym scheme can simultaneously defend against attackers from both outside and inside. We implement our proposed two-tier light-weight network coding mechanism in a group location based service (LBS) using untrusted cloud database. Compared to computationally secure Hash-based pseudonym, our proposed scheme is not only unconditionally secure, but also can reduce more than 90 percent of processing time as well as 10 percent of energy consumption.