Abstract
A Vehicular Ad-hoc Network (VANET) is a type of Mobile Ad-hoc Network (MANET) that is used to provide communications between nearby vehicles, and between vehicles and fixed infrastructure on the roadside. VANET is not only used for road safety and driving comfort but also for infotainment. Communication messages in VANET can be used to locate and track vehicles. Tracking can be beneficial for vehicle navigation using Location Based Services (LBS). However, it can lead to threats on location privacy of vehicle users; since it can profile them and track their physical location. Therefore, to successfully deploy LBS, user's privacy is one of major challenges that must be addressed. In this paper, we propose Privacy-Preserving Fully Homomorphic Encryption over Advanced Encryption Standard (P 2 FHE-AES) scheme for LBS query. This scheme is required for location privacy protection to encourage drivers to use this service without any risk of being pursued. It is implemented using Network Simulator (NS-2), Simulation of Urban Mobility (SUMO), and Cloud simulation (CloudSim). Analysis and evaluation results demonstrate that P 2 FHE-AES scheme can preserve the privacy of the drivers' future routes in an efficient and secure way. The results prove the feasibility and efficiency of P 2 FHE-AES scheme in terms of query's response time, query accuracy, throughput and query overhead.
Highlights
Nowadays, significant time and gas are wasted every day as a result of traffic congestion and slow traffic
In this paper we propose Privacy-Preserving Fully Homomorphic Encryption over Advanced Encryption Standard (P2FHE-AES) scheme for Location Based Services (LBS) query. It is based on improving Fully Homomorphic Encryption (FHE) over Advanced Encryption Standard (AES) to avoid noise concatenating with encrypted message; which results when using FHE alone
SYSTEM MODEL In our system model, we mainly focus on how LBS provider (LBSP) offers accurate and efficient service to users’ vehicles based on vehicular ad hoc network (VANET) system and satisfy privacy-preserving location data
Summary
Significant time and gas are wasted every day as a result of traffic congestion and slow traffic. LBSP will provide services taking into consideration information about the vehicle, like it’s speed and the license plate number in order to answer the vehicle’s request effectively. In this paper we propose Privacy-Preserving Fully Homomorphic Encryption over Advanced Encryption Standard (P2FHE-AES) scheme for LBS query. It is based on improving Fully Homomorphic Encryption (FHE) over Advanced Encryption Standard (AES) to avoid noise concatenating with encrypted message; which results when using FHE alone. In P2FHE-AES scheme, the LBSP’s data are outsourced to the cloud server in an encrypted manner, and a registered vehicle user can get accurate LBS query results without divulging his/her location information to the LBSP, RSU or the cloud server.
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