NTRU Implementation of Efficient Privacy‐Preserving Location‐Based Querying in VANET

Abstract

The key for location-based service popularization in vehicular environment is security and efficiency. However, due to the constrained resources in vehicle-mounted system and the distributed structure of fog computation, disposing of the conflicts between real-time implementation and user's privacy remains an open problem. Aiming at synchronously preserving the position information for users as well as the data proprietorship of service provider, an efficient location-based querying scheme is proposed in this paper. We argue that a recent scheme proposed by Jannati and Bahrak is time-consuming and vulnerable against active adaptive corruptions. Thus accordingly, a postquantum secure oblivious transfer protocol is devised based on efficient NTRU cryptosystem, which then serves as the understructure of a complete location-based querying scheme in ad hoc manner. The security of our scheme is proved under universal composability frame, while performance analysis is also carried out to testify its efficiency.

Reliable data communication using post‐quantum encryption in Internet of Everything

“…In an alternative strategy, Mi et al 21 introduced privacy‐preserving location‐based querying using NTRU for the VANET network. However, the respective model lacks addressing MITM and Sybil attacks.…”

Security Challenges of Location Privacy in VANETs and State-of-the-Art Solutions: A Survey

“…Reference [32] proposed a group-oriented privacy security approach oriented on a post-quantum safe forget transfer protocol, built based on an effective NTRU cryptosystem. Similarly, group-led trust and authentication schemes were also discussed in several other studies [44], each with different methods in addition to maintaining the required location services.…”

“…Trajectory Attack-If a given trajectory is used by an LBS-server recipient to deduce the trajectory [32]. Trajectory assaults will also be carried out even though the user identity has been removes.…”

“…A consumer who has been disguised with other users on several occasions during the query 's lifespan is susceptible to this attack[27]. 8.Trajectory Attack-If a given trajectory is used by an LBS-server recipient to deduce the trajectory[32]. Trajectory assaults will also be carried out even though the user identity has been removes.…”

Attribute Reduction Based on Genetic Algorithm for the Coevolution of Meteorological Data in the Industrial Internet of Things

“…To further analyze the effect of the AECMD algorithm on the performance of meteorological data reduction, the precipitation properties of the data set are reduced with the rough set attribute reduction algorithm based on the Tabu Discrete Particle Swarm Optimization [10,[35][36][37][38][39] (TSDPSO-AR) algorithm. To compare the performance of reduction, the classification of every reduction attribute subset is carried out in the KNN (k-Nearest Neighbor, K=3) classifier.…”