A secure handshake scheme with pre-negotiation for mobile-hierarchy city intelligent transportation system under semi-honest model

Abstract

Abstract-Mobile-hierarchy architecture was widely adopted for query a deployed wireless sensor network in an intelligent transportation system recently. Secure handshake among mobile node and ordinary nodes becomes an important part of an intelligent transportation system. For dividing virtual communication area, pre-negotiation should be conducted between mobile node and ordinary node before formal handshake. Pre-negotiation among nodes can increase the odds for a successful handshake. The mobile node negotiates with an ordinary sensor node over an insecure communication channel by private set intersection. As an important handshake factor, Attribute set is negotiated privately among them in local side. In this paper, a secure handshake scheme with pre-negotiation for mobile-hierarchy city intelligent transportation system under semi-honest model is proposed. Keywords-Attribute-based handshake; Private set intersection;Intelligent transportation system; Wireless sensor network; Attribute Encryption I. INTRODUCTIONThe significant advances in hardware manufacturing technology and the advent of the Micro-Electro-MechanicalSwitches (MEMS) paved the way for building smart sensor nodes that are capable of performing three important functions: sensing, processing, and wireless communication. In order to fundamentally solve traffic jam, parking and emergency traffic problem, intelligent transportation systems (ITS) is proposed. ITS is an advanced information technology, data communication transmission technology, electronic sensor technology, control technology and the effective integration of computer technology applied to the entire surface traffic management system. The typical ITS handles the multimedia information, current state attributes and communication functions.A multi-agent system that carries out the mixed integer programming model and the space-time network flow model was proposed by Shah et al., wherein each agent can decide on its own behavior for the situation of its environment [1]. A solution for solving the problem of congestion and traffic management was proposed by Ameur et al., which based on