智能交通系統(tǒng)的主要目的是通過提供與交通管理相關(guān)的創(chuàng)新應(yīng)用和服務(wù)來提高道路安全性,使用戶能夠更好地了解實(shí)時(shí)的交通情況,避開擁堵,減少事故發(fā)生概率等,從而更安全、更協(xié)調(diào)地駕駛汽車。目前已經(jīng)部署了幾種技術(shù)來維護(hù)和推廣智能交通系統(tǒng)（ITS）,包括嵌入式系統(tǒng)集成、傳統(tǒng)云計(jì)算資源管理技術(shù)的部署。這使得車載云計(jì)算（VCC）較早地被提出,VCC是一種從車載自組織網(wǎng)絡(luò)（VANET）發(fā)展而來的概念,并以自主方式形成,從而為智能交通系統(tǒng)的所有參與者提供廣泛的應(yīng)用和服務(wù)。物聯(lián)網(wǎng)（IoT）的出現(xiàn)使得大規(guī)模移動設(shè)備之間的互連和通信成為可能,這些設(shè)備產(chǎn)生了大量異構(gòu)數(shù)據(jù),稱為數(shù)據(jù)爆炸。也就是說,盡管云計(jì)算已經(jīng)成為處理和存儲這些數(shù)據(jù)的有效方式,但是,對實(shí)時(shí)或?qū)ρ舆t敏感的應(yīng)用程序的需求不斷增加以及網(wǎng)絡(luò)帶寬的限制等挑戰(zhàn)仍然無法通過使用傳統(tǒng)云計(jì)算來解決。為了解決上述問題,提出了一種稱為“車載霧計(jì)算（VFC）”的新范例。車載霧計(jì)算被提出通過將傳統(tǒng)的車載云服務(wù)移動到邊緣節(jié)點(diǎn)來加速計(jì)算和存儲。車輛霧服務(wù)（VFS）通過在道路上提供更高的安全性和許多需要較少延遲的應(yīng)用（如交通管理等）來滿足上述需求。這種新模式可能面臨與安全和隱私相關(guān)的... 

【文章來源】：北京交通大學(xué)北京市211工程院校教育部直屬院校

【文章頁數(shù)】：94 頁

【學(xué)位級別】：碩士

【文章目錄】：
致謝
英文摘要
摘要
序言
奉獻(xiàn)
縮寫詞列表 LIST OF ABBREVIATIONS
1 INTRODUCTION
    1.1 MOTIVATION
    1.2 PROBLEMS
    1.3 METHODOLOGY
    1.4 OBJECTIVES AND CONTRIBUTIONS
    1.5 THESIS ORGANIZATION
2 BACKGROUND KNOWLEDGE
    2.1 OVERVIEW OF VEHICULAR AD HOC NETWORKS
        2.1.1 Classification of Ad Hoc Networks
        2.1.2 Vehie Ad Hoc Network(VANET)
        2.1.3 Vehicular Network Architecture
        2.1.4 Characteristics
        2.1.5 Security and Privacy Challenges
        2.1.6 Classification of Attacks
    2.2 AN OVERVIEW OF VEHICLE FOG COMPUTING
        2.2.1 Vehicular Fog Computing Architecture
        2.2.2 Cloud Servers
        2.2.3 RSUs as Fog nodes
        2.2.4 Vehicles
        2.2.5 Vehicular Fog Computing Applications
        2.2.6 VFC Security and Privacy Challenges
        2.2.7 Security Requirements
    2.3 APPLIED CRYPTOGAPHY TO VFS
        2.3.1. Basics Security Concepts
        2.3.2. A Brief Introduction to Cryptography
        2.3.3. Cryptography Schemes
    2.4 LATTICE-BASED CRYPTOGRAPHY
        2.4.1 Overview of Post-Quantum Cryptography
        2.4.2 Lattice-Based Cryptography
        2.4.3 Definition
        2.4.4 Hard Lattice Problems
        2.4.5 Learning With Errors (LWE)
        2.4.6 Ring Learning With Errors (RLWE)
    2.5 CONCLUSION
3 RELATED WORK
    3.1. RING LEARNING WITH ERROR-BASED PASSWORD AUTHENTICATED KEY EXCHANGE(RLWE-PAK)
    3.2. ATTACK MODELS AND SECURITY REQUIREMENTS
    3.3. AUTHENTICATION SCHEMES IN VANETS AND VFC
        3.3.1. Authentication Schemes in VANETS
        3.3.2. Authentication Schemes in Vehicular Fog Computing (VFC)
    3.4. CONCLUSION
4 PRIVACY-PRESERVING AUTHENTICATION APPROACH FOR ACCESSINGVEHICLE FOG SERVICE
    4.0 LIGHTWEIGHT CERTIFICATELESS ANONYMOUS AUTHENTICATION MECHANISM
        4.0.1 System Model
        4.0.2 System Mechanism
    4.1 V2IAuthentication Process
        4.1.1 Phase-Ⅰ: Registration Phase
        4.1.2 Phase-Ⅱ: Initialization Phase
        4.1.3 Phase-Ⅲ: V2I Authentication Phase
        4.1.4 Phase-Ⅳ: Revocation and Tracing Phase
    4.2 RESULT ANALYSIS OF LNCA
        4.2.1 Security Analysis of our Protocol
        4.2.2 Fundamental Security Analysis
    4.3 SVO-BASED FORMAL ANALYSIS OF MUTUAL AUTHENTICATION
        4.3.1 Grammatical components ofSVO logic
        4.3.2 Initial Assumptions
    4.4 Performance Analyis
        4.4.1 Computation and Communication Overheads
        4.4.2 Initialization Phase
        4.4.3 V2I Verification Phase
        4.4.4 Storage Overheads of TA,OBU and RSU
        4.4.5 Simulation of Verification Phase
5 CONCLUSION AND FUTURE WORK
    5.1 SUMMARY
    5.2 FUTURE WORK
        5.2.1 Designing the V2X Secure communication
        5.2.2 Differential Privacy in Fog Computing Service
參考文獻(xiàn) REFERENCES
作者簡歷及攻讀碩士/博士學(xué)位期間取得的研究成果 AUTHOR PROFILE AND RESEARCH ACHIEVEMENTS OBTAINNED DURING THESTUDY FOR A MASTER'S/DOCTORAL DEGREE
學(xué)位論文數(shù)據(jù)集 DATASET FOR THE MASTER'S THESIS



本文編號：3638208