Secure and Reliable Techniques for Smart Transportation Communications

DC Field Value Language
dc.contributor.advisorTaeshik Shon-
dc.contributor.authorSania, Yaqoob-
dc.date.accessioned2018-11-08T08:04:56Z-
dc.date.available2018-11-08T08:04:56Z-
dc.date.issued2013-08-
dc.identifier.other15063-
dc.identifier.urihttps://dspace.ajou.ac.kr/handle/2018.oak/10249-
dc.description학위논문(석사)아주대학교 일반대학원 :컴퓨터공학과,2013. 8-
dc.description.tableofcontentsACKNOWLEDGEMENTS 2 ABSTRACT 3 TABLE OF CONTENTS 5 LIST OF FIGURES 5 LIST OF TABLES 7 1 Introduction 8 2 Related Works 13 2.1 DSA Signature 13 2.2 Batch Authentication 15 2.2 Load management 20 3 Existing Security schemes and their Comparison 21 3.1 Hybrid Authentication Protocol[18]: 22 3.2 Batch Authentication protocol for V2G Communication [1]: 24 3.3 Implicit Certificates support in IEEE 1609 Security services for wireless access in vehicular Environment (WAVE)[11](Non-Interactive) 25 4 Comparison 27 5 Motivation 29 6 Proposed Authentication Scheme 30 6.1 New Architecture 30 6.1.1 Active Mode 34 6.1.2 Passive Mode 34 6.1.3 Reactive Mode 35 7 Proposed Aggregator network and Load management criteria 36 8 Illustration of Results by simulation using Hybrid Scheme 41 8.1 Setup 41 8.2 Authentication Delay 42 8.3 Load Management Simulation 45 9 Conclusion 46 10 Future Works 47 11 References 48-
dc.language.isoeng-
dc.publisherThe Graduate School, Ajou University-
dc.rights아주대학교 논문은 저작권에 의해 보호받습니다.-
dc.titleSecure and Reliable Techniques for Smart Transportation Communications-
dc.typeThesis-
dc.contributor.affiliation아주대학교 일반대학원-
dc.contributor.department일반대학원 컴퓨터공학과-
dc.date.awarded2013. 8-
dc.description.degreeMaster-
dc.identifier.localId571067-
dc.identifier.urlhttp://dcoll.ajou.ac.kr:9080/dcollection/jsp/common/DcLoOrgPer.jsp?sItemId=000000015063-
dc.description.alternativeAbstractSmart grid and Electric Vehicles (EVs) network is an example of the typical distributed network with heterogeneous systems. It has very strong requirement of robust and secure method of communication. Deployment of such efficient and secure communication scheme in this network is a very challenging task. From time to time EVs need to coordinate with smart grid and other entities specially, aggregators in network for charging/discharging purposes. For the security and integrity of this communication, a reliable and efficient authentication scheme is essential. Main problems for such networks are the application of security schemes in such complex distributed system when the number of EVs is very high and the load management of aggregators in the system. These issues are complicated because as the number of EVs becomes high, then the authentication delays increases and so as the load on aggregator for charging. These issues should be addressed in an efficient way otherwise the delay for authentication becomes intolerable for customers. Communication traffic and computational delay also increases in case of peak traffic time. If a certain method for authenticating large number of EVs is devised, the load for charging huge number of authenticated EVs in short time is difficult. Therefore, in order to reduce these service degrading factors, we have proposed a hybrid authentication and load management scheme for aggregators to deal with any number of EVs and load based on a distributed power control network. The proposed authentication scheme consists of the use of digital signature algorithm and batch authentication scheme. The hybrid algorithm based on these schemes makes the aggregators in the network to work in different modes based on amount of traffic in the network which results in lesser authentication delay and communication traffic as compared to when these two authentication schemes were used separately. Also we devised a novel scheme which deals with excessive load conditions in aggregators and distributes the load in an excellent manner among all aggregators in the network. In this way we achieve a novel and better strategy for uniformly distributed charging load on aggregator, secure and efficient authentication and communication in distributed power control network.-
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Graduate School of Ajou University > Department of Computer Engineering > 3. Theses(Master)
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