SDN based communications privacy-preserving architecture for VANETs using fog computing

Abstract Vehicular Ad-hoc Networks (VANETs) have become the one of the most, reassuring, encouraging and the quickest developing subsets of Mobile Ad-hoc Networks (MANETs). They are involved smart vehicles, On-board Units (OBUs), and Roadside Units (RSUs) which convey by the temperamental wireless media. Other than lacking frameworks, forwarding elements move with various speeds. Hence, this postpones setting up dependable start to finish correspondence ways and having the proficient on the information move. As such, VANETs have the differing framework concerns and security troubles in getting the openness of universal accessibility, secure correspondence, exchanges, and notoriety the executives framework which impact the trust in coordinated effort and game plan between convenient frameworks. A new VANETs structure for secure communications is offered, and it contains two sub modules, the Software Defined Network (SDN) and the Fog Computing (FC). The SDN provides scalability, programmability complaisance, and the global information about the network, while the FC provides sensitive and location-aware services that meet future VANETs requirements. Additionally, we used the HABE encryption method to provide central security and offers secure and reliable communication. The proposed framework can address major VANETs problems by delivering Vehicle to Infrastructure (V2I) and Vehicle to Vehicle (V2V) communications. In this work, we demonstrated the communication example as well as the use case examples. We provide communication and computation performance along with security analysis. We provide the simulation results, in which we calculate the communication delays and the probability density function, and also compute the moving and running time with respect to the communication radius, that shows the method performs outclass for V2V and the V2I communications in terms of running time, moving distance, communication delays, storage, communication load and responce time.

[1]  Muhammad Arif,et al.  SDN-Based Secure VANETs Communication with Fog Computing , 2018, SpaCCS.

[2]  Frank van Lingen,et al.  The Unavoidable Convergence of NFV, 5G, and Fog: A Model-Driven Approach to Bridge Cloud and Edge , 2017, IEEE Communications Magazine.

[3]  Thierry Turletti,et al.  A Survey of Software-Defined Networking: Past, Present, and Future of Programmable Networks , 2014, IEEE Communications Surveys & Tutorials.

[4]  Muhammad Arif,et al.  Track me if you can? Query Based Dual Location Privacy in VANETs for V2V and V2I , 2018, 2018 17th IEEE International Conference On Trust, Security And Privacy In Computing And Communications/ 12th IEEE International Conference On Big Data Science And Engineering (TrustCom/BigDataSE).

[5]  Enzo Baccarelli,et al.  Energy-Efficient Adaptive Resource Management for Real-Time Vehicular Cloud Services , 2019, IEEE Transactions on Cloud Computing.

[6]  Mohsen Guizani,et al.  Bus-Trajectory-Based Street-Centric Routing for Message Delivery in Urban Vehicular Ad Hoc Networks , 2018, IEEE Transactions on Vehicular Technology.

[7]  Sherali Zeadally,et al.  VANET-cloud: a generic cloud computing model for vehicular Ad Hoc networks , 2015, IEEE Wireless Communications.

[8]  Thierry Turletti,et al.  The case for software-defined networking in heterogeneous networked environments , 2012, CoNEXT Student '12.

[9]  Umberto Ferraro Petrillo,et al.  SPEECH: Secure Personal End-to-End Communication with Handheld , 2006, ISSE.

[10]  Arun Kumar Sangaiah,et al.  Energy-Efficient and Trustworthy Data Collection Protocol Based on Mobile Fog Computing in Internet of Things , 2020, IEEE Transactions on Industrial Informatics.

[11]  Xi Zheng,et al.  Crowdsourcing Mechanism for Trust Evaluation in CPCS Based on Intelligent Mobile Edge Computing , 2019, ACM Trans. Intell. Syst. Technol..

[12]  Samee Ullah Khan,et al.  Potentials, trends, and prospects in edge technologies: Fog, cloudlet, mobile edge, and micro data centers , 2018, Comput. Networks.

[13]  Chun-Ta Li,et al.  A secure and efficient communication scheme with authenticated key establishment and privacy preserving for vehicular ad hoc networks , 2008, Comput. Commun..

[14]  Mario Gerla,et al.  Vehicular cloud networking: architecture and design principles , 2014, IEEE Communications Magazine.

[15]  Hanumat Sastry,et al.  A Review on VANET Routing Protocols and Wireless Standards , 2018 .

[16]  Jelena V. Misic,et al.  Security and Privacy of Connected Vehicular Cloud Computing , 2018, IEEE Netw..

[17]  Vincenzo Mancuso,et al.  An SDN-Based Network Architecture for Extremely Dense Wireless Networks , 2013, 2013 IEEE SDN for Future Networks and Services (SDN4FNS).

[18]  Mingzhe Jiang,et al.  Exploiting smart e-Health gateways at the edge of healthcare Internet-of-Things: A fog computing approach , 2018, Future Gener. Comput. Syst..

[19]  Hwee Pink Tan,et al.  Sensor OpenFlow: Enabling Software-Defined Wireless Sensor Networks , 2012, IEEE Communications Letters.

[20]  E. A. Mary Anita,et al.  Secure Vehicular Communication Using ID Based Signature Scheme , 2018, Wirel. Pers. Commun..

[21]  Mohsen Guizani,et al.  Software-Defined Networking for RSU Clouds in Support of the Internet of Vehicles , 2015, IEEE Internet of Things Journal.

[22]  Song Guo,et al.  Chameleon Hashing for Secure and Privacy-Preserving Vehicular Communications , 2014, IEEE Transactions on Parallel and Distributed Systems.

[23]  Rui L. Aguiar,et al.  IEEE 802.21-enabled Entity Title Architecture for handover optimization , 2014, 2014 IEEE Wireless Communications and Networking Conference (WCNC).

[24]  Mario Gerla,et al.  Service Migration from Cloud to Multi-tier Fog Nodes for Multimedia Dissemination with QoE Support , 2018, Sensors.

[25]  Muhammad Arif,et al.  High-accuracy localization for indoor group users based on extended Kalman filter , 2018, Int. J. Distributed Sens. Networks.

[26]  Jintao Li,et al.  Data-driven software defined network attack detection : State-of-the-art and perspectives , 2020, Inf. Sci..

[27]  Edmundo Roberto Mauro Madeira,et al.  Traffic management systems: A classification, review, challenges, and future perspectives , 2017, Int. J. Distributed Sens. Networks.

[28]  Mario Gerla,et al.  Toward software-defined battlefield networking , 2016, IEEE Communications Magazine.

[29]  Edison Pignaton de Freitas,et al.  Combining Software-Defined and Delay-Tolerant Approaches in Last-Mile Tactical Edge Networking , 2017, IEEE Communications Magazine.

[30]  Guojun Wang,et al.  Detection of hidden data attacks combined fog computing and trust evaluation method in sensor‐cloud system , 2018, Concurr. Comput. Pract. Exp..

[31]  Gang Chen,et al.  A Scalable Approach to SDN Control Plane Management: High Utilization Comes With Low Latency , 2020, IEEE Transactions on Network and Service Management.

[32]  Giuseppe Cattaneo,et al.  SECR3T: Secure End-to-End Communication over 3G Telecommunication Networks , 2011, 2011 Fifth International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing.

[33]  Piero Castoldi,et al.  TelcoFog: A Unified Flexible Fog and Cloud Computing Architecture for 5G Networks , 2017, IEEE Communications Magazine.

[34]  Guojun Wang,et al.  Cloud-based service oriented architecture for social vehicular ad hoc network communications , 2020 .

[35]  Craig Gentry,et al.  Hierarchical ID-Based Cryptography , 2002, ASIACRYPT.

[36]  Qun Li,et al.  A Survey of Fog Computing: Concepts, Applications and Issues , 2015, Mobidata@MobiHoc.

[37]  Weijia Jia,et al.  Coupling resource management based on fog computing in smart city systems , 2019, J. Netw. Comput. Appl..

[38]  Hui Li,et al.  Efficient Privacy-Preserving Authentication for Vehicular Ad Hoc Networks , 2014, IEEE Transactions on Vehicular Technology.

[39]  Sherali Zeadally,et al.  Vehicular delay-tolerant networks for smart grid data management using mobile edge computing , 2016, IEEE Communications Magazine.

[40]  Lisandro Zambenedetti Granville,et al.  Software-defined networking: management requirements and challenges , 2015, IEEE Communications Magazine.

[41]  Samir Tohmé,et al.  Multi-level SDN with vehicles as fog computing infrastructures: A new integrated architecture for 5G-VANETs , 2018, 2018 21st Conference on Innovation in Clouds, Internet and Networks and Workshops (ICIN).

[42]  Jie Wu,et al.  Hierarchical attribute-based encryption and scalable user revocation for sharing data in cloud servers , 2011, Comput. Secur..

[43]  Chunxiao Chigan,et al.  On Joint Privacy and Reputation Assurance for Vehicular Ad Hoc Networks , 2014, IEEE Transactions on Mobile Computing.

[44]  Jaime Lloret,et al.  Software defined networks for traffic management in emergency situations , 2018, 2018 Fifth International Conference on Software Defined Systems (SDS).

[45]  Tariq Mahmood,et al.  Cloud Computing and its Environmental Effects , 2015 .

[46]  Nick McKeown,et al.  OpenFlow: enabling innovation in campus networks , 2008, CCRV.

[47]  Md Zakirul Alam Bhuiyan,et al.  A survey on security attacks in VANETs: Communication, applications and challenges , 2019, Veh. Commun..

[48]  Ying Ding,et al.  Blockchain-Based Secure and Trustworthy Internet of Things in SDN-Enabled 5G-VANETs , 2019, IEEE Access.

[49]  Marco Fiore,et al.  Securing Warning Message Dissemination in VANETs Using Cooperative Neighbor Position Verification , 2015, IEEE Transactions on Vehicular Technology.

[50]  Yacine Ghamri-Doudane,et al.  Software defined networking-based vehicular Adhoc Network with Fog Computing , 2015, 2015 IFIP/IEEE International Symposium on Integrated Network Management (IM).

[51]  Izhak Rubin,et al.  LTE floating car data application off-loading via VANET driven clustering formation , 2016, 2016 12th Annual Conference on Wireless On-demand Network Systems and Services (WONS).

[52]  Subir Halder,et al.  Building Intelligent Systems for Smart Cities: Issues, Challenges and Approaches , 2018 .

[53]  Ning Lu,et al.  Soft-defined heterogeneous vehicular network: architecture and challenges , 2015, IEEE Network.

[54]  Vijay Sivaraman,et al.  Responsive high throughput congestion control for interactive applications over SDN-enabled networks , 2018, Comput. Networks.

[55]  Sherali Zeadally,et al.  Sensor Technologies for Intelligent Transportation Systems , 2018, Sensors.

[56]  Guojun Wang,et al.  Optimization of communication in VANETs using fuzzy logic and artificial Bee colony , 2020, J. Intell. Fuzzy Syst..

[57]  Mawloud Omar,et al.  Secure and efficient pseudonymization for privacy-preserving vehicular communications in smart cities , 2020, Comput. Electr. Eng..

[58]  Giovanni Pau,et al.  Content distribution in VANETs , 2014, Veh. Commun..

[59]  Pero Latkoski,et al.  Handover analysis of openflow-based mobile networks with distributed control plane , 2020, Comput. Electr. Eng..

[60]  Muhammad Arif,et al.  Deep Learning with Non-parametric Regression Model for Traffic Flow Prediction , 2018, 2018 IEEE 16th Intl Conf on Dependable, Autonomic and Secure Computing, 16th Intl Conf on Pervasive Intelligence and Computing, 4th Intl Conf on Big Data Intelligence and Computing and Cyber Science and Technology Congress(DASC/PiCom/DataCom/CyberSciTech).

[61]  Jon M. Peha,et al.  Cost-Effectiveness of Sharing Roadside Infrastructure for Internet of Vehicles , 2018, IEEE Transactions on Intelligent Transportation Systems.

[62]  Yu Cheng,et al.  A Distributed Key Management Framework with Cooperative Message Authentication in VANETs , 2011, IEEE Journal on Selected Areas in Communications.

[63]  Dijiang Huang,et al.  PACP: An Efficient Pseudonymous Authentication-Based Conditional Privacy Protocol for VANETs , 2011, IEEE Transactions on Intelligent Transportation Systems.

[64]  Guojun Wang,et al.  SDN-based VANETs, Security Attacks, Applications, and Challenges , 2020, Applied Sciences.

[65]  Charles C. Byers,et al.  Architectural Imperatives for Fog Computing: Use Cases, Requirements, and Architectural Techniques for Fog-Enabled IoT Networks , 2017, IEEE Communications Magazine.

[66]  K. B. Letaief,et al.  A Survey on Mobile Edge Computing: The Communication Perspective , 2017, IEEE Communications Surveys & Tutorials.

[67]  Jie Wu,et al.  Hierarchical attribute-based encryption for fine-grained access control in cloud storage services , 2010, CCS '10.

[68]  Ibrahim Matta,et al.  Autonomic Communications in Software-Driven Networks , 2017, IEEE Journal on Selected Areas in Communications.

[69]  Guojun Wang,et al.  Secure VANETs: Trusted Communication Scheme Between Vehicles and Infrastructure Based on Fog Computing , 2019, Studies in Informatics and Control.

[70]  Eduardo Cerqueira,et al.  FOX: A traffic management system of computer-based vehicles FOG , 2016, 2016 IEEE Symposium on Computers and Communication (ISCC).

[71]  Mohamed F. Younis,et al.  Privacy-Preserving Route Reporting Schemes for Traffic Management Systems , 2017, IEEE Transactions on Vehicular Technology.

[72]  Xiaoyan Zhu,et al.  An Efficient Anonymous Batch Authentication Scheme Based on HMAC for VANETs , 2016, IEEE Transactions on Intelligent Transportation Systems.

[73]  Muhammad Arif,et al.  Virtualization Security: Analysis and Open Challenges , 2015 .