5G Vehicle-to-Everything Services: Gearing Up for Security and Privacy

5G is emerging to serve as a platform to support networking connections for sensors and vehicles on roads and provide vehicle-to-everything (V2X) services to drivers and pedestrians. 5G V2X communication brings tremendous benefits to us, including improved safety, high reliability, large communication coverage, and low service latency. On the other hand, due to ubiquitous network connectivity, it also presents serious trust, security, and privacy issues toward vehicles, which may impede the success of 5G V2X. In this article, we present a comprehensive survey on the security of 5G V2X services. Specifically, we first review the architecture and the use cases of 5G V2X. We also study a series of trust, security, and privacy issues in 5G V2X services and discuss the potential attacks on trust, security, and privacy in 5G V2X. Then, we offer an in-depth analysis of the state-of-the-art strategies for securing 5G V2X services and elaborate on how to achieve the trust, security, or privacy protection in each strategy. Finally, by pointing out several future research directions, it is expected to draw more attention and efforts into the emerging 5G V2X services.

[1]  Mohammed Saeed Al-kahtani,et al.  Survey on security attacks in Vehicular Ad hoc Networks (VANETs) , 2012, 2012 6th International Conference on Signal Processing and Communication Systems.

[2]  Jianbin Hu,et al.  Anonymous Authentication Protocols for Vehicular Ad Hoc Networks: An Overview , 2012 .

[3]  Dario Pompili,et al.  Collaborative Mobile Edge Computing in 5G Networks: New Paradigms, Scenarios, and Challenges , 2016, IEEE Communications Magazine.

[4]  Maxim Raya,et al.  Mix-Zones for Location Privacy in Vehicular Networks , 2007 .

[5]  Ricardo Neisse,et al.  Privacy-preserving attribute-based credentials in cooperative intelligent transport systems , 2017, 2017 IEEE Vehicular Networking Conference (VNC).

[6]  Shengli Xie,et al.  Blockchain for Secure and Efficient Data Sharing in Vehicular Edge Computing and Networks , 2019, IEEE Internet of Things Journal.

[7]  Shengli Xie,et al.  MixGroup: Accumulative Pseudonym Exchanging for Location Privacy Enhancement in Vehicular Social Networks , 2016, IEEE Transactions on Dependable and Secure Computing.

[8]  Xin Wang,et al.  Novel MITM Attacks on Security Protocols in SDN: A Feasibility Study , 2016, ICICS.

[9]  Xuemin Shen,et al.  Connected Vehicles: Solutions and Challenges , 2014, IEEE Internet of Things Journal.

[10]  Pandi Vijayakumar,et al.  EAAP: Efficient Anonymous Authentication With Conditional Privacy-Preserving Scheme for Vehicular Ad Hoc Networks , 2017, IEEE Transactions on Intelligent Transportation Systems.

[11]  Yuguang Fang,et al.  An Identity-Based Security System for User Privacy in Vehicular Ad Hoc Networks , 2010, IEEE Transactions on Parallel and Distributed Systems.

[12]  David Lai,et al.  Preventing man-in-the-middle attack in Diffie-Hellman key exchange protocol , 2015, 2015 22nd International Conference on Telecommunications (ICT).

[13]  Panagiotis Papadimitratos,et al.  On Data-Centric Trust Establishment in Ephemeral Ad Hoc Networks , 2008, IEEE INFOCOM 2008 - The 27th Conference on Computer Communications.

[14]  S. Mercy Shalinie,et al.  SLAMHHA: A supervised learning approach to mitigate host location hijacking attack on SDN controllers , 2017, 2017 Fourth International Conference on Signal Processing, Communication and Networking (ICSCN).

[15]  Yuguang Fang,et al.  A Machine Learning-Based Defensive Alerting System Against Reckless Driving in Vehicular Networks , 2019, IEEE Transactions on Vehicular Technology.

[16]  Zhu Han,et al.  Information theoretic framework of trust modeling and evaluation for ad hoc networks , 2006, IEEE Journal on Selected Areas in Communications.

[17]  Zoe L. Jiang,et al.  A New Payment System for Enhancing Location Privacy of Electric Vehicles , 2014, IEEE Transactions on Vehicular Technology.

[18]  Minglu Li,et al.  Characterizing Urban Vehicle-to-Vehicle Communications for Reliable Safety Applications , 2020, IEEE Transactions on Intelligent Transportation Systems.

[19]  Brijesh Kumar Chaurasia,et al.  Conditional Privacy through Ring Signature in Vehicular Ad-hoc Networks , 2011, Trans. Comput. Sci..

[20]  Xiaodong Lin,et al.  Privacy-Preserving Smart Parking Navigation Supporting Efficient Driving Guidance Retrieval , 2018, IEEE Transactions on Vehicular Technology.

[21]  Pin-Han Ho,et al.  GSIS: A Secure and Privacy-Preserving Protocol for Vehicular Communications , 2007, IEEE Transactions on Vehicular Technology.

[22]  Andrei Gurtov,et al.  Security for 5G and Beyond , 2019, IEEE Communications Surveys & Tutorials.

[23]  Georgia Sakellari,et al.  Cloud-Based Cyber-Physical Intrusion Detection for Vehicles Using Deep Learning , 2018, IEEE Access.

[24]  Dongwoo Kang,et al.  Security analysis and enhanced user authentication in proxy mobile IPv6 networks , 2017, PloS one.

[25]  Frederic Stumpf,et al.  PAL - privacy augmented LTE: a privacy-preserving scheme for vehicular LTE communication , 2013, VANET '13.

[26]  Lei Zhang,et al.  OTIBAAGKA: A New Security Tool for Cryptographic Mix-Zone Establishment in Vehicular Ad Hoc Networks , 2017, IEEE Transactions on Information Forensics and Security.

[27]  Xiaodong Lin,et al.  Sage: a strong privacy-preserving scheme against global eavesdropping for ehealth systems , 2009, IEEE Journal on Selected Areas in Communications.

[28]  Kurt Rothermel,et al.  Towards a Generic Trust Model - Comparison of Various Trust Update Algorithms , 2005, iTrust.

[29]  Rodrigo Roman,et al.  Mobile Edge Computing, Fog et al.: A Survey and Analysis of Security Threats and Challenges , 2016, Future Gener. Comput. Syst..

[30]  Xiaodong Lin,et al.  Efficient and Secure Service-Oriented Authentication Supporting Network Slicing for 5G-Enabled IoT , 2018, IEEE Journal on Selected Areas in Communications.

[31]  David Chaum,et al.  Blind Signatures for Untraceable Payments , 1982, CRYPTO.

[32]  Xiaodong Wang,et al.  Robust Detection of MAC Layer Denial-of-Service Attacks in CSMA/CA Wireless Networks , 2008, IEEE Transactions on Information Forensics and Security.

[33]  Qing Yang,et al.  Toward trustworthy vehicular social networks , 2015, IEEE Communications Magazine.

[34]  Elena Dubrova,et al.  Protecting IMSI and User Privacy in 5G Networks , 2016, MobiMedia.

[35]  Frank Kargl,et al.  Pseudonym Schemes in Vehicular Networks: A Survey , 2015, IEEE Communications Surveys & Tutorials.

[36]  Mate Boban,et al.  Use Cases, Requirements, and Design Considerations for 5G V2X , 2017, ArXiv.

[37]  Carmela Troncoso,et al.  PrETP: Privacy-Preserving Electronic Toll Pricing , 2010, USENIX Security Symposium.

[38]  Emiliano De Cristofaro,et al.  Privacy in content-oriented networking: threats and countermeasures , 2012, CCRV.

[39]  Tarik Taleb,et al.  A Survey on Emerging SDN and NFV Security Mechanisms for IoT Systems , 2019, IEEE Communications Surveys & Tutorials.

[40]  András Kovács,et al.  Enhancements of V2X communication in support of cooperative autonomous driving , 2015, IEEE Communications Magazine.

[41]  Tanesh Kumar,et al.  Overview of 5G Security Challenges and Solutions , 2018, IEEE Communications Standards Magazine.

[42]  Yuguang Fang,et al.  Secure and Privacy-Preserving Report De-duplication in the Fog-Based Vehicular Crowdsensing System , 2018, 2018 IEEE Global Communications Conference (GLOBECOM).

[43]  Hovav Shacham,et al.  Short Group Signatures , 2004, CRYPTO.

[44]  Yun Liu,et al.  Secure Data Storage and Searching for Industrial IoT by Integrating Fog Computing and Cloud Computing , 2018, IEEE Transactions on Industrial Informatics.

[45]  Zhu Han,et al.  A trust evaluation framework in distributed networks: Vulnerability analysis and defense against attacks , 2006, Proceedings IEEE INFOCOM 2006. 25TH IEEE International Conference on Computer Communications.

[46]  Jun Xu,et al.  IP traceback-based intelligent packet filtering: a novel technique for defending against Internet DDoS attacks , 2002, 10th IEEE International Conference on Network Protocols, 2002. Proceedings..

[47]  Siu-Ming Yiu,et al.  VSPN: VANET-Based Secure and Privacy-Preserving Navigation , 2014, IEEE Transactions on Computers.

[48]  Tim Leinmüller,et al.  Trust Issues for Vehicular Ad Hoc Networks , 2008, VTC Spring 2008 - IEEE Vehicular Technology Conference.

[49]  Pin-Han Ho,et al.  ECPP: Efficient Conditional Privacy Preservation Protocol for Secure Vehicular Communications , 2008, IEEE INFOCOM 2008 - The 27th Conference on Computer Communications.

[50]  Ali Kashif Bashir,et al.  On Detection of Sybil Attack in Large-Scale VANETs Using Spider-Monkey Technique , 2018, IEEE Access.

[51]  Li Zhao,et al.  Vehicle-to-Everything (v2x) Services Supported by LTE-Based Systems and 5G , 2017, IEEE Communications Standards Magazine.

[52]  Xiang Zhang,et al.  Partner Selection and Incentive Mechanism for Physical Layer Security , 2015, IEEE Transactions on Wireless Communications.

[53]  Xiaoyan Hong,et al.  Situation-aware trust architecture for vehicular networks , 2010, IEEE Communications Magazine.

[54]  Serap Sahin.  On current trends in security and privacy of cloud computing , 2013, 2013 7th International Conference on Application of Information and Communication Technologies.

[55]  S. Buchegger,et al.  A Robust Reputation System for P2P and Mobile Ad-hoc Networks , 2004 .

[56]  Tianhua Liu,et al.  An Anonymous Communication Scheme based on Ring Signature in VANETs , 2014, ArXiv.

[57]  Miao Pan,et al.  Traffic-aware multiple mix zone placement for protecting location privacy , 2012, 2012 Proceedings IEEE INFOCOM.

[58]  Antonios Argyriou,et al.  Security for 4G and 5G Cellular Networks: A Survey of Existing Authentication and Privacy-preserving Schemes , 2017, J. Netw. Comput. Appl..

[59]  Youngho Park,et al.  Pseudonymous authentication for secure V2I services in cloud-based vehicular networks , 2016, J. Ambient Intell. Humaniz. Comput..

[60]  Jinjun Chen,et al.  External integrity verification for outsourced big data in cloud and IoT: A big picture , 2015, Future Gener. Comput. Syst..

[61]  Jun Li,et al.  Secure and Energy-Efficient Handover in Fog Networks Using Blockchain-Based DMM , 2018, IEEE Communications Magazine.

[62]  Ehab Al-Shaer,et al.  Openflow random host mutation: transparent moving target defense using software defined networking , 2012, HotSDN '12.

[63]  Maxim Raya,et al.  The security of vehicular ad hoc networks , 2005, SASN '05.

[64]  Kazi J. Ahmed,et al.  Secure LTE-Based V2X Service , 2018, IEEE Internet of Things Journal.

[65]  Kim-Kwang Raymond Choo,et al.  V2X security: A case study of anonymous authentication , 2017, Pervasive Mob. Comput..

[66]  Eylem Ekici,et al.  Vehicular Networking: A Survey and Tutorial on Requirements, Architectures, Challenges, Standards and Solutions , 2011, IEEE Communications Surveys & Tutorials.

[67]  Hui-Ming Wang,et al.  Identifying the Fake Base Station: A Location Based Approach , 2018, IEEE Communications Letters.

[68]  Katia Obraczka,et al.  A flexible in-network IP anonymization service , 2012, 2012 IEEE International Conference on Communications (ICC).

[69]  Xiaodong Lin,et al.  Toward Privacy-Preserving Valet Parking in Autonomous Driving Era , 2019, IEEE Transactions on Vehicular Technology.

[70]  Lei Xu,et al.  Poisoning Network Visibility in Software-Defined Networks: New Attacks and Countermeasures , 2015, NDSS.

[71]  Josep Domingo-Ferrer,et al.  Anonymous and secure aggregation scheme in fog-based public cloud computing , 2018, Future Gener. Comput. Syst..

[72]  Jose F. Monserrat,et al.  Trusted 5G Vehicular Networks: Blockchains and Content-Centric Networking , 2018, IEEE Vehicular Technology Magazine.

[73]  Audun Jøsang,et al.  A survey of trust and reputation systems for online service provision , 2007, Decis. Support Syst..

[74]  Sebastian Engel,et al.  5G / LTE Based Protection of Vulnerable Road Users: Detection of Crossing a Curb , 2015, 2015 IEEE 82nd Vehicular Technology Conference (VTC2015-Fall).

[75]  Dingqi Yang,et al.  Differential Location Privacy for Sparse Mobile Crowdsensing , 2016, 2016 IEEE 16th International Conference on Data Mining (ICDM).

[76]  Vitaly Shmatikov,et al.  De-anonymizing Social Networks , 2009, 2009 30th IEEE Symposium on Security and Privacy.

[77]  Vinod Yegneswaran,et al.  AVANT-GUARD: scalable and vigilant switch flow management in software-defined networks , 2013, CCS.

[78]  Ben Mokhtar Sonia,et al.  The Long Road to Computational Location Privacy: A Survey , 2018, IEEE Communications Surveys & Tutorials.

[79]  Xuemin Shen,et al.  EDR: Efficient Decentralized Revocation Protocol for Vehicular Ad Hoc Networks , 2009, IEEE Transactions on Vehicular Technology.

[80]  Josep Domingo-Ferrer,et al.  TPP: Traceable Privacy-Preserving Communication and Precise Reward for Vehicle-to-Grid Networks in Smart Grids , 2015, IEEE Transactions on Information Forensics and Security.

[81]  Hong Zhao,et al.  Data Security and Privacy Protection Issues in Cloud Computing , 2012, 2012 International Conference on Computer Science and Electronics Engineering.

[82]  Jia-Lun Tsai,et al.  An Efficient Conditional Privacy-Preserving Authentication Scheme for Vehicular Sensor Networks Without Pairings , 2016, IEEE Transactions on Intelligent Transportation Systems.

[83]  David Chaum,et al.  Group Signatures , 1991, EUROCRYPT.

[84]  Wei Yu,et al.  Securing Transportation Cyber-Physical Systems , 2015 .

[85]  Jose Ordonez-Lucena,et al.  Network Slicing for 5G with SDN/NFV: Concepts, Architectures, and Challenges , 2017, IEEE Communications Magazine.

[86]  David Pointcheval,et al.  Short Randomizable Signatures , 2016, CT-RSA.

[87]  Srdjan Capkun,et al.  Distance Hijacking Attacks on Distance Bounding Protocols , 2012, 2012 IEEE Symposium on Security and Privacy.

[88]  Lionel Brunie,et al.  The Long Road to Computational Location Privacy: A Survey , 2019, IEEE Communications Surveys & Tutorials.

[89]  Qi Shi,et al.  Secure and Privacy-Aware Cloud-Assisted Video Reporting Service in 5G-Enabled Vehicular Networks , 2016, IEEE Transactions on Vehicular Technology.

[90]  Jörg Schwenk,et al.  On Technical Security Issues in Cloud Computing , 2009, 2009 IEEE International Conference on Cloud Computing.

[91]  Rong Yu,et al.  Privacy-Preserved Pseudonym Scheme for Fog Computing Supported Internet of Vehicles , 2018, IEEE Transactions on Intelligent Transportation Systems.

[92]  Yong Guan,et al.  Lightweight Location Verification Algorithms for Wireless Sensor Networks , 2013, IEEE Transactions on Parallel and Distributed Systems.

[93]  Michael Grüninger,et al.  Introduction , 2002, CACM.

[94]  Yanfang Ye,et al.  DL 4 MD : A Deep Learning Framework for Intelligent Malware Detection , 2016 .

[95]  Huirong Fu,et al.  Evaluation of active position detection in Vehicular Ad Hoc Networks , 2014, 2014 International Joint Conference on Neural Networks (IJCNN).

[96]  Aiqing Zhang,et al.  Security-Aware and Privacy-Preserving D2D Communications in 5G , 2017, IEEE Network.

[97]  Hao Hu,et al.  REPLACE: A Reliable Trust-Based Platoon Service Recommendation Scheme in VANET , 2017, IEEE Transactions on Vehicular Technology.

[98]  Xiaodong Lin,et al.  SPRING: A Social-based Privacy-preserving Packet Forwarding Protocol for Vehicular Delay Tolerant Networks , 2009, 2010 Proceedings IEEE INFOCOM.

[99]  Yi Mu,et al.  Constant-Size Dynamic k-TAA , 2006, SCN.

[100]  Victor C. M. Leung,et al.  Computation Offloading and Content Caching in Wireless Blockchain Networks With Mobile Edge Computing , 2018, IEEE Transactions on Vehicular Technology.

[101]  Gongjun Yan,et al.  Providing VANET security through active position detection , 2007, VANET '07.

[102]  Mihaela Cardei,et al.  A Survey of Attacks and Countermeasures in Mobile Ad Hoc Networks , 2007 .

[103]  Patrick Traynor,et al.  One-time cookies: Preventing session hijacking attacks with stateless authentication tokens , 2012, TOIT.

[104]  Carynthia Kharkongor,et al.  Self-organized cluster based energy efficient meta trust model for internet of things , 2016, 2016 IEEE International Conference on Engineering and Technology (ICETECH).

[105]  Dan Boneh,et al.  Location Privacy via Private Proximity Testing , 2011, NDSS.

[106]  Andreas Festag,et al.  Cooperative intelligent transport systems standards in europe , 2014, IEEE Communications Magazine.

[107]  Sunil Kumar Khatri,et al.  Analysis of Detection and Prevention of Malware in Cloud Computing Environment , 2019, 2019 Amity International Conference on Artificial Intelligence (AICAI).

[108]  Marco Gruteser,et al.  USENIX Association , 1992 .

[109]  Albert Banchs,et al.  Mobile network architecture evolution toward 5G , 2016, IEEE Communications Magazine.

[110]  Hao Wang,et al.  A Novel Friendly Jamming Scheme in Industrial Crowdsensing Networks against Eavesdropping Attack , 2018, Sensors.

[111]  Mujahid Muhammad,et al.  Survey on existing authentication issues for cellular-assisted V2X communication , 2018, Veh. Commun..

[112]  Le Yu,et al.  Achieving Differentially Private Location Privacy in Edge-Assistant Connected Vehicles , 2019, IEEE Internet of Things Journal.

[113]  B. B. Gupta,et al.  Taxonomy of DoS and DDoS attacks and desirable defense mechanism in a Cloud computing environment , 2017, Neural Computing and Applications.

[114]  Jung-Min Park,et al.  IEEE 802.11bd & 5G NR V2X: Evolution of Radio Access Technologies for V2X Communications , 2019, IEEE Access.

[115]  Jin Wang,et al.  RPRep: A Robust and Privacy-Preserving Reputation Management Scheme for Pseudonym-Enabled VANETs , 2016, Int. J. Distributed Sens. Networks.

[116]  Jyotsna P. Gabhane,et al.  3-level secure Kerberos authentication for Smart Home Systems using IoT , 2015, 2015 1st International Conference on Next Generation Computing Technologies (NGCT).

[117]  John Krumm,et al.  Inference Attacks on Location Tracks , 2007, Pervasive.

[118]  Sébastien Gambs,et al.  Differential Privacy Models for Location-Based Services , 2016, Trans. Data Priv..

[119]  Alfred Menezes,et al.  Handbook of Applied Cryptography , 2018 .

[120]  G. Pulla,et al.  A SURVEY ON TRUST MANAGEMENT FOR MOBILE AD HOC NETWORKS , 2010 .

[121]  Teruo Higashino,et al.  Edge-centric Computing: Vision and Challenges , 2015, CCRV.