A multi-layered blockchain framework for smart mobility data-markets

Abstract Blockchain has the potential to render the transaction of information more secure and transparent. Nowadays, transportation data are shared across multiple entities using heterogeneous mediums, from paper collected data to smartphone. Most of this data are stored in central servers that are susceptible to hacks. In some cases shady actors who may have access to such sources, share the mobility data with unwanted third parties. A multi-layered Blockchain framework for Smart Mobility Data-market (BSMD) is presented for addressing the associated privacy, security, management, and scalability challenges. Each participant shares their encrypted data to the blockchain network and can transact information with other participants as long as both parties agree to the transaction rules issued by the owner of the data. Data ownership, transparency, auditability and access control are the core principles of the proposed blockchain for smart mobility data-market. In a case study of real-time mobility data sharing, we demonstrate the performance of BSMD on a 370 nodes blockchain running on heterogeneous and geographically-separated devices communicating on a physical network. We also demonstrate how BSMD ensures the cybersecurity and privacy of individual by safeguarding against spoofing and message interception attacks and providing information access management control.

[1]  Yuan Yong,et al.  Towards blockchain-based intelligent transportation systems , 2016 .

[2]  Davor Svetinovic,et al.  Security and Privacy in Decentralized Energy Trading Through Multi-Signatures, Blockchain and Anonymous Messaging Streams , 2018, IEEE Transactions on Dependable and Secure Computing.

[3]  Christian S. Jensen,et al.  EcoTour: Reducing the Environmental Footprint of Vehicles Using Eco-routes , 2013, 2013 IEEE 14th International Conference on Mobile Data Management.

[4]  Alysson Bessani,et al.  A Byzantine Fault-Tolerant Ordering Service for the Hyperledger Fabric Blockchain Platform , 2017, 2018 48th Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN).

[5]  A Token Mechanism for Growing the Blockstack Ecosystem of Decentralized Applications , 2017 .

[6]  Vallipuram Muthukkumarasamy,et al.  Securing Smart Cities Using Blockchain Technology , 2016, 2016 IEEE 18th International Conference on High Performance Computing and Communications; IEEE 14th International Conference on Smart City; IEEE 2nd International Conference on Data Science and Systems (HPCC/SmartCity/DSS).

[7]  Carmela Troncoso,et al.  Is Geo-Indistinguishability What You Are Looking for? , 2017, WPES@CCS.

[8]  Adel W. Sadek,et al.  An Evaluation of Environmental Benefits of Time-Dependent Green Routing in the Greater Buffalo–Niagara Region , 2013, J. Intell. Transp. Syst..

[9]  Nick Szabo,et al.  Smart Contracts: Building Blocks for Digital Markets , 2018 .

[10]  Marko Vukolic,et al.  Hyperledger fabric: a distributed operating system for permissioned blockchains , 2018, EuroSys.

[11]  Gopal R. Patil,et al.  Emission-based static traffic assignment models , 2016, Environmental Modeling & Assessment.

[12]  Catuscia Palamidessi,et al.  Geo-indistinguishability: differential privacy for location-based systems , 2012, CCS.

[13]  John Preston,et al.  Including congestion effects in urban road traffic CO2 emissions modelling: do local government authorities have the right options? , 2016 .

[14]  Zibin Zheng,et al.  An Overview of Blockchain Technology: Architecture, Consensus, and Future Trends , 2017, 2017 IEEE International Congress on Big Data (BigData Congress).

[15]  Hua Lu,et al.  PAD: privacy-area aware, dummy-based location privacy in mobile services , 2008, MobiDE '08.

[16]  Jong Hyuk Park,et al.  Block-VN: A Distributed Blockchain Based Vehicular Network Architecture in Smart City , 2017, J. Inf. Process. Syst..

[17]  George Danezis,et al.  Prying Data out of a Social Network , 2009, 2009 International Conference on Advances in Social Network Analysis and Mining.

[18]  Bilal Farooq,et al.  Perturbation Methods for Protection of Sensitive Location Data: Smartphone Travel Survey Case Study , 2019, Transportation Research Record: Journal of the Transportation Research Board.

[19]  Tomer Toledo,et al.  Optimal Dynamic Tolls for Managed Lanes , 2017 .

[20]  Johann Schrammel,et al.  Persuasive Technologies for Sustainable Mobility: State of the Art and Emerging Trends , 2018, Sustainability.

[21]  Bilal Farooq,et al.  An automated approach from GPS traces to complete trip information , 2019, International Journal of Transportation Science and Technology.

[22]  Helbing,et al.  Congested traffic states in empirical observations and microscopic simulations , 2000, Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics.

[23]  Praveen Gauravaram,et al.  Blockchain for IoT security and privacy: The case study of a smart home , 2017, 2017 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops).

[24]  Susan Shaheen,et al.  Shared Automated Vehicles: Review of Business Models , 2017 .

[25]  Cynthia Dwork,et al.  Differential Privacy: A Survey of Results , 2008, TAMC.

[26]  Latanya Sweeney,et al.  k-Anonymity: A Model for Protecting Privacy , 2002, Int. J. Uncertain. Fuzziness Knowl. Based Syst..

[27]  Sachin Shetty,et al.  ProvChain: A Blockchain-Based Data Provenance Architecture in Cloud Environment with Enhanced Privacy and Availability , 2017, 2017 17th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGRID).

[28]  Jie Sun,et al.  Stochastic Eco-routing in a Signalized Traffic Network , 2015 .

[29]  Bilal Farooq,et al.  Quantifying the impacts of dynamic control in connected and automated vehicles on greenhouse gas emissions and urban NO2 concentrations , 2019, Transportation Research Part D: Transport and Environment.

[30]  Marijn Janssen,et al.  Blockchain in government: Benefits and implications of distributed ledger technology for information sharing , 2017, Gov. Inf. Q..

[31]  Bilal Farooq,et al.  Large-Scale Multi-Sensor Monitoring of Pedestrian Dynamics in Public Spaces: Preliminary Results , 2016 .

[32]  Ryosuke Shibasaki,et al.  Activity-Aware Map: Identifying Human Daily Activity Pattern Using Mobile Phone Data , 2010, HBU.

[33]  Mikko Valkama,et al.  Impact of VANET-based V2X communication using IEEE 802.11p on reducing vehicles traveling time in realistic large scale urban area , 2013, 2013 International Conference on Connected Vehicles and Expo (ICCVE).

[34]  M. Rodgers,et al.  MOVES-Matrix for high-performance on-road energy and running emission rate modeling applications , 2019, Journal of the Air & Waste Management Association.

[35]  Chen Wang,et al.  ILLIA: Enabling $k$ -Anonymity-Based Privacy Preserving Against Location Injection Attacks in Continuous LBS Queries , 2018, IEEE Internet of Things Journal.

[36]  Wei Jiang,et al.  Healthcare Data Gateways: Found Healthcare Intelligence on Blockchain with Novel Privacy Risk Control , 2016, Journal of Medical Systems.

[37]  Bo Zhao,et al.  Rethinking Spatial Data Quality: Pokémon Go as a Case Study of Location Spoofing , 2019 .

[38]  S. Freundschuh,et al.  The location swapping method for geomasking , 2017 .

[39]  Florian Glaser,et al.  Pervasive Decentralisation of Digital Infrastructures: A Framework for Blockchain enabled System and Use Case Analysis , 2017, HICSS.

[40]  Satoshi Nakamoto Bitcoin : A Peer-to-Peer Electronic Cash System , 2009 .

[41]  Daniel Z. Sui,et al.  True lies in geospatial big data: detecting location spoofing in social media , 2016, Ann. GIS.

[42]  Kim-Kwang Raymond Choo,et al.  BaDS: Blockchain-Based Architecture for Data Sharing with ABS and CP-ABE in IoT , 2018, Wirel. Commun. Mob. Comput..

[43]  J.D. Day,et al.  The OSI reference model , 1983 .

[44]  Dawn Xiaodong Song,et al.  Ekiden: A Platform for Confidentiality-Preserving, Trustworthy, and Performant Smart Contract Execution , 2018, ArXiv.

[45]  Marko Vukolic,et al.  A Byzantine Fault-Tolerant Ordering Service for the Hyperledger Fabric Blockchain Platform , 2018, DSN.

[46]  Christof Weinhardt,et al.  A blockchain-based smart grid: towards sustainable local energy markets , 2017, Computer Science - Research and Development.

[47]  Satish V. Ukkusuri,et al.  Integration of Environmental Objectives in a System Optimal Dynamic Traffic Assignment Model , 2012, Comput. Aided Civ. Infrastructure Eng..

[48]  Marko Vukolic,et al.  The Quest for Scalable Blockchain Fabric: Proof-of-Work vs. BFT Replication , 2015, iNetSeC.

[49]  Pietro Salizzoni,et al.  The model SIRANE for atmospheric urban pollutant dispersion; part I, presentation of the model , 2011 .

[50]  Xu Yang,et al.  Modeling Dynamic Vehicle Navigation in a Self-Organizing, Peer-to-Peer, Distributed Traffic Information System , 2006, J. Intell. Transp. Syst..

[51]  Bilal Farooq,et al.  Impact of Distributed Routing of Intelligent Vehicles on Urban Traffic , 2018, 2018 IEEE International Smart Cities Conference (ISC2).

[52]  Bilal Farooq,et al.  Multi-objective Eco-routing in a Distributed Routing Framework , 2019, 2019 IEEE International Smart Cities Conference (ISC2).

[53]  Bilal Farooq,et al.  Virtual Immersive Reality based Analysis of Behavioral Responses in Connected and Autonomous Vehicle Environment , 2019, ArXiv.

[54]  Bilal Farooq,et al.  Virtual Immersive Reality for Stated Preference Travel Behavior Experiments: A Case Study of Autonomous Vehicles on Urban Roads , 2018, Transportation Research Record: Journal of the Transportation Research Board.

[55]  Behrouz Homayoun Far,et al.  Microsimulation Evaluation of the Potential Impacts of Vehicle-to-Vehicle Communication (V2V) in Disseminating Warning Information under High Incident Occurrence Conditions , 2012, Int. J. Intell. Transp. Syst. Res..

[56]  Anne Oeldorf-Hirsch,et al.  The Biggest Lie on the Internet: Ignoring the Privacy Policies and Terms of Service Policies of Social Networking Services , 2020 .

[57]  Bilal Farooq,et al.  Multi-Factor Taxonomy of Eco-Routing Models and Future Outlook , 2020, J. Sensors.

[58]  Emin Gün Sirer,et al.  Majority Is Not Enough: Bitcoin Mining Is Vulnerable , 2013, Financial Cryptography.

[59]  Henry M. Kim,et al.  Towards an Ontology-Driven Blockchain Design for Supply Chain Provenance , 2016, Intell. Syst. Account. Finance Manag..

[60]  Gilbert Laporte,et al.  The Pollution-Routing Problem , 2011 .

[61]  Alejandro Quintero,et al.  Distributed Classification of Urban Congestion Using VANET , 2017, IEEE Transactions on Intelligent Transportation Systems.

[62]  Ruiyuan Lu,et al.  A Scheme about Agricultural Produce Traceability Using Blockchain Based on Hyperledger Fabric , 2020 .

[63]  Lijing Zhou,et al.  BeeKeeper 2.0: Confidential Blockchain-Enabled IoT System with Fully Homomorphic Computation , 2018, Sensors.

[64]  Harald Vranken,et al.  Sustainability of bitcoin and blockchains , 2017 .

[65]  Bilal Farooq,et al.  Ubiquitous monitoring of pedestrian dynamics: Exploring wireless ad hoc network of multi-sensor technologies , 2015, 2015 IEEE SENSORS.

[66]  Ahmad Tavassoli,et al.  Public transport trip purpose inference using smart card fare data , 2018 .

[67]  John A. Michon,et al.  A critical view of driver behavior models: What do we know , 1985 .

[68]  W. Y. Szeto,et al.  Link-based system optimum dynamic traffic assignment problems with environmental objectives , 2016 .