Blockchain Papers

Ahmad Mostafa

No abstract is available for this record.

Yijun Yu, Danny Barthaud, Blaine Price, Arosha K. Bandara · 6 authors

Unmanned Aerial Vehicles (UAVs), or drones, are increasingly expected to operate in spaces populated by humans while avoiding injury to people or damaging property. However, incidents and accidents can, and increasingly do, happen. Traditional investigations of aircraft incidents require on-board flight data recorders (FDRs); however, these physical FDRs only work if the drone can be recovered. A further complication is that physical FDRs are too heavy to mount on light drones, hence not suitable for forensic digital investigations of drone flights. In this paper, we propose a self-adaptive software architecture, LiveBox, to make drones both forensic-ready and regulation compliant. We studied the feasibility of using distributed technologies for implementing the LiveBox reference architecture. In particular, we found that updates and queries of drone flight data and constraints can be treated as transactions using decentralised ledger technology (DLT), rather than a generic time-series database, to satisfy forensic tamper-proof requirements. However, DLTs such as Ethereum, have limits on throughput (i.e. transactions-per-second), making it harder to achieve regulation-compliance at runtime. To overcome this limitation, we present a self-adaptive reporting algorithm to dynamically reduce the precision of flight data without sacrificing the accuracy of runtime verification. Using a real-life scenario of drone delivery, we show that our proposed algorithm achieves a 46% reduction in bandwidth without losing accuracy in satisfying both tamper-proof and regulation-compliant requirements.

Alina Buzachis, Antonio Celesti, Antonino Galletta, Maria Fazio · 5 authors

Every year, traffic collisions have increased rapidly in proportion to the increase in the number of vehicles, especially at intersections. The main cause is human error in recognition and decision-making. Autonomous Vehicles (AVs) and Autonomous Intersection Management (AIM) systems represent emerging challenges. AVs can take a great deal of different actions when approaching an intersection. Several research centers are developing algorithms to solve one of the crucial aspects of autonomous driving, i.e the intersections management, trying to avoid collisions and traffic congestion. In this context, security is the main concern, due to the high exposure to data and information between Vehicle-to-Vehicle (V2V) and Vehicle-to-Intersection (V2I) communications. Blockchain and smart contracts, one of most promising technologies emerged in recent years, represent a possible solution for the existing security issues. Smart contracts are the orchestration and choreography protocols that facilitate, verify and negotiated agreement between the consenting parties participating in the Blockchain network. In this paper, we propose a Multi-Agent AIM (MA-AIM) system based on V2I/I2V communication to securely manage vehicles crossing though an intersections by leveraging Blockchain facilities. A central Intersection Manager Agent (IMA) is implemented at each intersection while each vehicle is controlled by a Driver Agent (DA).

Rohit Sharma, Suchetana Chakraborty

Recent proliferation in disruptive technologies has opened up a new horizon for Internet of Vehicles (IoV). The success of IoV highly depends on the robustness of vehicular information system as a dispute among the service providers on data rights or any kind of security violation could disrupt the transport services altogether. In this work we propose a blockchain based novel architecture for vehicle authentication and privacy preservation with seamless access control for IoV. Proposed architecture is decentralized, robust and scalable. Along with privacy preserving authentication and conflict-free access-log maintenance, the proposed BlockAPP protocol also supports an optional traceability feature. Performance evaluation using smart contact over Ethereum Blockchain validates the effectiveness of the proposed architecture.

Rohit Sharma, Suchetana Chakraborty

Smart interconnected vehicles generate a huge amount of data to be used by a wide range of applications. Although cloud based data management is currently in practice, for many applications serving road safety or traffic regulation, it is utmost important that applications access these data at the site itself for improved quality of service. Road side units (RSUs) play a crucial role in handling these vast amount of vehicular data and serving the running applications in turn. In this current era of edge computing, in-place data access is also proven to be advantageous from cost point of view. As multiple applications from different service providers are interested to access different fragments of these data, a robust access control mechanism is needed to ensure desired level of security as well as reliability for these data. In this paper, we introduce B2VDM, a novel architecture for vehicular data management at RSUs, that provides a seamless access control using Blockchain technology. The proposed B2VDM framework also implements a simple load distribution module, which maintains the reliability by minimizing the number of packet drops at a heavily loaded RSU during peak hours. An extensive evaluation using Etherium Blockchain validates the effectiveness of the proposed architecture.

Onishi Hirofumi

VANET (Vehicle Ad-hoc Network, i.e., V2V (Vehicle-to-Vehicle) communication) with short communication latency and not needing an infrastructure could play important roles in future road safety, to implement crash warning applications. VANET could be useful for awareness of vehicles in drivers' blind spots in situations that cannot be detected by cameras or radars. However, VANET has additional security difficulties to detect and exclude vehicles that are malicious nodes from the network, besides wireless communication's inherent security vulnerabilities, such as jamming, eavesdropping, and tampering, because nodes are communicating with each other directly and not through a base station or a server. On the other hand, DLT (Distributed Ledger Technologies) typified by blockchain is planned to take important roles even in the auto industry, for example, to record/control the information of a huge number of components or maintenance/inspection histories. However, these technologies still have technical limitations to cover time sensitive safety-related applications provided by VANET. Hence, this report first introduces VANET and its security risks, then addresses blockchain's opportunities in the automotive industry. Finally, this report concludes by discussing technical challenges on blockchain to be applied for VANET, for example, the consensus process to create a new block and 51% issue.

Paulo Bartolomeu, Emanuel Vieira, Joaquim Ferreira

The emergence of distributed ledger technologies in the vehicular applications' arena is decisively contributing to their improvement and shaping of the public opinion about their future. The Tangle is a technology at its infancy, but showing enormous potential to become a key solution by addressing several of the blockchain's limitations. This paper focuses on the use of the Tangle to improve the security of both in-vehicle and off-vehicle functions in vehicular applications. To this end, key operational performance parameters are identified, evaluated and discussed with emphasis on their limitations and potential impact in future vehicular applications.

Hao Guo, Ehsan Meamari, Chien‐Chung Shen

Autonomous vehicles are capable of sensing their environment and navigating without any human inputs. However, when autonomous vehicles are involved in accidents between themselves or with human subjects, liability must be indubitably decided based on accident forensics. This paper proposes a blockchain-inspired event recording system for autonomous vehicles. Due to the inefficiency and limited usage of certain blockchain features designed for the traditional cryptocurrency applications, we design a new "proof of event" mechanism to achieve indisputable accident forensics by ensuring that event information is trustable and verifiable. Specifically, we propose a dynamic federation consensus scheme to verify and confirm the new block of event data in an efficient way without any central authority. The security capability of the proposed scheme is also analyzed against different threat and attack models.

Chuka Oham, Salil S. Kanhere, Raja Jurdak, Sanjay Jha

The advent of autonomous vehicles is envisaged to disrupt the auto insurance\nliability model.Compared to the the current model where liability is largely\nattributed to the driver,autonomous vehicles necessitate the consideration of\nother entities in the automotive ecosystem including the auto\nmanufacturer,software provider,service technician and the vehicle owner.The\nproliferation of sensors and connecting technologies in autonomous vehicles\nenables an autonomous vehicle to gather sufficient data for liability\nattribution,yet increased connectivity exposes the vehicle to attacks from\ninteracting entities.These possibilities motivate potential liable entities to\nrepudiate their involvement in a collision event to evade liability. While the\ndata collected from vehicular sensors and vehicular communications is an\nintegral part of the evidence for arbitrating liability in the event of an\naccident,there is also a need to record all interactions between the\naforementioned entities to identify potential instances of negligence that may\nhave played a role in the accident.In this paper,we propose a BlockChain(BC)\nbased framework that integrates the concerned entities in the liability model\nand provides untampered evidence for liability attribution and adjudication.We\nfirst describe the liability attribution model, identify key requirements and\ndescribe the adversarial capabilities of entities. Also,we present a detailed\ndescription of data contributing to evidence.Our framework uses permissioned BC\nand partitions the BC to tailor data access to relevant BC\nparticipants.Finally,we conduct a security analysis to verify that the\nidentified requirements are met and resilience of our proposed framework to\nidentified attacks.\n

Benjamin Leiding, Parisa Memarmoshrefi, Dieter Hogrefe

Combining Vehicle Ad-hoc Networks (VANETs) and Ethereum's blockchain-based application concepts enables transparent, self-managed and decentralized system which are self-regulating and in no need of a central managing authority.

Thierry Bouquier

No abstract is available for this record.

P. Suresha Barani, N. Edna Elizabeth

Vehicular communication and networking for intelligent transportation systems are emerging concept which allows forwarding of traffic information. Road traffic crashes are one of the largest problems being faced. VANET's are self-organized networks in which vehicles communicate with each other without the presence of any priori infrastructure. The proposed scheme aims to develop applications related to vehicular safety by providing information related to road and traffic. Vehicles share the surrounding information with each other. In this paper we include the development of self-managed VANET's that does not require the deployment of infrastructure with detection and warning about abnormal traffic condition by the secure routing of vehicles. Initially the vehicle registration is done using the public key generated by RSA algorithm. Then the verification of the vehicles is done using Zero Knowledge Proof algorithm and the attackers are also detected and eliminated from the network.

Antonella Ferrara, Renato Librino, A. Massola, M. Miglietta · 5 authors

In the short term future, cybernetic transport systems (CTS), based on fully automated urban vehicles (the so-called Cybercars), will be seen on city roads and on new dedicated infrastructures. The objective of the Cybercars is to achieve a more effective organization of urban transport, resulting in a more rational use of motorized traffic, with less congestion and pollution and safer driving. One necessary functionality of Cybercars is the ability to cooperate and run in a platoon at close range. Platooning of these automatic guided cars is addressed in this paper, and decentralized control schemes for autonomous vehicle are proposed. Due to system uncertainties and the wide range of operating conditions, which are typical of the automotive context, a robust control technique is required to solve the problem. The robust control methodologies adopted in this paper are first order and second order sliding mode control, which result particularly suitable to deal with uncertain nonlinear time-varying systems. The proposed control schemes are compared through simulations.