Journal Information
Distributed Ledger Technologies: Research and Practice (DLT)
https://dl.acm.org/journal/dlt
Publisher:
ACM
ISSN:
2769-6480
Viewed:
886
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Call For Papers
Distributed Ledger Technologies: Research and Practice (DLT) is a peer-reviewed journal that seeks to publish high quality, interdisciplinary research on the research and development, real-world deployment, and evaluation of distributed ledger technologies (DLT) such as blockchain, cryptocurrency, and smart contract. DLT will offer a blend of original research work and innovative practice-driven advancements by internationally distinguished DLT experts and researchers from academia, and public and private sector organizations.

Topics of relevance include, but are not limited to, the following:

Innovation and advances in DLT

- Distributed ledger theory
- Performance analysis and optimization
- Distributed ledger scalability and reliability
- Interoperability or cross-chain interactions
- Consistency, availability and partition tolerance
- Mathematical modeling and stability analysis
- Language-based security and formal verification
- Blockchain and alternative distributed ledger technologies
- Green distributed ledger computing
- Sustainability of distributed ledgers
- Hardware-level security
- Security, privacy, attacks and forensics of distributed ledger
- Anonymity, privacy and network forensics
- Simulation tools and platforms

Smart Contracts

- Smart contract programming languages and tools
- Transaction monitoring and analysis
- Transactional privacy/anonymity
- Mining pools and swarms
- Workflows using smart contracts
- Proof-of-work, -stake, -burn and alternatives
- Smart contract security and attacks
- Formal analysis, verification and correct by design principles
- Governance, accountability, automation and safety

DLT Building Blocks

- Consensus protocols, including PoW, -stake, -burn and alternatives
- Cryptoeconomic mechanisms to reach consensus
- Economic incentive and payoff mechanisms
- Consensus mechanism of DAG
- Security risks and attack vectors

Fintech

- Cryptocurrency and cashless society
- Payment and exchange
- Cryptocurrency integration
- Business opportunities in blockchain
- Derivative contracts/transactions
- Tokens and value creation
- Token economies and governance
- Interfacing fiat and cryptocurrencies
- Machine learning in crypto-markets
- Distributed ledger-based financial market
- Prediction marketplace systems
- Fraud detection and management
- Regulation and taxation
- Policy issues associated with digital currencies
- Fintech adoption, use and impact

Blockchain Engineering

- User studies, real-world measurements and metrics
- Design methodologies for distributed applications
- Certification and audits
- Implications for existing business models
- Identity management, user services and integrity verification
- The Internet of Agreements
- Healthcare management
- Supply chain management
- Business and industrial applications
- Education, legal and smart infrastructure applications
- Distributed ledger and cryptocurrency impact on consumers and regulatory responses

Enabling Technologies

- Internet of things (IoT) and blockchain technology
- Distributed ledger in next generation communications and networks
- Artificial intelligence and blockchain
- Distributed ledger in big data analytics
- High-performance for transaction processing
- Quantum-resistant cryptography

This journal is published on a quarterly basis.
Last updated by Dou Sun in 2024-08-08
Special Issues
Special Issue on Distributed Ledger Technologies for Trustworthy Internet of Vehicles
Submission Date: 2024-12-31

Guest Editors: • Haitham Mahmoud, Birmingham City University, Haitham.mahmoud@bcu.ac.uk • Junaid Arshad, Birmingham City University, Junaid.arshad@bcu.ac.uk • Mohammed Alsadi, Verizon US, Mohammed.alsadi@verizon.com • Ahmed Khan, Verizon US, Ahmed.khan@verizon.com The incorporation of smart road technology into the Internet of Vehicles (IoV) presents an opportunity for revolutionizing the transportation industry, offering improved traffic flow, safety, economic prospects, reduced environmental impact, and secure data transmission. However, as vehicle connectivity escalates and smart infrastructure becomes more integrated, data security and privacy concerns have grown. Due to the possibility of unauthorized access to sensitive information or system manipulation by malicious actors within the IoV ecosystem, the need to implement robust security measures to protect data and maintain privacy is particularly critical. Vehicles can connect directly (V2V) or through infrastructure (V2I) in the IoV through using a variety of communication mechanisms. To improve safety and navigation, this cooperative environment enables vehicles to share vital information like traffic updates and road conditions. The reputation/trust mechanisms of the vehicles are essential in ensuring the reliability and trustworthiness of the information shared. This robust security framework mitigates the risk of attacks like malicious data injection or hacking of autonomous vehicles, safeguarding not only data integrity but, critically, human lives and safety within the transportation industry. Centralized systems are insufficient for the decentralised nature of the IoV and may pose security and privacy risks by requiring trust in third-party systems. Maintaining privacy, safeguarding the network, and optimizing the use of resources present difficulties for such decentralized networks. These issues can be resolved by decentralised technologies such as Distributed Ledger Technologies (DLTs), which offer efficient, transparent, and safe ways to build and preserve trust by sending trustworthy information. Incorporating trust from trusted vehicles within a reputation system poses challenges in maintaining privacy, securing network interactions, ensuring decentralization, and resource-efficient computations, while necessitating real-time trust score aggregation that considers device limitations to uphold both vehicle security and privacy. Topics This special issue centres on the state-of-the-art (latest) developments in privacy, reputation, and trust management within the IoV utilising DLTs, blockchain and smart contracts, highlighting aspects like trust measurement, peer recommendations, and misbehaviour detection, along with addressing privacy concerns and associated threats in the IoV. We encourage submissions that emphasise trust, reputation, privacy, and their associated threats within the IoV decentralized system (i.e., DLTs, Blockchains, etc.). • Privacy, Trust, and Reputation Models • Vehicle Recommendations and Rating Algorithms • Trust or Reputation calculation • Trust architecture. • Machine learning-based trust models. • Privacy-associated threats • Secure Data Sharing and Privacy-Preserving Techniques • Regulatory and Ethical Aspects of Privacy and Trust • Anonymity and Identity Protection in IoV • Scalability and Performance Optimization for Privacy-Preserving • User-Centric Trust Models • Blockchain-Based Data Provenance and Audit Trails in IoV Important Dates • Submissions deadline: December 2024 • First-round review decisions: February 2025 • Deadline for revision submissions: April 2025 • Notification of final decisions: July 2025 • Tentative publication: published online individually before print publication. Submission Information Prospective authors are invited to submit their manuscripts electronically adhering to the ACM Distributed Ledger Technologies: Research and Practice guidelines (https://dl.acm.org/journal/dlt/author-guidelines). Please submit your papers through the online system (https://mc.manuscriptcentral.com/dlt) and be sure to select the Distributed Ledger Technologies for Trustworthy Internet of Vehicles option as paper type. Also, please indicate that you are submitting to this special issue in the author's cover letter. Papers will be subject to a strict review process under the supervision of the Guest Editors, and accepted papers will be published online individually before print publication. For questions and further information, please contact Dr. Haitham Mahmoud (Haitham.mahmoud@bcu.ac.uk) or other guest editors.
Last updated by Dou Sun in 2024-08-09
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