IEEE R10 HTC 2025 (Chiba, Japan)

 This track delves into the foundational technologies and practical systems underpinning blockchain and Distributed Ledger Technology (DLT). It provides a comprehensive platform for discussing the fundamental advancements shaping blockchain and DLT, addressing both theoretical and practical aspects to drive innovation and adoption.

This track aims to explore cutting-edge advancements and challenges in blockchain and DLT, fostering discussions on topics such as emerging architectures, consensus innovations, cryptographic advancements, and governance models. By bringing together researchers and practitioners, we seek to enhance the understanding of how these core technologies are shaping the future of decentralized systems and their transformative impact across industries.

We anticipate receiving paper submissions in a wide range of topic areas, including (but not limited to) the following broad categories:

• Blockchain Architecture and Design
• Consensus Mechanisms
• Interoperability
• Smart Contracts and Miner/maximal extractable value (MEV)
• Formal verification
• Fault Tolerance and Dependable Computing
• Tokenomics and Cryptoeconomics

The Security and Privacy Track focuses on addressing the critical challenges and advancements in securing distributed ledger technologies (DLT) and ensuring user privacy. As blockchain and other DLT systems continue to evolve, they face significant threats, such as cyberattacks, data breaches, and vulnerabilities in consensus mechanisms and smart contracts. Privacy concerns, including anonymity, data protection, and compliance with regulations, are equally pressing.

This track invites high-quality research that explores innovative solutions to enhance the security and privacy of DLT systems. Submissions may cover theoretical frameworks, practical implementations, or case studies. Topics of interest include cryptographic techniques, secure consensus protocols, privacy-preserving mechanisms, and the intersection of DLT with regulatory compliance.

We welcome research using diverse methodologies, including theoretical analysis, experimental studies, and design science approaches, to advance the understanding and deployment of security and privacy in DLT.

Topics of interest include, but are not limited to:

• Security of blockchain consensus protocols and mechanisms
• Cryptographic techniques for quantum-resistant distributed ledger systems
• Privacy-preserving technologies using zero-knowledge proofs
• Vulnerabilities and mitigation strategies in smart contract security
• Techniques to ensure data integrity and prevent tampering in DLT systems
• Ensuring compliance with privacy regulations
• Decentralized identity management and access control in blockchain networks
• Detection, prevention, and mitigation of adversarial attacks in blockchain systems

The Trust Track at ICDLT 2025 focuses on trust as a foundational component in distributed ledger technologies (DLTs) and blockchain ecosystems. Trust mechanisms are critical for ensuring the reliability, security, and verifiability of transactions and interactions in decentralized environments. This track seeks high-quality research that advances trust in blockchain-based systems, including but not limited to trust computation models, decentralized identity management, reputation mechanisms, cryptographic trust protocols, and governance frameworks.

Topics of interest for this track include, but are not limited to:

• Decentralized Trust Models
• Blockchain-based Identity and Access Management (IAM; e.g., Self-sovereign
• identity, verifiable credentials, and identity verification frameworks)
• Reputation and Incentive Mechanisms (e.g., Trust-based reputation models for
• blockchain ecosystems, including DAO governance mechanisms)
• Trust in Smart Contracts and Oracles (e.g., Verifiable and secure interactions
• between blockchain smart contracts and external data sources)
• Trust in Cross-Chain and Interoperable Blockchain Networks (e.g., Secure cross-
• chain communication and verification mechanisms)
• AI-enhanced Trust in DLTs (e.g., Applications of artificial intelligence and
• machine learning in assessing and reinforcing blockchain trustworthiness)
• Trust in Federated and Permissioned Blockchains (e.g., Models for balancing
• trust, control, and decentralization in enterprise and consortium blockchains)
• Zero-Knowledge Proofs (ZKPs) and Trustless Systems (e.g., Enhancing privacy
• and reducing reliance on intermediaries in blockchain transactions)
• Blockchain-based Trust in Supply Chains (e.g., Ensuring transparency and
• auditability of transactions in decentralized logistics and procurement networks)
• Security and Trust in Decentralized Finance (DeFi)

Scalability in digital ledger blockchain refers to the system’s ability to handle increasing transaction  loads, users, and data efficiently without compromising performance. Key topics in blockchain scalability include:

Key topics

• Scalability solutions – Sharding, Consensus mechanisms improvements, blocksize, block time optimization, state channels, sidechains
• Interoperability, cross chain communication – Blockchain bridges, atomic swaps
• High performance Blockchain architectures
• Adaptive and dynamic scaling solutions – elastic blockchains, adaptive state sharding
• Real world challenges and applications – enterprise Blockchain scalability, decentralized finance (DeFi) & NFT Scaling, energy consumption and sustainability

The rapid evolution of modern energy systems, alongside the growing influence of Blockchain and Distributed Ledger Technologies (B/DLT), heralds a transformative era in energy production, distribution, and consumption. These technologies offer unparalleled opportunities to enhance transparency, security, and efficiency across the energy sector. However, critical questions remain: Where does the true potential of B/DLT lie? How do cybersecurity, digital privacy, and emerging AI developments influence this landscape? What roles do international organizations, such as IEEE, play in driving adoption and standardization?

This Energy Track invites researchers, practitioners, and industry experts to explore the dynamic intersection of energy systems and B/DLT. The track will delve into practical applications, standardization initiatives, and global developments spanning markets, research, and pilot projects. By promoting multidisciplinary dialogue, this platform aims to uncover emerging trends, showcase real-world implementations, and highlight strategic advancements at the forefront of energy and blockchain convergence.

Key Topics of Interest:

• Practical applications of B/DLT in energy systems.
• Cybersecurity and digital privacy in decentralized energy networks.
• The impact of AI developments on blockchain-based energy solutions.
• Smart contract applications in the energy domain.
• Standardization efforts led by organizations like IEEE.
• Case Studies in Action – An exploration of real-world implementations of B/DLT in energy, highlighting key lessons learned and best practices.
• B/DLT based energy market applications.
• Future trends in energy and B/DLT integration.

We are excited to invite researchers, industry experts, and thought leaders to submit papers for the IEEE ICDLT 2025. This conference aims to explore groundbreaking advancements, emerging trends, and transformative strategies in the fields of Financial Technology, Business Innovation, Decentralized Platforms (DAO, DePIN, DeFi, etc.), Blockchain and DLT-based economics.

Topics of Interest Include (but are not limited to):

• FinTech Innovations: DeFi, RegTech, InsurTech, AI in Finance – design, impact, and analysis
• Protocol-Level Incentives and Tokenomics: Cryptoeconomic modelling, blockchain analytics, economic and financial indicators
• Decentralised Autonomous Organisations (DAOs): Governance model design and modelling, community building, decision-making models, empirical analysis
• Financial Inclusion & Ethical Considerations: Access to capital, privacy, and social impact
• Adversarial Attacks and Reconstruction: Forensic analysis, market manipulation, anomaly detection
• Business Strategy & Digital Transformation: Startup Ecosystems, Sustainable Business Models