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Blockchain for IoT, Edge & AI
Trustworthy data and learning for IoT, edge networks and digital twins.
Billions of constrained devices produce data that must be trusted without a central authority. We combine blockchains with edge computing, sharding and digital twins to make that data verifiable and its processing accountable.
On the AI side, we use federated and reinforcement learning to detect vulnerabilities and adapt trust across chains, and we study how blockchains can keep learning pipelines private and auditable.
Related papers
CrossTrust-IoTAn Adaptive Reinforcement Learning Framework for Cross-Chain Trust in Resource-Constrained IoT Networks
IEEE Internet of Things Journal
ShardTwinDomain-aware blockchain architecture for static digital twin orchestration in industrial cyber-physical systems
Internet of Things
The fire tries goldEvaluating pre-trained language models for multi-label vulnerability detection in ethereum smart contracts
Journal of Systems and Software
Evolutionary soft computing for interpretable exploit generation in cross-chain bridges
Applied Soft Computing
EdgeTrust-ShardHierarchical blockchain architecture for federated learning in cross-chain IoT ecosystems
Journal of Systems Architecture
PoVIChainLightweight and verifiable cross-chain interoperability for heterogeneous edge networks
Internet of Things
FedvulnScalable and privacy-preserving federated graph learning for smart contract vulnerability detection on parallel systems
Future Generation Computer Systems
Zk-AuctionA Cross-Blockchain System for Efficient Auctions combining Zero-Knowledge Proof and NFT
Proceedings of the 2024 9th International Conference on Intelligent Information Technology
ChainSniperA Machine Learning Approach for Auditing Cross-Chain Smart Contracts
Proceedings of the 2024 9th International Conference on Intelligent Information Technology
MedichainA Multi-chain Based System for Managing Prescription Medications Using Zero Knowledge Proofs
Lecture Notes in Networks and Systems (Intl. Conf. on Intelligent Systems and Networks)
MIDASA Multi-chain Interoperable Data and Access System for Healthcare
Lecture Notes in Computer Science (Computational Data and Social Networks)
CrossCertA Privacy-Preserving Cross-Chain System for Educational Credential Verification Using Zero-Knowledge Proof
LNICST (Industrial Networks and Intelligent Systems)
FedChain-HunterA reliable and privacy-preserving aggregation for federated threat hunting framework in SDN-based IIoT
Internet of Things
Contextual Language Model and Transfer Learning for Reentrancy Vulnerability Detection in Smart Contracts
Proceedings of the 12th International Symposium on Information and Communication Technology