DECENTRALIZED SCIENCE LAB
Web3, Decentralized Cybersecurity, Blockchain Systems,On-Device AI, DeFi
Decentralization in computing has gained notice in recent years with the rise in interest in blockchain and cryptocurrencies. However, the benefits of decentralization go beyond those more well-known solutions. Decentralization is a paradigm shift towards the dispersing of data, functions and control away from a central location or authority. Applied in new and innovative ways, decentralization can provide revolutionary software and systems solutions.
The Decentralized Science Lab (dSL) at Kennesaw State University is a research group performing cutting-edge research into decentralized computing concepts and their enabling technologies to provide R&D solutions in multidisciplinary domains including AI, Federated Machine Learning, FinTech, Security, and more. The team is headed by Dr. Reza M. Parizi in the College of Computing and Software Engineering.
Recent News
Jan 2023 | Paper published at Computers in Industry | Secure Intelligent Fuzzy Blockchain Framework: Effective Threat Detection in IoT Networks |
Aug 2022 | Paper published at ARES 2022 | CloudFL: A Zero-Touch Federated Learning Framework for Privacy-aware Sensor Cloud |
April 2022 | Paper accepted at IEEE Transactions on Industrial Informatics | Block Hunter: Federated Learning for Cyber Threat Hunting in Blockchain-based IIoT Networks |
Jan 2022 | Paper accepted at Machine Learning with Applications | Federated IoT Security Attack Detection using Decentralized Edge Data |
Nov 2021 | Paper accepted at IEEE Systems Journal | FabricFL: Blockchain-in-the-Loop Federated Learning for Trusted Decentralized Systems |
Oct 2021 | Paper accepted at Blockchain: Research and Applications | BlockHDFS: Blockchain-integrated Hadoop distributed file system for secure provenance traceability |
AUG 2021 | Paper accepted at IEEE Access | An Ensemble Multi-View Federated Learning Intrusion Detection for IoT |
JUNE 9, 2021 | Paper accepted at Ad Hoc Networks | Federated learning for drone authentication |
MAY 3, 2021 | Paper accepted at IEEE Internet of Things Journal | Federated Learning-based Anomaly Detection for IoT Security Attacks |
OCT 7, 2020 | Paper accepted at Future Generation Computer Systems | A Survey on Security and Privacy of Federated Learning |
JUL 29, 2020 | Paper accepted at IEEE Internet of Things Journal | Enabling Drones in the Internet of Things with Decentralized Blockchain-based Security |
JAN 27, 2020 | Paper accepted at IEEE Journal of Biomedical and Health Informatics | Decentralized Authentication of Distributed Patients in Hospital Networks using Blockchain |
JAN 12, 2020 | Paper accepted at IEEE Transactions on Services Computing | An Energy-efficient SDN Controller Architecture for IoT Networks with Blockchain-based Security |
JAN 10, 2020 | Paper accepted at IEEE 91st Vehicular Technology Conference (VTC2020) | SLPoW: Secure and Low Latency Proof of Work Protocol for Blockchain in Green IoT Networks |
OCT 24, 2019 | Paper accepted at Journal of Network and Computer Applications | Sidechain technologies in blockchain networks: An examination and state-of-the-art review |
OCT 21, 2019 | Paper accepted at Computers & Security | Blockchain Smart Contracts Formalization: Approaches and Challenges to Address Vulnerabilities |
SEP 28, 2019 | Paper accepted at Computers & Security | P4-to-Blockchain: A Secure Blockchain-enabled Packet Parser for Software Defined Networking |
AUG 23, 2019 | Paper accepted in IEEE Transactions on Network Science and Engineering | Blockchain-enabled Authentication Handover with Efficient Privacy Protection in SDN-based 5G Networks |
AUG 18, 2019 | Paper accepted at IEEE GLOBECOM 2019 Workshops | Energy Efficient Decentralized Authentication in Internet of Underwater Things using Blockchain |
JUL 24, 2019 | Paper accepted at IEEE-ICII 2019 | A Hybrid RSA Algorithm in Support of IoT Greenhouse Applications |
JUL 17, 2019 | IEEE Outstanding Paper Award | BlockIPFS - Blockchain-enabled Interplanetary File System for Forensic and Trusted Data Traceability |
MAY 08, 2019 | Paper accepted in IEEE Transactions on Cloud Computing | Classification based Energy Efficient Dynamic Task Scheduling Scheme for Virtualized Cloud Data Center |
