HOME
MEMBERS
RESEARCH
ABOUT
SIG: Decentralized and Collaborative AI
More
The latest news about research, publications and researchers at the Decentralized Science Lab.
LLMSmartSec: Smart Contract Security Auditing with LLM and Annotated Control Flow Graph
June 2024
An AI Multi-Model Approach to DeFi Project Trust Scoring and Security
Automatic Detection of API Access Control Vulnerabilities in Decentralized Web3 Applications
May 2023
Secure Intelligent Fuzzy Blockchain Framework: Effective Threat Detection in IoT Networks
Jan 2023
CloudFL: A Zero-Touch Federated Learning Framework for Privacy-aware Sensor Cloud
Aug 2022
Block Hunter: Federated Learning for Cyber Threat Hunting in Blockchain-based IIoT Networks
April 2022
Federated IoT Security Attack Detection using Decentralized Edge Data
Jan 2022
FabricFL: Blockchain-in-the-Loop Federated Learning for Trusted Decentralized Systems
Nov 2021
BlockHDFS: Blockchain-integrated Hadoop distributed file system for secure provenance traceability
Oct 2021
An Ensemble Multi-View Federated Learning Intrusion Detection for IoT
AUG 2021
Federated learning for drone authentication
JUNE 9, 2021
Federated Learning-based Anomaly Detection for IoT Security Attacks
MAY 3, 2021
A Survey on Security and Privacy of Federated Learning
OCT 7, 2020
Enabling Drones in the Internet of Things with Decentralized Blockchain-based Security
JUL 29, 2020
Decentralized Authentication of Distributed Patients in Hospital Networks using Blockchain
JAN 27, 2020
An Energy-efficient SDN Controller Architecture for IoT Networks with Blockchain-based Security
JAN 12, 2020
SLPoW: Secure and Low Latency Proof of Work Protocol for Blockchain in Green IoT Networks
JAN 10, 2020
Sidechain technologies in blockchain networks: An examination and state-of-the-art review
OCT 24, 2019
Blockchain Smart Contracts Formalization: Approaches and Challenges to Address Vulnerabilities
OCT 21, 2019
P4-to-Blockchain: A Secure Blockchain-enabled Packet Parser for Software Defined Networking
SEP 28, 2019