Publications – UTSCybeR

[Neurocomputing] Preventing harm to the rare in combating the malicious: A filtering-and-voting framework with adaptive aggregation in federated learning

Nov 1, 2024

[ProvSec24] DPAC: A New Data-Centric Privacy-Preserving Access Control Model

Sep 27, 2024

[ProvSec24] Enabling Efficient Cross-Shard Smart Contract Calling via Overlapping

Sep 25, 2024

[Preprint] Fishers Harvest Parallel Unlearning in Inherited Model Networks

Aug 16, 2024

[IoT-J] ByCAN: Reverse Engineering Controller Area Network (CAN) Messages from Bit to Byte Level

Jul 29, 2024

[ELECTRONICS] GNN-Based Network Traffic Analysis for the Detection of Sequential Attacks in IoT

Jun 10, 2024

[Acm Comput Surv] Blockchained federated learning for internet of things: A comprehensive surveyfiltering-and-voting framework with adaptive aggregation in federated learning

May 22, 2024

[ComNet] TbDd: A new trust-based, DRL-driven framework for blockchain sharding in IoT

May 1, 2024

[TCSS] Toward Web3 Applications: Easing the Access and Transition

Apr 19, 2024

[Blockchain23] A community-based strategy for blockchain sharding: Enabling more budget-friendly transactions

Dec 17, 2023

[TNNLS] IronForge: An open, secure, fair, decentralized federated learning

Nov 21, 2023

[ISCIT23] A Generative Adversarial Networks-Based Integer Overflow Detection Model for Smart Contracts

Oct 16, 2023

[ISCIT23] A Novel Weights-less Watermark Embedding Method for Neural Network Models

Oct 16, 2023

[TIST] Obfuscating the Dataset: Impacts and Applications

Sep 30, 2023

[Chin. Phys. B.] Robustness of community networks against cascading failures with heterogeneous redistribution strategies

Sep 1, 2023

[TSMC] Adaptive Resource Scheduling in Permissionless Sharded-Blockchains: A Decentralized Multiagent Deep Reinforcement Learning Approach

Aug 2, 2023

[MWC] Accountability and Reliability in 6G O-RAN: Who is Responsible When it Fails?

[TITS] CAN-Trace Attack: Exploit CAN Messages to Uncover Driving Trajectories

[TrustCom24] FedNIFW: Non-Interfering Fragmented Watermarking for Federated Deep Neural Network

[SIN24] SMAKAP: Secure Mutual Authentication and Key Agreement Protocol for RFID Systems

[Neurocomputing] Preventing harm to the rare in combating the malicious: A filtering-and-voting framework with adaptive aggregation in federated learning

[ProvSec24] DPAC: A New Data-Centric Privacy-Preserving Access Control Model

[ProvSec24] Enabling Efficient Cross-Shard Smart Contract Calling via Overlapping

[Preprint] Fishers Harvest Parallel Unlearning in Inherited Model Networks

[IoT-J] ByCAN: Reverse Engineering Controller Area Network (CAN) Messages from Bit to Byte Level

[ELECTRONICS] GNN-Based Network Traffic Analysis for the Detection of Sequential Attacks in IoT

[Acm Comput Surv] Blockchained federated learning for internet of things: A comprehensive surveyfiltering-and-voting framework with adaptive aggregation in federated learning

[ComNet] TbDd: A new trust-based, DRL-driven framework for blockchain sharding in IoT

[TCSS] Toward Web3 Applications: Easing the Access and Transition

[Blockchain23] A community-based strategy for blockchain sharding: Enabling more budget-friendly transactions

[TNNLS] IronForge: An open, secure, fair, decentralized federated learning

[ISCIT23] A Generative Adversarial Networks-Based Integer Overflow Detection Model for Smart Contracts

[ISCIT23] A Novel Weights-less Watermark Embedding Method for Neural Network Models

[TIST] Obfuscating the Dataset: Impacts and Applications

[Chin. Phys. B.] Robustness of community networks against cascading failures with heterogeneous redistribution strategies

[TSMC] Adaptive Resource Scheduling in Permissionless Sharded-Blockchains: A Decentralized Multiagent Deep Reinforcement Learning Approach