24 citations · 32 across the 7 of their papers we have counts for
6 papers · 1 filter
BRNES: Enabling Security and Privacy-aware Experience Sharing in Multiagent Robotic and Autonomous Systems
Md Tamjid Hossain, Hung Manh La, Shahriar Badsha +1
Although experience sharing (ES) accelerates multiagent reinforcement learning (MARL) in an advisor-advisee framework, attempts to apply ES to decentralized multiagent systems have…
Vulnerability Characterization and Privacy Quantification for Cyber-Physical Systems
Arpan Bhattacharjee, Shahriar Badsha, Md Tamjid Hossain +2
Cyber-physical systems (CPS) data privacy protection during sharing, aggregating, and publishing is a challenging problem. Several privacy protection mechanisms have been developed…
PoRCH: A Novel Consensus Mechanism for Blockchain-Enabled Future SCADA Systems in Smart Grids and Industry 4.0
Md Tamjid Hossain, Shahriar Badsha, Haoting Shen
Smart Grids and Industry 4.0 (I4.0) are neither a dream nor a near-future thing anymore, rather it is happening now. The integration of more and more embedded systems and IoT devic…
Privacy, Security, and Utility Analysis of Differentially Private CPES Data
Md Tamjid Hossain, Shahriar Badsha, Haoting Shen
Differential privacy (DP) has been widely used to protect the privacy of confidential cyber physical energy systems (CPES) data. However, applying DP without analyzing the utility,…
DeSMP: Differential Privacy-exploited Stealthy Model Poisoning Attacks in Federated Learning
Md Tamjid Hossain, Shafkat Islam, Shahriar Badsha +1
Federated learning (FL) has become an emerging machine learning technique lately due to its efficacy in safeguarding the client's confidential information. Nevertheless, despite th…
Cybersecurity Information Exchange with Privacy (CYBEX-P) and TAHOE -- A Cyberthreat Language
Farhan Sadique, Ignacio Astaburuaga, Raghav Kaul +7
Cybersecurity information sharing (CIS) is envisioned to protect organizations more effectively from advanced cyber attacks. However, a completely automated CIS platform is not wid…