32 citations · 66 across the 4 of their papers we have counts for
4 papers
Enabling Trustworthy Federated Learning in Industrial IoT: Bridging the Gap Between Interpretability and Robustness
Senthil Kumar Jagatheesaperumal, Mohamed Rahouti, Ali Alfatemi +3
Federated Learning (FL) represents a paradigm shift in machine learning, allowing collaborative model training while keeping data localized. This approach is particularly pertinent…
Ransomware Detection Using Federated Learning with Imbalanced Datasets
Aldin Vehabovic, Hadi Zanddizari, Nasir Ghani +5
Ransomware is a type of malware which encrypts user data and extorts payments in return for the decryption keys. This cyberthreat is one of the most serious challenges facing organ…
IoT Threat Detection Testbed Using Generative Adversarial Networks
Farooq Shaikh, Elias Bou-Harb, Aldin Vehabovic +3
The Internet of Things(IoT) paradigm provides persistent sensing and data collection capabilities and is becoming increasingly prevalent across many market sectors. However, most I…
Ransomware Detection and Classification Strategies
Aldin Vehabovic, Nasir Ghani, Elias Bou-Harb +2
Ransomware uses encryption methods to make data inaccessible to legitimate users. To date a wide range of ransomware families have been developed and deployed, causing immense dama…