32 citations · 38 across the 3 of their papers we have counts for
5 papers
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…
Federated Learning Approach for Distributed Ransomware Analysis
Aldin Vehabovic, Hadi Zanddizari, Farook Shaikh +4
Researchers have proposed a wide range of ransomware detection and analysis schemes. However, most of these efforts have focused on older families targeting Windows 7/8 systems. He…
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…
Data-Centric Machine Learning Approach for Early Ransomware Detection and Attribution
Aldin Vehabovic, Hadi Zanddizari, Nasir Ghani +4
Researchers have proposed a wide range of ransomware detection and analysis schemes. However, most of these efforts have focused on older families targeting Windows 7/8 systems. He…
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…