4 citations · 4 across the 4 of their papers we have counts for
5 papers
AutoML in Cybersecurity: An Empirical Study
Sherif Saad, Kevin Shi, Mohammed Mamun +1
Automated machine learning (AutoML) has emerged as a promising paradigm for automating machine learning (ML) pipeline design, broadening AI adoption. Yet its reliability in complex…
LMDG: Advancing Lateral Movement Detection Through High-Fidelity Dataset Generation
Anas Mabrouk, Mohamed Hatem, Mohammad Mamun +1
Lateral Movement (LM) attacks continue to pose a significant threat to enterprise security, enabling adversaries to stealthily compromise critical assets. However, the development…
Evaluating Permissioned Blockchain Using Stochastic Modeling and Chaos Engineering
Shiv Sondhi, Sherif Saad, Kevin Shi +2
Blockchain and distributed ledger technologies rely on distributed consensus algorithms. In recent years many consensus algorithms and protocols have been proposed; most of them ar…
Chaos Engineering For Understanding Consensus Algorithms Performance in Permissioned Blockchains
Shiv Sondhi, Sherif Saad, Kevin Shi +2
A critical component of any blockchain or distributed ledger technology (DLT) platform is the consensus algorithm. Blockchain consensus algorithms are the primary vehicle for the n…
Machine Learning in Precision Medicine to Preserve Privacy via Encryption
William Briguglio, Parisa Moghaddam, Waleed A. Yousef +2
Precision medicine is an emerging approach for disease treatment and prevention that delivers personalized care to individual patients by considering their genetic makeups, medical…