A Sensitivity Analysis of Evolutionary Algorithms in Generating Secure Configurations. - Shuvalaxmi Dass; Akbar Siami Namin (IEEE BigData, 2020)

Evolutionary Algorithms for Vulnerability Coverage. - Shuvalaxmi Dass; Akbar Siami Namin (COMPSAC, 2020)

Ensemble Random Forests Classifier for Detecting Coincidentally Correct Test Cases. - Shuvalaxmi Dass; Xiaozhen Xue; Akbar Siami Namin (COMPSAC, 2020)

Vulnerability coverage for adequacy security testing. - Shuvalaxmi Dass; Akbar Siami Namin (SAC, 2020)

Vulnerability Coverage for Secure Configuration. - Shuvalaxmi Dass; Akbar Siami Namin (CoRR, 2020)

Detection of Coincidentally Correct Test Cases through Random Forests. - Shuvalaxmi Dass; Xiaozhen Xue; Akbar Siami Namin (CoRR, 2020)

Vulnerability Coverage as an Adequacy Testing Criterion. - Shuvalaxmi Dass; Akbar Siami Namin (CoRR, 2020)

Attack Prediction using Hidden Markov Model. - Shuvalaxmi Dass; Prerit Datta; Akbar Siami Namin (COMPSAC, 2021)

Evolutionary Random Graph for Bitcoin Overlay and Blockchain Mining Networks. - Jacques Bou Abdo; Shuvalaxmi Dass; Basheer Qolomany; Liaquat Hossain (CoRR, 2022)

XorshiftH128+: A hybrid random number generator for lightweight IoT. - Serge Sandakly; Charbel Salem; Khalil Challita; Shuvalaxmi Dass; Joseph Azar; Jacques Bou Abdo; Jacques Demerjian (AIBThings, 2023)

Modeling the Dynamics of Bitcoin Overlay Network. - Jacques Bou Abdo; Shuvalaxmi Dass; Basheer Qolomany; Liaquat Hossain (COMPLEX NETWORKS (3), 2023)

Towards Privacy Preserving Financial Fraud Detection. - Stephanie Abanilla; Moitrayee Chatterjee; Shuvalaxmi Dass (ICMLA, 2023)

Cultivating Inclusivity: A Journey Towards Democratizing Cybersecurity Education. - Jordan Schnell; Shuvalaxmi Dass; Jacques Bou Abdo; Moitrayee Chatterjee (TALE, 2023)

Evolutionary Defense: Advancing Moving Target Strategies with Bio-Inspired Reinforcement Learning to Secure Misconfigured Software Applications. - Niloofar Heidarikohol; Shuvalaxmi Dass; Akbar Siami Namin (CoRR, 2025)