An Accurate and Scalable Role Mining Algorithm based on Graph Embedding and Unsupervised Feature Learning. - Masoumeh Abolfathi; Zohreh Raghebi; Jafar Haadi Jafarian; Farnoush Banaei Kashani (HICSS, 2020)

A Scalable Role Mining Approach for Large Organizations. - Masoumeh Abolfathi; Zohreh Raghebi; Jafar Haadi Jafarian; Farnoush Banaei Kashani (IWSPA@CODASPY, 2021)

Practical Black Box Model Inversion Attacks Against Neural Nets. - Thomas Bekman; Masoumeh Abolfathi; Jafar Haadi Jafarian; Ashis Kumer Biswas; Farnoush Banaei Kashani; Kuntal Das (PKDD/ECML Workshops (2), 2021)

A Game-Theoretically Optimal Defense Paradigm against Traffic Analysis Attacks using Multipath Routing and Deception. - Masoumeh Abolfathi; Ilan Shomorony; Alireza Vahid; Jafar Haadi Jafarian (SACMAT, 2022)

Detecting Network Scanning Through Monitoring and Manipulation of DNS Traffic. - Jafar Haadi Jafarian; Masoumeh Abolfathi; Mahsa Rahimian (IEEE Access, 2023)

Attack detection analysis in software-defined networks using various machine learning method. - Yonghong Wang; Xiaofeng Wang; Mazeyanti M. Ariffin; Masoumeh Abolfathi; Abdulmajeed Alqhatani; Laila M. Almutairi (Comput. Electr. Eng., 2023)

Toward enhancing web privacy on HTTPS traffic: A novel SuperLearner attack model and an efficient defense approach with adversarial examples. - Masoumeh Abolfathi; Srivani Inturi; Farnoush Banaei Kashani; Jafar Haadi Jafarian (Comput. Secur., 2024)