Masoumeh Abolfathi is a Ph.D. candidate at the University of Colorado Denver. Her area of interest includes data-driven cybersecurity, security and privacy, and network traffic analysis. She received her B.Sc. and M.Sc. from the University of Tehran and Tehran polytechnic University respectively. While studying, Masoumeh worked for Juniper Networks and NCC Group North America as an intern. She received second place in the SRC Graduate Award at the Tapia 2022. She is a capable expert with experience working in highly collaborative, agile environments. Well-rounded with a background in software engineering, data science, machine learning, and cybersecurity.
EDUCATION
Ph.D. in Computer Science and Information Systems
RESEARCH INTERESTS
Privacy-enhancing Technologies, Security and Privacy, Network Traffic Analysis, Data-driven Cybersecurity, Machine Learning, Deep Learning
FUTURE PROJECTS
Drone Traffic Analysis
Applications Invited
136
Scholar Citations
6
Scholar h-index
6
Scholar i10-index
RECENT SCHOLAR PUBLICATIONS
Enhancing Encrypted Network Traffic Security Against Advanced Traffic Analysis Attacks M Abolfathi University of Colorado at Denver , 2024 2024 Citations: 3
Attack detection analysis in software-defined networks using various machine learning method Y Wang, X Wang, MM Ariffin, M Abolfathi, A Alqhatani, L Almutairi Computers and Electrical Engineering 108, 108655 , 2023 2023 Citations: 36
Detecting Network Scanning Through Monitoring and Manipulation of DNS Traffic JH Jafarian, M Abolfathi, M Rahimian IEEE Access , 2023 2023 Citations: 19
Toward Enhancing Web Privacy on Https Traffic: A Novel Superlearner Attack Model and an Efficient Defense Approach with Adversarial Examples M Abolfathi, S Inturi, F Banaei-Kashani, JH Jafarian Computers & Security , 2023 2023 Citations: 24
A game-theoretically optimal defense paradigm against traffic analysis attacks using multipath routing and deception M Abolfathi, I Shomorony, A Vahid, JH Jafarian Proceedings of the 27th ACM on symposium on access control models and … , 2022 2022 Citations: 29
Practical Black Box Model Inversion Attacks Against Neural Nets B Thomas, A Masoumeh, J Haadi, B Ashis, BK Farnoush, D Kuntal ECML PKDD 2021 1525, 39-54 , 2021 2021 Citations: 10
A Scalable Role Mining Approach for Large Organizations M Abolfathi, Z Raghebi, H Jafarian, F Banaei-kashani IWSPA '21: Proceedings of the 2021 ACM Workshop on Security and Privacy … , 2021 2021 Citations: 10
An Accurate and Scalable Role Mining Algorithm based on Graph Embedding and Unsupervised Feature Learning M Abolfathi, Z Raghebi, JH Jafarian, F Banaei-Kashani Proceedings of the 53rd Hawaii International Conference on System Sciences , 2020 2020 Citations: 5
MOST CITED SCHOLAR PUBLICATIONS
Attack detection analysis in software-defined networks using various machine learning method Y Wang, X Wang, MM Ariffin, M Abolfathi, A Alqhatani, L Almutairi Computers and Electrical Engineering 108, 108655 , 2023 2023 Citations: 36
A game-theoretically optimal defense paradigm against traffic analysis attacks using multipath routing and deception M Abolfathi, I Shomorony, A Vahid, JH Jafarian Proceedings of the 27th ACM on symposium on access control models and … , 2022 2022 Citations: 29
Toward Enhancing Web Privacy on Https Traffic: A Novel Superlearner Attack Model and an Efficient Defense Approach with Adversarial Examples M Abolfathi, S Inturi, F Banaei-Kashani, JH Jafarian Computers & Security , 2023 2023 Citations: 24
Detecting Network Scanning Through Monitoring and Manipulation of DNS Traffic JH Jafarian, M Abolfathi, M Rahimian IEEE Access , 2023 2023 Citations: 19
Practical Black Box Model Inversion Attacks Against Neural Nets B Thomas, A Masoumeh, J Haadi, B Ashis, BK Farnoush, D Kuntal ECML PKDD 2021 1525, 39-54 , 2021 2021 Citations: 10
A Scalable Role Mining Approach for Large Organizations M Abolfathi, Z Raghebi, H Jafarian, F Banaei-kashani IWSPA '21: Proceedings of the 2021 ACM Workshop on Security and Privacy … , 2021 2021 Citations: 10
An Accurate and Scalable Role Mining Algorithm based on Graph Embedding and Unsupervised Feature Learning M Abolfathi, Z Raghebi, JH Jafarian, F Banaei-Kashani Proceedings of the 53rd Hawaii International Conference on System Sciences , 2020 2020 Citations: 5
Enhancing Encrypted Network Traffic Security Against Advanced Traffic Analysis Attacks M Abolfathi University of Colorado at Denver , 2024 2024 Citations: 3
