Masoumeh Abolfathi
Computer Science and Engineering · University of Colorado Denver
Research Interests
Privacy-enhancing Technologies, Security and Privacy, Network Traffic Analysis, Data-driven Cybersecurity, Machine Learning, Deep Learning
Biography
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
Recent Google Scholar Publications
- Enhancing Encrypted Network Traffic Security Against Advanced Traffic Analysis Attacks
- Attack detection analysis in software-defined networks using various machine learning method
- Detecting Network Scanning Through Monitoring and Manipulation of DNS Traffic
- Toward Enhancing Web Privacy on Https Traffic: A Novel Superlearner Attack Model and an Efficient Defense Approach with Adversarial Examples
- A game-theoretically optimal defense paradigm against traffic analysis attacks using multipath routing and deception
Links
- ORCID https://orcid.org/0000-0002-1669-7426
- Google Scholar https://scholar.google.com/citations?user=HMNCK6QAAAAJ
- Scopus https://www.scopus.com/authid/detail.uri?authorId=None