04/01/2022
By Sokny Long

The Francis College of Engineering, Department of Electrical and Computer Engineering, invites you to attend a doctoral dissertation defense by Onur Barut on “Network Traffic Analytics and Malware Detection Using Deep Neural Networks.”

Ph.D. Candidate: Onur Barut
Defense Date: Friday, April 15, 2022
Time: 11 a.m. to 1 p.m. EST
Location: This will be a virtual defense via Zoom. Those interested in attending should contact PhD advisor, yan_luo@uml.edu, at least 24 hours prior to the defense to request access to the meeting.

Committee Chair (Advisor): Yan Luo, Ph.D. Professor, Electrical and Computer Engineering, UMass Lowell

Committee Members:

  • Vinod Vokkarane, Ph.D., Professor, Electrical and Computer Engineering, UMass Lowell
  • Benyuan Liu, Ph.D., Professor, Computer Science, UMass Lowell
  • Tong Zhang, Ph.D., Principal Engineer, Intel Corporation
  • Liang-Min Wang, Ph.D., Platform Solution Architect, Intel Corporation

Brief Abstract:
Classifying network traffic is the basis for important network applications. Prior research in this area has faced challenges on the preserving the users’ privacy by utilizing the packet payload data. In this dissertation, feature extraction-based encrypted network traffic analysis methods have been compared to the proposed privacy preserving attention-based deep neural network model for encrypted application identification and malware traffic classification tasks. The proposed model is also evaluated on the detection of emerging malware encrypted with TLS 1.3. Finally, the weakly supervised methods have been investigated to leverage the available large volume of unlabeled data to improve the classification accuracy of network traffic.

All interested students and faculty members are invited to attend the online defense via remote access.