A method for out-of-distribution detection in encrypted mobile traffic classification
The widespread use of encrypted communication in mobile networks poses significant challenges in accurately classifying traffic. Detecting out-of-distribution (OOD) samples, which significantly deviate from known classes, adds complexity to the task. This dissertation proposes a feature analysis-bas...
Saved in:
Main Author: | Tong, Yuzhou |
---|---|
Other Authors: | Lin Zhiping |
Format: | Thesis-Master by Coursework |
Language: | English |
Published: |
Nanyang Technological University
2024
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/174569 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
Demo abstract: real-time out-of-distribution detection on a mobile robot
by: Yuhas, Michael, et al.
Published: (2023) -
Learning transferable negative prompts for out-of-distribution detection
by: LI, Tianqi, et al.
Published: (2024) -
Pine: Enabling privacy-preserving deep packet inspection on TLS with rule-hiding and fast connection establishment
by: NING, Jianting, et al.
Published: (2020) -
Traffic management scheme for Anda Circle: Traffic study
by: Gonzales, Mel Harvey A.
Published: (2018) -
Intelligent Portable Traffic Light
by: Monica, Josephine
Published: (2016)