A generic framework for detecting interpretable real-time anomalies in network traffic data
Thesis: S.M. in Engineering and Management, Massachusetts Institute of Technology, Engineering Systems Division, System Design and Management Program, 2020
Main Author: | Dowmon, Nicholas H. |
---|---|
Other Authors: | Massachusetts Institute of Technology. Engineering Systems Division. |
Format: | Thesis |
Language: | eng |
Published: |
Massachusetts Institute of Technology
2022
|
Subjects: | |
Online Access: | https://hdl.handle.net/1721.1/145226 |
Similar Items
-
A systematic framework for preparing and enhancing structured data sets for time series analysis
by: Alvidrez, Carlos
Published: (2015) -
Cyber security risk analysis framework : network traffic anomaly detection
by: Moe, Lwin P
Published: (2018) -
Real-time decision making in motorsports : analytics for improving professional car race strategy
by: Choo, Christopher Ledesma Weisen
Published: (2015) -
A macro-micro system architecture analysis framework applied to Smart Grid meter data management systems by Sooraj Prasannan.
by: Prasannan, Sooraj
Published: (2010) -
Digital health innovation & commercialization framework
by: Jain, Umesh.
Published: (2022)