A Statistical Approach to Detecting Low-Throughput Exfiltration through the Domain Name System Protocol
Main Authors: | Joback, Emily, Shing, Leslie, Alperin, Kenneth, Gomez, Steven, Jorgensen, Steven, Elkin, Gabe |
---|---|
Other Authors: | Lincoln Laboratory |
Format: | Article |
Language: | English |
Published: |
ACM|2020 Workshop in DYnamic and Novel Advances in Machine Learning and Intelligent Cyber Security
2022
|
Online Access: | https://hdl.handle.net/1721.1/146469 |
Similar Items
-
A systems analysis of insider data exfiltration : a decentralized framework for disincentivizing and auditing data exfiltration
by: Essilfie-Conduah, Nana,S.M.Massachusetts Institute of Technology.
Published: (2019) -
Towards quantifying exfiltration from in situ sanitary sewer pipes
by: John F. Griffith, et al.
Published: (2025-01-01) -
Assessing infiltration and exfiltration on the Performance of Urban Sewer Systems (APUSS) /
by: Ellis, J. Bryan, et al.
Published: (2010) -
Text analysis of DNS queries for data exfiltration protection of computer networks
by: Ya. V. Bubnov, et al.
Published: (2020-09-01) -
Improving Model Performance for Predicting Exfiltration Attacks Through Resampling Strategies
by: Arif Rahman Hakim, et al.
Published: (2025-01-01)