Research Article
: Accurate Semantic Identification from Low-Level System Data
245 downloads
@INPROCEEDINGS{10.1007/978-3-030-90019-9_26, author={Mohammad Kavousi and Runqing Yang and Shiqing Ma and Yan Chen}, title={: Accurate Semantic Identification from Low-Level System Data}, proceedings={Security and Privacy in Communication Networks. 17th EAI International Conference, SecureComm 2021, Virtual Event, September 6--9, 2021, Proceedings, Part I}, proceedings_a={SECURECOMM}, year={2021}, month={11}, keywords={Security System security Semantic detection Provenance graph Living-off-the-land}, doi={10.1007/978-3-030-90019-9_26} }
- Mohammad Kavousi
Runqing Yang
Shiqing Ma
Yan Chen
Year: 2021
: Accurate Semantic Identification from Low-Level System Data
SECURECOMM
Springer
DOI: 10.1007/978-3-030-90019-9_26
Abstract
Forensic analysis, nowadays, is a crucial part of attack investigation in end-user and enterprise systems. Log collection and analysis enable investigators to rebuild the attack chain, find the attack source and possibly rollback the damage made to the system.
Copyright © 2021–2024 ICST