: Accurate Semantic Identification from Low-Level System Data

Mohammad Kavousi; Runqing Yang; Shiqing Ma; Yan Chen

Security and Privacy in Communication Networks. 17th EAI International Conference, SecureComm 2021, Virtual Event, September 6–9, 2021, Proceedings, Part I

Research Article

: Accurate Semantic Identification from Low-Level System Data

Cite: BibTeX Plain Text

@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

Mohammad Kavousi¹, Runqing Yang², Shiqing Ma³, Yan Chen¹

1: Northwestern University
2: Zhejiang University
3: Rutgers University

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.

Keywords: Security System security Semantic detection Provenance graph Living-off-the-land

Published: 2021-11-09
Appears in: SpringerLink

: http://dx.doi.org/10.1007/978-3-030-90019-9_26