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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

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  • @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
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