Persistence Detection

Persistence Detection is a cybersecurity method within the domain of threat detection that identifies mechanisms adversaries use to maintain long-term access to compromised systems by distinguishing persistent artifacts and behaviors from transient ones.

24

Publications

1.7K

Citations

74

Authors

42

Institutions

Publications per year

2017–2026

11

Authors

74

  1. AX
    Alex X. Liu

    Michigan State University, United States

    4 publications · 192 citations

    4

    h-index

  2. HD
    Haipeng Dai

    Nanjing University, China

    4 publications · 192 citations

    4

    h-index

  3. ML
    Meng Li

    Nanjing University, China

    3 publications · 99 citations

    3

    h-index

  4. GC
    Guihai Chen

    Shanghai Jiao Tong University, China

    2 publications · 65 citations

    2

    h-index

  5. YZ
    Yuankun Zhong

    Nanjing University, China

    2 publications · 129 citations

    2

    h-index

1–5 of 74

Venues

  1. Future Generation Computer Systems

    FGCS · 2 publications · 330 citations

    2

    h-index

  2. Computer Networks

    2 publications · 200 citations

    2

    h-index

  3. IEEE/ACM Transactions on Networking

    TON · 2 publications · 65 citations

    2

    h-index

  4. The Journal of Supercomputing

    1 publications · 39 citations

    1

    h-index

  5. Cell Systems

    1 publications · 94 citations

    1

    h-index

1–5