Cross-view Detection

Cross-View Detection is a rootkit detection methodology that identifies malicious software by comparing system state information across multiple, independent views—such as kernel-level and user-level interfaces—to reveal discrepancies indicative of stealthy kernel modifications.

19

Publications

868

Citations

69

Authors

23

Institutions

Publications per year

2017–2026

16

Authors

69

  1. RN
    Rongrong Ni

    Beijing Jiaotong University, China

    1 publications · 46 citations

    1

    h-index

  2. YZ
    Yao Zhao

    Beijing Jiaotong University, China

    1 publications · 46 citations

    1

    h-index

  3. SL
    Sheng Li

    University of Georgia, United States

    1 publications · 73 citations

    1

    h-index

  4. MD
    Ming Dai

    China Jiliang University, China

    1 publications · 71 citations

    1

    h-index

  5. HC
    Hongyu Chen

    Southwest Jiaotong University, China

    1 publications · 43 citations

    1

    h-index

1–5 of 69

Venues

  1. 2

    h-index

  2. arXiv (Cornell University)

    Repository · 1 publications · 28 citations

    1

    h-index

  3. 1

    h-index

  4. Remote Sensing

    1 publications · 71 citations

    1

    h-index

  5. International Journal of Digital Earth

    1 publications · 43 citations

    1

    h-index

1–5