Suspicious Activity Detection

Suspicious Activity Detection is a compliance monitoring process within Know Your Customer (KYC) frameworks that systematically identifies deviations from established customer behavioral patterns or regulatory expectations, distinguishing it from general transaction screening by its focus on anomalous, potentially illicit activities indicative of money laundering or financial crime.

832

Publications

39.1K

Citations

2.7K

Authors

904

Institutions

Publications per year

2017–2026

371

Authors

2.7K

  1. CF
    Christos Faloutsos

    Carnegie Mellon University, United States

    5 publications · 298 citations

    5

    h-index

  2. YX
    Yang Xiao

    University of Alabama, United States

    4 publications · 106 citations

    4

    h-index

  3. AS
    Asaf Shabtai

    Ben-Gurion University of the Negev, Israel

    4 publications · 79 citations

    4

    h-index

  4. SJ
    Salvatore J. Stolfo

    Columbia University, United States

    4 publications · 283 citations

    4

    h-index

  5. RS
    Riyanarto Sarno

    Sepuluh Nopember Institute of Technology, Indonesia

    4 publications · 101 citations

    4

    h-index

1–5 of 2.7K

Venues

  1. Computers & Security

    18 publications · 1.1K citations

    17

    h-index

  2. IEEE Access

    18 publications · 989 citations

    16

    h-index

  3. arXiv (Cornell University)

    Repository · 13 publications · 326 citations

    11

    h-index

  4. Journal of Money Laundering Control

    14 publications · 577 citations

    11

    h-index

  5. Expert Systems with Applications

    11 publications · 1.1K citations

    11

    h-index

1–5