Input Sanitization

Input Sanitization is a secure coding practice that involves the systematic purification of user-supplied data to remove or neutralize potentially malicious content before it is processed by a system, thereby preventing injection attacks and ensuring data integrity within error handling and security contexts.

19

Publications

1.7K

Citations

53

Authors

33

Institutions

Publications per year

2017–2026

3

Authors

53

  1. HB
    Hee Beng Kuan Tan

    Nanyang Technological University, Singapore

    4 publications · 317 citations

    4

    h-index

  2. LK
    Lwin Khin Shar

    Nanyang Technological University, Singapore

    4 publications · 317 citations

    4

    h-index

  3. ZS
    Zhendong Su

    University of California, Davis, United States

    2 publications · 428 citations

    2

    h-index

  4. GW
    Gary Wassermann

    University of California, Davis, United States

    2 publications · 428 citations

    2

    h-index

  5. TB
    Tevfik Bultan

    University of California, Santa Barbara, United States

    2 publications · 60 citations

    2

    h-index

1–5 of 53

Venues

  1. 2

    h-index

  2. Information and Software Technology

    1 publications · 84 citations

    1

    h-index

  3. ACM SIGPLAN Notices

    1 publications · 76 citations

    1

    h-index

  4. Decision Support Systems

    1 publications · 56 citations

    1

    h-index

  5. 1

    h-index

1–5