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
19
Klaus Kümmerer, Dionysios D. Dionysiou, Oliver Olsson et al. · The Science of The Total Environment · 2018 · 116 citations
Natural Sciences, Environmental Management, Environmental Sciences +16
1–5 of 19
53
4
h-index
4
h-index
2
h-index
2
h-index
2
h-index
1–5 of 53
33
Nanyang Technological University
Singapore, Singapore
3 h-index
6 publications
344 citations
University of California, Santa Barbara
Santa Barbara, United States
3 h-index
9 publications
2.1K citations
University of California, Davis
Davis, United States
2 h-index
4 publications
856 citations
National Chung Cheng University
Minxiong, Taiwan
1 h-index
2 publications
42 citations
Tatung University
Taipei, Taiwan
1 h-index
2 publications
32 citations
Nanjing University of Posts and Telecommunications
Nanjing, China
1 h-index
2 publications
72 citations
Academia Sinica
Taipei, Taiwan
1 h-index
2 publications
32 citations
Dartmouth College
Hanover, United States
1 h-index
1 publications
231 citations
1–8 of 33
SP · 2 publications · 613 citations
2
h-index
1 publications · 84 citations
1
h-index
1 publications · 76 citations
1
h-index
1 publications · 56 citations
1
h-index
Conference · 1 publications · 17 citations
1
h-index
1–5