Mining input sanitization patterns for predicting SQL injection and cross site scripting vulnerabilities
Static code attributes such as lines of code and cyclomatic complexity have been shown to be useful indicators of defects in software modules. As web applications adopt input sanitization routines to prevent web security risks, static code attributes that represent the characteristics of these routi...
Saved in:
Main Authors: | Shar, Lwin Khin, Tan, Hee Beng Kuan |
---|---|
Other Authors: | School of Electrical and Electronic Engineering |
Format: | Conference or Workshop Item |
Language: | English |
Published: |
2013
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/99523 http://hdl.handle.net/10220/12857 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
Mining input sanitization patterns for predicting SQL injection and cross site scripting vulnerabilities
by: SHAR, Lwin Khin, et al.
Published: (2012) -
Predicting SQL injection and cross site scripting vulnerabilities through mining input sanitization patterns
by: SHAR, Lwin Khin, et al.
Published: (2013) -
Mining SQL injection and cross site scripting vulnerabilities using hybrid program analysis
by: SHAR, Lwin Khin, et al.
Published: (2013) -
Mitigating SQL injection and cross site scripting vulnerabilities using program analysis and data mining techniques
by: Shar, Lwin Khin
Published: (2013) -
Predicting common web application vulnerabilities from input validation and sanitization code patterns
by: Shar, Lwin Khin, et al.
Published: (2013)