DocumentCode :
2872680
Title :
Software Vulnerability Discovery Techniques: A Survey
Author :
Bingchang Liu ; Liang Shi ; Zhuhua Cai ; Min Li
Author_Institution :
Software Sch., Xiamen Univ., Xiamen, China
fYear :
2012
fDate :
2-4 Nov. 2012
Firstpage :
152
Lastpage :
156
Abstract :
Software vulnerabilities are the root cause of computer security problem. How people can quickly discover vulnerabilities existing in a certain software has always been the focus of information security field. This paper has done research on software vulnerability techniques, including static analysis, Fuzzing, penetration testing. Besides, the authors also take vulnerability discovery models as an example of software vulnerability analysis methods which go hand in hand with vulnerability discovery techniques. The ending part of the paper analyses the advantages and disadvantages of each technique introduced here and talks about the future direction of this field.
Keywords :
fuzzy set theory; program diagnostics; security of data; computer security problem; fuzzing; penetration testing; software vulnerability analysis methods; software vulnerability discovery techniques; static analysis; Accuracy; Computational modeling; Educational institutions; Security; Software; Software reliability; Testing; Fuzzing; Penetration testing; Software static analysis; Vulnerability; vulnerability discovery model;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Multimedia Information Networking and Security (MINES), 2012 Fourth International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4673-3093-0
Type :
conf
DOI :
10.1109/MINES.2012.202
Filename :
6405650
Link To Document :
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