Title :
Research on the Model of Vulnerability Mining Based on the Local Fuzz
Author :
Qiu Bing-Xue ; Li Yi-Chao
Author_Institution :
Res. Inst. Of Electron. Sci. & Technol., UESTC, Chengdu, China
Abstract :
Fuzz used the concept of black-box testing, is critical to an auto vulnerability mining method, there is blindness in this method. This paper presents a semi-automation model of vulnerability mining based on local fuzz with data stream control and hidden debug technology, the practice shows us that this algorithm makes the fuzz much faster and correct.
Keywords :
data mining; program debugging; program testing; auto vulnerability mining method; black-box testing; data stream control; hidden debug technology; local fuzz; semiautomation model; vulnerability mining model; Accuracy; Algorithm design and analysis; Buffer overflows; Data mining; Navigation; Software; Testing;
Conference_Titel :
Wireless Communications, Networking and Mobile Computing (WiCOM), 2012 8th International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-61284-684-2
DOI :
10.1109/WiCOM.2012.6478654
