A Buffer Overflow Prediction Approach Based on Software Metrics and Machine Learning

Buffer overflow vulnerability is the most common and serious type of vulnerability in software today, as network security issues have become increasingly critical. To alleviate the security threat, many vulnerability mining methods based on static and dynamic analysis have been developed. However, t...

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Vydané v:	Security and communication networks Ročník 2019; číslo 2019; s. 1 - 13
Hlavní autori:	Wei, Zhiyao, Liu, Qian, Zheng, Zhangqi, Ren, Jiadong, Huaizhi, Yan
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Cairo, Egypt Hindawi Publishing Corporation 01.01.2019 Hindawi John Wiley & Sons, Inc
Predmet:	Accuracy Algorithms Buffers Computing time Data mining Data transmission Decision trees Embedded systems Experiments Machine learning Overflow Research methodology Security Software Software reliability Source code Support vector machines
ISSN:	1939-0114, 1939-0122
On-line prístup:	Získať plný text
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