Automated Software Vulnerability Analysis

Advances in Information Security - Cyber Situational Awareness ◽

10.1007/978-1-4419-0140-8_10 ◽

2009 ◽

pp. 201-223

Author(s):

Emre C. Sezer ◽

Chongkyung Kil ◽

Peng Ning

Keyword(s):

Vulnerability Analysis ◽

Software Vulnerability ◽

Automated Software

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A software vulnerability analysis environment based on virtualization technology

2010 IEEE International Conference on Wireless Communications, Networking and Information Security ◽

10.1109/wcins.2010.5541854 ◽

2010 ◽

Author(s):

Wang Chunlei ◽

Wen Yan ◽

Dai Yiqi

Keyword(s):

Vulnerability Analysis ◽

Software Vulnerability ◽

Virtualization Technology ◽

Analysis Environment

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Automated Software Vulnerability Assessment with Concept Drift

2019 IEEE/ACM 16th International Conference on Mining Software Repositories (MSR) ◽

10.1109/msr.2019.00063 ◽

2019 ◽

Author(s):

Triet Huynh Minh Le ◽

Bushra Sabir ◽

Muhammad Ali Babar

Keyword(s):

Vulnerability Assessment ◽

Concept Drift ◽

Software Vulnerability ◽

Automated Software

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Software Vulnerability Analysis and Discovery Using Deep Learning Techniques: A Survey

IEEE Access ◽

10.1109/access.2020.3034766 ◽

2020 ◽

Vol 8 ◽

pp. 197158-197172

Author(s):

Peng Zeng ◽

Guanjun Lin ◽

Lei Pan ◽

Yonghang Tai ◽

Jun Zhang

Keyword(s):

Deep Learning ◽

Vulnerability Analysis ◽

Software Vulnerability ◽

Learning Techniques

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Information technology. Security techniques. Refining software vulnerability analysis under ISO/IEC 15408 and ISO/IEC 18045

10.3403/30325408 ◽

2016 ◽

Keyword(s):

Information Technology ◽

Vulnerability Analysis ◽

Software Vulnerability ◽

Information Technology Security

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Software Vulnerability Analysis Method Based on Adaptive-K Sequence Clustering

TELKOMNIKA Indonesian Journal of Electrical Engineering ◽

10.11591/telkomnika.v12i6.4610 ◽

2014 ◽

Vol 12 (6) ◽

Author(s):

Di Wu ◽

Jiadong Ren

Keyword(s):

Vulnerability Analysis ◽

Analysis Method ◽

Software Vulnerability ◽

Sequence Clustering

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Survey on Software Vulnerability Analysis Method Based on Machine Learning

2016 IEEE First International Conference on Data Science in Cyberspace (DSC) ◽

10.1109/dsc.2016.33 ◽

2016 ◽

Author(s):

Gong Jie ◽

Kuang Xiao-Hui ◽

Liu Qiang

Keyword(s):

Machine Learning ◽

Vulnerability Analysis ◽

Analysis Method ◽

Software Vulnerability

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Security Patterns from Intelligent Data: A Map of Software Vulnerability Analysis

2017 IEEE 3rd International Conference on Big Data Security on Cloud (BigDataSecurity), IEEE International Conference on High Performance and Smart Computing, (HPSC) and IEEE International Conference on Intelligent Data and Security (IDS) ◽

10.1109/bigdatasecurity.2017.9 ◽

2017 ◽

Author(s):

Sun Jinan ◽

Pan Kefeng ◽

Chen Xuefeng ◽

Zhang Junfu

Keyword(s):

Vulnerability Analysis ◽

Software Vulnerability ◽

Security Patterns

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Software Vulnerability Analysis for Web Services Software Systems

11th IEEE Symposium on Computers and Communications (ISCC'06) ◽

10.1109/iscc.2006.151 ◽

2006 ◽

Author(s):

W.D. Yu ◽

D. Aravind ◽

P. Supthaweesuk

Keyword(s):

Web Services ◽

Vulnerability Analysis ◽

Software Systems ◽

Software Vulnerability

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Neural software vulnerability analysis using rich intermediate graph representations of programs

Information Sciences ◽

10.1016/j.ins.2020.11.053 ◽

2021 ◽

Vol 553 ◽

pp. 189-207

Author(s):

Seyed Mohammad Ghaffarian ◽

Hamid Reza Shahriari

Keyword(s):

Vulnerability Analysis ◽

Software Vulnerability ◽

Graph Representations ◽

Intermediate Graph

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ASVG: Automated Software Vulnerability Sample Generation Technology Based on Source Code

Lecture Notes on Data Engineering and Communications Technologies - Advances on Broadband and Wireless Computing, Communication and Applications ◽

10.1007/978-3-030-02613-4_28 ◽

2018 ◽

pp. 316-325

Author(s):

Jun Yang ◽

Peng Zhou ◽

Yunze Ni

Keyword(s):

Source Code ◽

Software Vulnerability ◽

Automated Software ◽

Generation Technology

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