ANOVUL: Detection of logic vulnerabilities in annotated programs via data and control flow analysis-Reference-Cited by-同舟云学术

ANOVUL: Detection of logic vulnerabilities in annotated programs via data and control flow analysis

Published:2020-05 Issue:3 Volume:14 Page:352-364
ISSN:1751-8717
Container-title:IET Information Security
language:en
Short-container-title:IET Information Security

Author:

Ghorbanzadeh Mahmoud¹,Reza Shahriari Hamid¹

Affiliation:

1. Department of Computer EngineeringAmirkabir University of TechnologyTehranIran

Publisher

Institution of Engineering and Technology (IET)

Subject

Computer Networks and Communications,Information Systems,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-ifs.2018.5615

Reference38 articles.

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2. ‘Understanding the Differences Between Technical and Logical Web Application Vulnerabilities’ Available at.https://www.netsparker.com/blog/web‐security/logical‐vs‐technical‐web‐application‐vulnerabilities/

3. ‘Logical and Technical Vulnerabilities – What they are and how can they be detected?’ Available at.https://www.acunetix.com/blog/web‐security‐zone/logical‐and‐technical‐vulnerabilities/

4. A survey on server‐side approaches to securing web applications;Li X.;ACM Comput. Surv. CSUR,2014

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2. Software Bug Prediction based on Complex Network Considering Control Flow;2022 IEEE 22nd International Conference on Software Quality, Reliability, and Security Companion (QRS-C);2022-12

3. Design and User Study of a Constraint-based Framework for Business Logic Flaw Discovery;2022 IEEE Secure Development Conference (SecDev);2022-10

4. Link: Black-Box Detection of Cross-Site Scripting Vulnerabilities Using Reinforcement Learning;Proceedings of the ACM Web Conference 2022;2022-04-25