Labelled Vulnerability Dataset on Android Source Code (LVDAndro) to Develop AI-Based Code Vulnerability Detection Models-Reference-Cited by-同舟云学术

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Labelled Vulnerability Dataset on Android Source Code (LVDAndro) to Develop AI-Based Code Vulnerability Detection Models

Published:2023 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 20th International Conference on Security and Cryptography
language:
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Author:

Senanayake Janaka¹²,Kalutarage Harsha¹,Al-Kadri Mhd Omar³,Piras Luca⁴,Petrovski Andrei¹

Affiliation:

1. School of Computing, Robert Gordon University, Aberdeen, U.K., --- Select a Country ---

2. Faculty of Science, University of Kelaniya, Kelaniya, Sri Lanka, --- Select a Country ---

3. School of Computing and Digital Technology, Birmingham City University, Birmingham, U.K., --- Select a Country ---

4. Department of Computer Science, Middlesex University, London, U.K., --- Select a Country ---

Publisher

SCITEPRESS - Science and Technology Publications

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Defendroid: Real-time Android code vulnerability detection via blockchain federated neural network with XAI;Journal of Information Security and Applications;2024-05

2. FedREVAN: Real-time DEtection of Vulnerable Android Source Code Through Federated Neural Network with XAI;Lecture Notes in Computer Science;2024

3. Android Code Vulnerabilities Early Detection Using AI-Powered ACVED Plugin;Data and Applications Security and Privacy XXXVII;2023

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