Android Code Vulnerabilities Early Detection Using AI-Powered ACVED Plugin

Author:

Senanayake JanakaORCID,Kalutarage HarshaORCID,Al-Kadri Mhd OmarORCID,Petrovski AndreiORCID,Piras LucaORCID

Publisher

Springer Nature Switzerland

Reference28 articles.

1. Albakri, A., et al.: Survey on reverse-engineering tools for android mobile devices. Math. Probl. Eng. 2022 (2022). https://doi.org/10.1155/2022/4908134

2. Bhatnagar, P.: Explainable AI (XAI) - a guide to 7 packages in Python to explain your models (2021). https://towardsdatascience.com/explainable-ai-xai-a-guide-to-7-packages_in-python-to-explain-your-models-932967f0634b. Accessed 03 Feb 2023

3. Corporation, M.: Common weakness enumeration (CWE) (2023). https://cwe.mitre.org/. Accessed 01 Feb 2023

4. Corporation, M.: CVE details (2023). https://www.cvedetails.com/. Accessed 01 Feb 2023

5. Gajrani, J., Tripathi, M., Laxmi, V., Somani, G., Zemmari, A., Gaur, M.S.: Vulvet: vetting of vulnerabilities in android apps to thwart exploitation. Digit. Threats Res. Pract. 1(2), 1–25 (2020). https://doi.org/10.1145/3376121

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