Lib2Desc: automatic generation of security-centric Android app descriptions using third-party libraries
Author:
Funder
TUBITAK
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Safety, Risk, Reliability and Quality,Information Systems,Software
Link
https://link.springer.com/content/pdf/10.1007/s10207-022-00601-x.pdf
Reference63 articles.
1. Sen, S., Can, B.: Android security using nlp techniques: a review. Preprint arXiv:2107.03072, (2021)
2. Qu, Z., Rastogi, V., Zhang, X., Chen, Y., Zhu, T., Chen, Z.: Autocog: measuring the description-to-permission fidelity in android applications. In: Proceedings of the 2014 ACM SIGSAC Conference on Computer and Communications Security, pp. 1354–1365 (2014)
3. Feng, Y., Chen, L., Zheng, A., Gao, C., Zheng, Z.: Ac-net: assessing the consistency of description and permission in android apps. IEEE Access 7, 57829–57842 (2019)
4. Alecakir, H., Kabukcu, M., Can, B., Sen, S.: Discovering inconsistencies between requested permissions and application metadata by using deep learning. In: 2020 International Conference on Information Security and Cryptology (ISCTURKEY), pp. 56–56, IEEE (2020)
5. Alecakir, H., Can, B., Sen, S.: Attention: there is an inconsistency between android permissions and application metadata!, pp. 1–19 (2021)
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1. XLMR4MD: New Vietnamese dataset and framework for detecting the consistency of description and permission in Android applications using large language models;Computers & Security;2024-05
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