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Energy Systems
Published in: Energy Systems 3/2022

10-10-2019 | Original Paper

Intent and permission modeling for privacy leakage detection in android

Authors: Gulshan Shrivastava, Prabhat Kumar

Published in: Energy Systems | Issue 3/2022

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Abstract

The extensive use of android systems in today’s era has led to a growth in malware related issues. This problem is majorly caused because of the open environment of the Android framework which eases the use of third-party applications and allows them to run smoothly on an Android device. Communication between various processes also permits the reprocess of component crosswise process boundaries. This structure enables access to various delicate services within the Android framework. In this paper, we analyze samples of clean and malware applications based on permission and intent modeling. Here we have structured the rule-based mathematical modelling based on permission and intent to identify the untrustworthy permission and intent list.
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Literature
1.
Sharma, K., Gupta, B.B.: Towards Privacy Risk Analysis in Android Applications Using Machine Learning Approaches. Int. J. E-Serv. Mob. Appl. (IJESMA) 11(2), 1–21 (2019)CrossRef
2.
3.
Cam, N. T., Pham, V.H., Nguyen, T.: Detecting sensitive data leakage via inter-applications on Android using a hybrid analysis technique. Cluster Comput., 1–10 (2017)
4.
Palumbo, P., Sayfullina, L., Komashinskiy, D., Eirola, E., Karhunen, J.: A pragmatic android malware detection procedure. Comput. Secur. 70, 689–701 (2017)CrossRef
5.
Shrivastava, G., Kumar, P.: Privacy analysis of android applications: state-of-art and literary assessment. Scalable Comput. Pract. Exp. 18(3), 243–252 (2017)
6.
Enck, W., Ongtang, M., McDaniel, P.: On lightweight mobile phone application certification. In: Proceedings of the 16th ACM Conference on Computer and Communications Security, pp 235–245. ACM (2009)
7.
Ly, H. T., Nguyen, T. C., Pham, V. H.: eDSDroid: a hybrid approach for information leak detection in android. In: International Conference on Information Science and Applications, pp. 290–297. Springer, Singapore (2017)
8.
Zhang, L.L., Liang, C.J.M., Li, Z.L., Liu, Y., Zhao, F., Chen, E.: Characterizing privacy risks of mobile apps with sensitivity analysis. IEEE Trans. Mob. Comput. 17(2), 279–292 (2018)CrossRef
9.
10.
Chin, E., Felt, A. P., Greenwood, K., Wagner, D.: Analyzing inter-application communication in Android. In: Proceedings of the 9th International Conference on Mobile Systems, Applications, and Services, pp. 239–252. ACM (2011)
11.
Bugiel, S., Davi, L., Dmitrienko, A., Fischer, T., Sadeghi, A.R. Xmandroid: A new android evolution to mitigate privilege escalation attacks. Technische Universität Darmstadt, Technical Report TR-2011-04 (2011)
12.
Chan, P. P., Hui, L. C., & Yiu, S. M.: April). Droidchecker: analyzing android applications for capability leak. In: Proceedings of the fifth ACM conference on Security and Privacy in Wireless and Mobile Networks, pp 125–136. ACM (2012)
13.
Yang, Z., Yang, M., Zhang, Y., Gu, G., Ning, P., Wang, X.S.: Appintent: analyzing sensitive data transmission in android for privacy leakage detection. In: Proceedings of the 2013 ACM SIGSAC conference on Computer & communications security, pp. 1043–1054. ACM (2013)
14.
Huang, J., Zhang, X., Tan, L., Wang, P., Liang, B.:. Asdroid: Detecting stealthy behaviors in android applications by user interface and program behavior contradiction. In: Proceedings of the 36th International Conference on Software Engineering, pp. 1036–1046. ACM (2014)
15.
Wang, W., Wang, X., Feng, D., Liu, J., Han, Z., Zhang, X.: Exploring permission-induced risk in android applications for malicious application detection. IEEE Trans. Inf. Forensics Secur. 9(11), 1869–1882 (2014)CrossRef
16.
Bagheri, H., Sadeghi, A., Garcia, J., Malek, S.: Covert: compositional analysis of android inter-app permission leakage. IEEE Trans. Softw. Eng. 9, 866–886 (2015)CrossRef
17.
Li, L., Bartel, A., Bissyandé, T.F., Klein, J., Le Traon, Y., Arzt, S., McDaniel, P.: Iccta: Detecting inter-component privacy leaks in android apps. In: Proceedings of the 37th International Conference on Software Engineering-Volume 1, pp. 280–291. IEEE Press (2015)
18.
Asăvoae, I. M., Nguyen, H.N., Roggenbach, M., Shaikh, S.: Utilising K Semantics for collusion detection in android applications. In: ter Beek M.H., Gnesi S., Knapp A. (eds.) Critical Systems: Formal Methods and Automated Verification, AVoCS 2016, FMICS 2016. Lecture Notes in Computer Science, vol. 9933, pp. 142–149. Springer, Cham (2016)
19.
Jing, Y., Ahn, G. J., Doupé, A., Yi, J.H.: Checking intent-based communication in android with intent space analysis. In Proceedings of the 11th ACM on Asia Conference on Computer and Communications Security (pp. 735-746). ACM (2016)
20.
Xu, K., Li, Y., Deng, R.H.: ICCDetector: ICC-based malware detection on Android. IEEE Trans. Inf. Forensics Secur. 11(6), 1252–1264 (2016)CrossRef
21.
Feizollah, A., Anuar, N.B., Salleh, R., Suarez-Tangil, G., Furnell, S.: Androdialysis: analysis of android intent effectiveness in malware detection. Comput.Secur. 65, 121–134 (2017)CrossRef
22.
Idrees, F., Rajarajan, M., Conti, M., Chen, T.M., Rahulamathavan, Y.: PIndroid: a novel Android malware detection system using ensemble learning methods. Computers & Security 68, 36–46 (2017)CrossRef
23.
Sharma, K., Gupta, B.B.: Mitigation and risk factor analysis of android applications. Comput. Electr. Eng. 71, 416–430 (2018)CrossRef
24.
Metadata
Title
Intent and permission modeling for privacy leakage detection in android
Authors
Gulshan Shrivastava
Prabhat Kumar
Publication date
10-10-2019
Publisher
Springer Berlin Heidelberg
Published in
Energy Systems / Issue 3/2022
Print ISSN: 1868-3967
Electronic ISSN: 1868-3975
DOI
https://doi.org/10.1007/s12667-019-00359-7

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