DroidEcho: an in-depth dissection of malicious behaviors in Android applications-Reference-Cited by-同舟云学术

DroidEcho: an in-depth dissection of malicious behaviors in Android applications

Published:2018-06-05 Issue:1 Volume:1 Page:
ISSN:2523-3246
Container-title:Cybersecurity
language:en
Short-container-title:Cybersecur

Author:

Meng Guozhu,Feng Ruitao,Bai Guangdong,Chen Kai,Liu Yang

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Computer Networks and Communications,Information Systems,Software

Link

http://link.springer.com/content/pdf/10.1186/s42400-018-0006-7.pdf

Reference49 articles.

1. Arzt, S, Bodden E (2016) StubDroid: Automatic Inference of Precise Data-flow Summaries for the Android Framework In: Proceedings of the 38th International Conference on Software Engineering, 725–735.

2. Arzt, S, Rasthofer S, Fritz C, Bodden E, Bartel A, Klein J, Le Traon Y, Octeau D, McDaniel P (2014) FlowDroid: Precise Context, Flow, Field, Object-sensitive and Lifecycle-aware Taint Analysis for Android Apps In: Proceedings of the 35th ACM SIGPLAN Conference on Programming Language Design and Implementation, 259–269, Edinburgh.

3. Arzt, S, Rasthofer S, Fritz C, Bodden E, Bartel A, Klein J, Le Traon Y, Octeau D, McDaniel P (2014) Flowdroid: Precise context, flow, field, object-sensitive and lifecycle-aware taint analysis for android apps In: Proceedings of the 35th ACM SIGPLAN Conference on Programming Language Design and Implementation, PLDI ’14, 259–269.. ACM, New York.

4. Au, KWY, Zhou Y, Huang Z, Lie D (2012) PScout: Analyzing the Android Permission Specification In: Proceedings of the 2012 ACM Conference on Computer and Communications Security, CCS ’12, 217–228.. ACM, New York.

5. Bosu, A, Liu F, Yao DD, Wang G (2017) Collusive Data Leak and More: Large-scale Threat Analysis of Inter-app Communications In: Proceedings of the 2017 ACM on Asia Conference on Computer and Communications Security, 71–85, Abu Dhabi.

Cited by 11 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. Detection approaches for android malware: Taxonomy and review analysis;Expert Systems with Applications;2024-03

2. SeGDroid: An Android malware detection method based on sensitive function call graph learning;Expert Systems with Applications;2024-01

3. Automatic Detection and Analysis towards Malicious Behavior in IoT Malware;2023 IEEE International Conference on Data Mining Workshops (ICDMW);2023-12-04

4. SkillSim: voice apps similarity detection;Cybersecurity;2023-07-01

5. Influencing User’s Behavior Concerning Android Privacy Policy: An Overview;Mobile Information Systems;2021-11-29