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Detection of app collusion potential using logic programming

  • Published:2018-03 Issue: Volume:105 Page:88-104
  • ISSN:1084-8045
  • Container-title:Journal of Network and Computer Applications
  • language:en
  • Short-container-title:Journal of Network and Computer Applications

Author:

Blasco Jorge,Chen Thomas M.,Muttik Igor,Roggenbach Markus

Funder

UK Engineering and Physical Sciences Research Council (EPSRC)

Publisher

Elsevier BV

Subject

Computer Networks and Communications,Computer Science Applications,Hardware and Architecture

Reference36 articles.

1. DREBIN: effective and explainable detection of android malware in your pocket;Arp,2014

2. FlowDroid: precise context, flow, field, object-sensitive and lifecycle-aware taint analysis for Android apps;Arzt,2014

3. Utilising K semantics for collusion detection in android applications;Asavoae,2016

4. “Software model checking: a promising approach to verify mobile app security: a position paper;Asavoae,2017

5. Pscout: analyzing the android permission specification;Au,2012

Cited by 5 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. IAFDroid: Demystifying Collusion Attacks in Android Ecosystem via Precise Inter-App Analysis;IEEE Transactions on Information Forensics and Security;2023

2. Hackers versus Normal Users;Intelligent Security Systems;2021-09-24

3. Scalable analysis of interaction threats in IoT systems;Proceedings of the 29th ACM SIGSOFT International Symposium on Software Testing and Analysis;2020-07-13

4. Recurrent Neural Networks for Colluded Applications Attack Detection in Android OS Devices;2020 International Joint Conference on Neural Networks (IJCNN);2020-07

5. Software Model Checking for Mobile Security – Collusion Detection in $$\mathbb {K}$$K;Model Checking Software;2018
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