Android Inter-App Communication Threats and Detection Techniques
Shweta Bhandari, Wafa Ben Jaballah, Vineeta Jain, Vijay Laxmi, Akka, Zemmari, Manoj Singh Gaur, Mohamed Mosbah, Mauro Conti

TL;DR
This paper surveys Android app collusion threats, analyzing vulnerabilities, attack scenarios, and detection tools, highlighting the challenges in identifying malicious multi-app behaviors that evade traditional security measures.
Contribution
It provides the first comprehensive survey on Android app collusion, detailing vulnerabilities, threat scenarios, and comparing existing detection techniques for multi-app analysis.
Findings
Android apps can maliciously collude to bypass security.
Existing detection tools focus mainly on single-app analysis.
Collusion exploits inter-component communication without user awareness.
Abstract
With the digital breakthrough, smart phones have become very essential component. Mobile devices are very attractive attack surface for cyber thieves as they hold personal details (accounts, locations, contacts, photos) and have potential capabilities for eavesdropping (with cameras/microphone, wireless connections). Android, being the most popular, is the target of malicious hackers who are trying to use Android app as a tool to break into and control device. Android malware authors use many anti-analysis techniques to hide from analysis tools. Academic researchers and commercial anti-malware companies are putting great effort to detect such malicious apps. They are making use of the combinations of static, dynamic and behavior based analysis techniques. Despite of all the security mechanisms provided by Android, apps can carry out malicious actions through collusion. In collusion…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
