Paranoid Android: versatile protection for smartphones

By Georgios Portokalidis, P. Homburg, K. Anagnostakis, Herbert Bos. Asia-Pacific Computer Systems Architecture Conference, 2010

399 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computer Networks and Communications, Signal Processing

View Paper: https://www.semanticscholar.org/paper/e53a7926a448a90717eccd521aeddfffd8eec92c

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Citations in the corpus

A survey of mobile cloud computing: architecture, applications, and approaches (2013, background): “softwares on mobile devices, [85] presents a paradigm in which attack detection for a smartphone is performed on a remote server in the cloud.”
A Survey of Mobile Cloud Computing Application Models (2014, background): “Nevertheless, cloud computing is more energy efficient and the researchers have proposed different energy efficient techniques [85], [86], [87], [88] that can get maximum output from the cloud based servers.”
Using probabilistic generative models for ranking risks of Android apps (2012, background): “Portokalidis [22] propose a security so-lution where security checks are applied on remote security servers that host exact replicas of the phones in virtual environments.”
A Probabilistic Discriminative Model for Android Malware Detection with Decompiled Source Code (2015, background): “Portokalidis et al. [21] propose a security solution where security checks are applied on remote security servers that host replicas of the phones in virtual environments.”
MARVIN: Efficient and Comprehensive Mobile App Classification through Static and Dynamic Analysis (2015, methodology): “Android [23] replicates the execution of an app in the cloud to perform resource intensive detection techniques, such as AV scanning or dynamic taint analysis, to identify exploits.”
Android Security: A Survey of Issues, Malware Penetration, and Defenses (2015, methodology): “[53] proposed an alternative off-device malware detection approach by cloning smartphone state at re-”
MaMaDroid: Detecting Android Malware by Building Markov Chains of Behavioral Models (2016, background): “ParanoidAndroid [44] employs a virtual clone of the smartphone, running in parallel in the cloud and replaying activities of the device – however, even if minimal execution traces are actually sent to the cloud, this still takes a non-negligible toll on battery life.”
Towards Taming Privilege-Escalation Attacks on Android (2012, background): “However, not all of them target privilege escalation attacks: Porscha [32] provides policy-oriented secure content handling; Apex [30] allows users to selectively grant and deny permissions at install time; CRePE [11] enables the enforcement of contextrelated policies; Paranoid Android (PA) [34] aim”
Android permissions: a perspective combining risks and benefits (2012, background): “Portokalidis [19] propose a security solution where security checks are applied on remote security servers that host exact replicas of the phones in virtual environments.”
FM 99.9, Radio Virus: Exploiting FM Radio Broadcasts for Malware Deployment (2013, background): “smartphone, which is resource constrained) to the cloud [35]:”
XManDroid: A New Android Evolution to Mitigate Privilege Escalation Attacks (2011, background): “Paranoid Android (PA) detects viruses and runtime attacks exploiting memory errors such as buffer overflows by deploying a virus scanner and a dynamic taint analysis system [36].”
To offload or not to offload? The bandwidth and energy costs of mobile cloud computing (2013, neutral): “computation for specific applications [12], [13].”
DREBIN: Effective and Explainable Detection of Android Malware in Your Pocket (2014, background): “ParanoidAndroid [28] is one of the few detection systems that employs dynamic analysis and can spot malicious activity on the smartphone.”
Why eve and mallory love android: an analysis of android SSL (in)security (2012, background): “Consequently, several efforts have been made to investigate privilege problems in Android apps [17, 9, 4, 3, 18].”
ThinkAir: Dynamic resource allocation and parallel execution in the cloud for mobile code offloading (2012, methodology): “Paranoid Android [15] uses QEMU to run replica Android images in the cloud to enable multiple exploit and attack detection techniques to run simultaneously with minimal impact on phone performance and battery life.”