A survey on security for mobile devices
M La Polla, F Martinelli… - … communications surveys & …, 2012 - ieeexplore.ieee.org
Nowadays, mobile devices are an important part of our everyday lives since they enable us
to access a large variety of ubiquitous services. In recent years, the availability of these …
to access a large variety of ubiquitous services. In recent years, the availability of these …
Advanced digital forensics and anti-digital forensics for IoT systems: Techniques, limitations and recommendations
Recently, the number of cyber attacks against IoT domains has increased tremendously.
This resulted into both human and financial losses at all IoT levels especially individual and …
This resulted into both human and financial losses at all IoT levels especially individual and …
Crowdroid: behavior-based malware detection system for android
I Burguera, U Zurutuza, S Nadjm-Tehrani - … of the 1st ACM workshop on …, 2011 - dl.acm.org
The sharp increase in the number of smartphones on the market, with the Android platform
posed to becoming a market leader makes the need for malware analysis on this platform an …
posed to becoming a market leader makes the need for malware analysis on this platform an …
“Andromaly”: a behavioral malware detection framework for android devices
This article presents Andromaly—a framework for detecting malware on Android mobile
devices. The proposed framework realizes a Host-based Malware Detection System that …
devices. The proposed framework realizes a Host-based Malware Detection System that …
Privilege escalation attacks on android
Android is a modern and popular software platform for smartphones. Among its predominant
features is an advanced security model which is based on application-oriented mandatory …
features is an advanced security model which is based on application-oriented mandatory …
Droidminer: Automated mining and characterization of fine-grained malicious behaviors in android applications
Most existing malicious Android app detection approaches rely on manually selected
detection heuristics, features, and models. In this paper, we describe a new, complementary …
detection heuristics, features, and models. In this paper, we describe a new, complementary …
Mobile malware detection through analysis of deviations in application network behavior
In this paper we present a new behavior-based anomaly detection system for detecting
meaningful deviations in a mobile application's network behavior. The main goal of the …
meaningful deviations in a mobile application's network behavior. The main goal of the …
Detecting android malware using sequences of system calls
The increasing diffusion of smart devices, along with the dynamism of the mobile
applications ecosystem, are boosting the production of malware for the Android platform. So …
applications ecosystem, are boosting the production of malware for the Android platform. So …
Automated static code analysis for classifying android applications using machine learning
In this paper we apply Machine Learning (ML) techniques on static features that are
extracted from Android's application files for the classification of the files. Features are …
extracted from Android's application files for the classification of the files. Features are …
Permission based Android security: Issues and countermeasures
Android security has been a hot spot recently in both academic research and public
concerns due to numerous instances of security attacks and privacy leakage on Android …
concerns due to numerous instances of security attacks and privacy leakage on Android …