Clustering android malware families by http traffic
Due to its popularity and open-source nature, Android is the mobile platform that has been
targeted the most by malware that aim to steal personal information or to control the users' …
targeted the most by malware that aim to steal personal information or to control the users' …
[PDF][PDF] AndroData: a tool for static & dynamic feature extraction of android apps
Being an open source software Android is a popular Operating System in market for
smartphones. System calls play an important role in the execution of user programs in the …
smartphones. System calls play an important role in the execution of user programs in the …
Data mining file sharing metadata: A comparison between Random Forests Classificiation and Bayesian Networks
A Petersson - 2015 - diva-portal.org
In this comparative study based on experimentation it is demonstrated that the two evaluated
machine learning techniques, Bayesian networks and random forests, have similar …
machine learning techniques, Bayesian networks and random forests, have similar …
Development of an extensible forensic analysis framework: application to user-side cloud scenarios
J Rodríguez Canseco - 2015 - e-archivo.uc3m.es
Computer forensic procedures are among the most important methods for nowadays crime
investigations, since IT devices are increasingly more and more present in our society and …
investigations, since IT devices are increasingly more and more present in our society and …
A framework for detection of malicious software in Android handheld systems using machine learning techniques
B Torregrosa Garcia - 2015 - openaccess.uoc.edu
The present study aims at designing and developing new approaches to detect malicious
applications in Android-based devices. More precisely, MaLDroide (Machine Learning …
applications in Android-based devices. More precisely, MaLDroide (Machine Learning …