Towards an autonomous host-based intrusion detection system for android mobile devices

J Ribeiro, G Mantas, FB Saghezchi, J Rodriguez… - … , Networks, and Systems …, 2019 - Springer
In the 5G era, mobile devices are expected to play a pivotal role in our daily life. They will
provide a wide range of appealing features to enable users to access a rich set of high …

An autonomous host-based intrusion detection system for android mobile devices

J Ribeiro, FB Saghezchi, G Mantas, J Rodriguez… - Mobile Networks and …, 2020 - Springer
Abstract Intrusion Detection System (IDS) is crucial to protect smartphones from imminent
security breaches and ensure user privacy. Android is the most popular mobile Operating …

Hidroid: prototyping a behavioral host-based intrusion detection and prevention system for android

J Ribeiro, FB Saghezchi, G Mantas, J Rodriguez… - IEEE …, 2020 - ieeexplore.ieee.org
Previous research efforts on developing an Intrusion Detection and Prevention Systems
(IDPS) for Android mobile devices rely mostly on centralized data collection and processing …

Intrusion detection on smartphones

M Halilovic, A Subasi - arXiv preprint arXiv:1211.6610, 2012 - arxiv.org
Smartphone technology is more and more becoming the predominant communication tool
for people across the world. People use their smartphones to keep their contact data, to …

Mobidroid: A performance-sensitive malware detection system on mobile platform

R Feng, S Chen, X Xie, L Ma, G Meng… - … on Engineering of …, 2019 - ieeexplore.ieee.org
Currently, Android malware detection is mostly performed on the server side against the
increasing number of Android malware. Powerful computing resource gives more …

End-to-end malware detection for android IoT devices using deep learning

Z Ren, H Wu, Q Ning, I Hussain, B Chen - Ad Hoc Networks, 2020 - Elsevier
Abstract The Internet of Things (IoT) has grown rapidly in recent years and has become one
of the most active areas in the global market. As an open source platform with a large …

A machine learning approach to anomaly-based detection on Android platforms

J Abah, WOV - arXiv preprint arXiv:1512.04122, 2015 - arxiv.org
The emergence of mobile platforms with increased storage and computing capabilities and
the pervasive use of these platforms for sensitive applications such as online banking, e …

Characterizing evaluation practices of intrusion detection methods for smartphones

AJ Alzahrani, N Stakhanova… - Journal of Cyber …, 2014 - journals.riverpublishers.com
The appearance of a new Android platform and its popularity has resulted in a sharp rise in
the number of reported vulnerabilities and consequently in the number of mobile threats …

Towards a hybrid intrusion detection system for android-based PPDR terminals

P Borges, B Sousa, L Ferreira… - 2017 IFIP/IEEE …, 2017 - ieeexplore.ieee.org
Mobile devices are used for communication and for tasks that are sensitive and subject to
tampering. Indeed, attacks can be performed on the users' devices without user awareness …

A Machine Learning Approach for Real Time Android Malware Detection

NC Lê, TM Nguyen, T Truong… - … on Computing and …, 2020 - ieeexplore.ieee.org
Smart mobile devices are increasingly popular and common in modern life. The vast
majority of these use Android-an open operating system developed by Android Inc., which …