D-BRIDEMAID: A Distributed Framework for Collaborative and Dynamic Analysis of Android Malware

Antonio La Marra, Fabio Martinelli, Francesco Mercaldo+, Andrea Saracino, and Mina Sheikhalishahi

 

Istituto di Informatica e Telematica,Consiglio Nazionale delle Ricerche
name.surname@iit.cnr.it

 

Abstract

Android malware are currently the only practical vector to bring security attacks to smartphone and tablets. Malware detection and prevention of zero day attacks requires a prompt analysis, which would benefit in terms of timeliness and accuracy, from being collaborative. This paper presents D-BRIDEMAID a reputation-based framework able to analyse Android applications, with the aim to exploit an hybrid static/dynamic framework for malware analysis to initiate a distributed app evaluation, involving real users willing to test the security features of an app on their device. This work focuses on the definition of the collaborative protocol, the reputation based incentive system and the models to compute revenue for users and security of apps. Simulative and real world experiments are presented to validate the model.

 

Keywords: mobile security, collaborative analysis, dynamic analysis, Android

 

+: Corresponding author: Francesco Mercaldo
Università degli Studi del Molise, Via Francesco De Sanctis, 1, 86100 Campobasso, Italy, Tel: +39 0874 4041

 

Journal of Wireless Mobile Networks, Ubiquitous Computing, and Dependable Applications (JoWUA), Vol. 11, No. 3, pp. 1-28, September 2020 [pdf]

Received: January 6, 2020; Accepted: July 10, 2020; Published: September 30, 2020

DOI: 10.22667/JOWUA.2020.09.30.001