Towards automated Android app collusion detection


Autoria(s): AsǍvoae, Irina Mariuca; Blasco, Jorge; Chen, Thomas M.; Kalutarage, Harsha Kumara; Muttik, Igor; Nguyen, Hoang Nga; Roggenbach, Markus; Shaikh, Siraj Ahmed
Data(s)

2016

Resumo

<p>Android OS supports multiple communication methods between apps. This opens the possibility to carry out threats in a collaborative fashion, c.f. the Soundcomber example from 2011. In this paper we provide a concise definition of collusion and report on a number of automated detection approaches, developed in co-operation with Intel Security.</p>

Identificador

http://pure.qub.ac.uk/portal/en/publications/towards-automated-android-app-collusion-detection(025918da-ca0c-464e-8061-173b8aef6d04).html

http://www.scopus.com/inward/record.url?scp=84978083114&partnerID=8YFLogxK

Idioma(s)

eng

Publicador

CEUR-WS

Direitos

info:eu-repo/semantics/restrictedAccess

Fonte

AsǍvoae , I M , Blasco , J , Chen , T M , Kalutarage , H K , Muttik , I , Nguyen , H N , Roggenbach , M & Shaikh , S A 2016 , Towards automated Android app collusion detection . in CEUR Workshop Proceedings . vol. 1575 , CEUR-WS , pp. 29-37 , 1st International Workshop on Innovations in Mobile Privacy and Security, IMPS 2016 , London , United Kingdom , 6 April .

Palavras-Chave #/dk/atira/pure/subjectarea/asjc/1700 #Computer Science(all)
Tipo

contributionToPeriodical