Smartphone applications, malware and data theft

Batten, Lynn, Moonsamy, Veelasha and Alazab, Moutaz 2015, Smartphone applications, malware and data theft. In Senthilkumar, Muthukrishnan, Ramasamy, Vijayalakshmi, Sheen, Shina, Veeramani, C., Bonato, Anthony and Batten, Lynn (ed), Computational intelligence, cyber security and computational models, Springer, Berlin, Germany, pp.15-24, doi: 10.1007/978-981-10-0251-9_2.

Attached Files
Name Description MIMEType Size Downloads

Title Smartphone applications, malware and data theft
Author(s) Batten, LynnORCID iD for Batten, Lynn
Moonsamy, Veelasha
Alazab, Moutaz
Title of book Computational intelligence, cyber security and computational models
Editor(s) Senthilkumar, Muthukrishnan
Ramasamy, Vijayalakshmi
Sheen, Shina
Veeramani, C.
Bonato, Anthony
Batten, LynnORCID iD for Batten, Lynn
Publication date 2015
Series Advances in intelligent systems and computing
Chapter number 2
Total chapters 54
Start page 15
End page 24
Total pages 10
Publisher Springer
Place of Publication Berlin, Germany
Keyword(s) android
Summary The growing popularity of smartphone devices has led to development of increasing numbers of applications which have subsequently become targets for malicious authors. Analysing applications in order to identify malicious ones is a current major concern in information security; an additional problem connected with smart-phone applications is that their many advertising libraries can lead to loss of personal information. In this paper, we relate the current methods of detecting malware on smartphone devices and discuss the problems caused by malware as well as advertising.
Notes This publication is part of the ICC3 2015 Conference
ISBN 9789811002502
ISSN 2194-5357
Language eng
DOI 10.1007/978-981-10-0251-9_2
Field of Research 080303 Computer System Security
080109 Pattern Recognition and Data Mining
Socio Economic Objective 970108 Expanding Knowledge in the Information and Computing Sciences
HERDC Research category B1.1 Book chapter
ERA Research output type B Book chapter
Copyright notice ©2016, Springer Science + Business Media Singapore
Persistent URL

Connect to link resolver
Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved.

Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 3 times in TR Web of Science
Scopus Citation Count Cited 4 times in Scopus
Google Scholar Search Google Scholar
Access Statistics: 385 Abstract Views, 8 File Downloads  -  Detailed Statistics
Created: Tue, 23 Aug 2016, 10:14:23 EST

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact