Research Article
Malware Prevention and Detection System using Smart Phone
|
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
|
| Volume 107 - Issue 21 |
| Published: December 2014 |
| Authors: Sachin M. Kolekar, Parikshit N. Mahalle |
10.5120/19141-0142
|
Sachin M. Kolekar, Parikshit N. Mahalle . Malware Prevention and Detection System using Smart Phone. International Journal of Computer Applications. 107, 21 (December 2014), 31-35. DOI=10.5120/19141-0142
@article{ 10.5120/19141-0142,
author = { Sachin M. Kolekar,Parikshit N. Mahalle },
title = { Malware Prevention and Detection System using Smart Phone },
journal = { International Journal of Computer Applications },
year = { 2014 },
volume = { 107 },
number = { 21 },
pages = { 31-35 },
doi = { 10.5120/19141-0142 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2014
%A Sachin M. Kolekar
%A Parikshit N. Mahalle
%T Malware Prevention and Detection System using Smart Phone%T
%J International Journal of Computer Applications
%V 107
%N 21
%P 31-35
%R 10.5120/19141-0142
%I Foundation of Computer Science (FCS), NY, USA
Abstract
Mobile malware is a malicious software. This software used to disrupt computer operation. This paper surveys current state of mobile malware in the wild. Types of malware includingviruses,Trojans,Rootkits,Zombies,worms,Spyware,adware,spam,email and Denial Of Services(DOS) attaks. Survey the different types of operating system in different differ mobile. In this paper, we present the different types of malware detection techniques & discuss the smart phone security challenges.
References
- A. P. Felt et al. , "A Survey of Mobile Malware in the Wild,"Proc. ACM Workshop Security and Privacy in Mobile Devices(SPMD 11), ACM, 2011, pp. 3-14.
- Adebayo, Olawale Surajudeen, Mabayoje, Amit Mishra, Osho Oluwafemi, "Malware Detection, Supportive Software Agents and ItsClassification Schemes", International Journal of Network Security & Its Applications (IJNSA), Vol. 4, No. 6, November 2012.
- T. Blasing et al. , "An Android Application Sandbox System for Suspicious Software Detection," Proc. 5th Int'l Conf. Malicious and Unwanted Software (Malware 10), ACM, 2010,pp. 55-62.
- M. Egele et al. , "A Survey on Automated Dynamic Malware Analysis Techniques and Tools," ACM ComputingSurveys,2012;https://www. seclab. tuwien. ac. at/papers/malware_survey. pdf.
- W. Enck et al. , "A Study of Android Application Security,"Proc. 20th Usenix Security Symp. , Usenix, 2011;http://static. usenix. org/events/sec11/tech/full_papers/Enck. pdf.
- IDC, "Mobile Phone Market Grows 17. 9% in Fourth Quarter, According to IDC," press release, 28 Jan. 2011; www. idc. com/about/viewpressrelease. jsp?containerId=prUS22679411.
- D. Barrera et al. , "A Methodology for Empirical Analysis of Permission-Based Security Models and Its Application to Android," Proc. 17th ACM Conf. Computer and Communications Security (CCS 10), ACM, 2010, pp. 73-84.
- A. D. Schmidt et al. , "Detecting Symbian OS Malware through Static Function Call Analysis," Proc. 4th Int'l Conf. Malicious and Unwanted Software (Malware 09), IEEE, 2009, pp. 15-22.
- M. Egele et al. , "PiOS: Detecting Privacy Leaks in iOS Applications,"Proc. ISOC Network and Distributed System Security Symp. (NDSS 11), ISOC, 2011; www. iseclab. org/papers/egele-ndss11. pdf.
Index Terms
Keywords