JOURNAL BROWSE
Search
Advanced SearchSearch Tips
A Study of Realtime Malware URL Detection & Prevention in Mobile Environment
facebook(new window)  Pirnt(new window) E-mail(new window) Excel Download
 Title & Authors
A Study of Realtime Malware URL Detection & Prevention in Mobile Environment
Park, Jae-Kyung;
  PDF(new window)
 Abstract
In this paper, we propose malware database in mobile memory for realtime malware URL detection and we support realtime malware URL detection engine, that is control the web service for more secure mobile service. Recently, mobile malware is on the rise and to be new threat on mobile environment. In particular the mobile characteristics, the damage of malware is more important, because it leads to monetary damages for the user. There are many researches in cybercriminals prevention and malware detection, but it is still insufficient. Additionally we propose the method for prevention Smishing within SMS, MMS. In the near future, mobile venders must build the secure mobile environment with fundamental measures based on our research.
 Keywords
Mobile;Malware;Malware URL;Detection;Prevention;Crawling;SMS;
 Language
Korean
 Cited by
 References
1.
Jae-Kyung Park, Sang-Yong Choi, "Studing Security Weaknesses of Android System", International Journal of Security and Its Applications, Vol. 9, No.3, pp. 7-12, Mar. 2015.

2.
Jae-Kyung Park, Sang-Yong Choi, "An Integrity Checking MechanismUsing Physical Independent Storage for Mobile Device", International Journal Control and Automation, Vol.8, No.3, pp.109-114, Mar. 2015.

3.
Jae-Kyung Park, "A Realtime Malware Detection Technique Using Multiple Filter", Journal of The Korea Society of Computer and Information, Vol. 19, No.7, pp. 77-85, July 2014.

4.
Hyo-NamKim, "Realtime hybrid analysis based on multiple profile for prevention of malware", Hongik Univ. Feb. 2014.

5.
Jae-Kyung Park, Sung-Jin Kim, "The Design of the expanded BYOD solutions for business mobile users", Journal of The Korea Society of Computer and Information, Vol. 10, No.10, pp. 107-115, October 2014.

6.
Jin-Kyung Kim, "A design of anomaly detection with automata dynamic profile", Hansei Univ., Feb. 2014.

7.
S. Kimand D. H. Lee, "A study on the vulnerability of integrity verification functions of android-based smartphone banking applications". in Journal of The Korea Institute of Information Security & Cryptology (JKIISC), vol. 23, no. 4, pp. 743-755, Aug. 2013. crossref(new window)

8.
Hyo-Nam, Kimand Jae-Kyoung Park and Yoo-Hun Won, "A Study on the Malware Realtime Analysis Systems Using the Finite Automata", Journal of the Korea society of computer and information, Vol.18, No.5, pp.69-76, Apr. 2013.

9.
H.S. Moon, B.H. Jung, Y.S. Jeon and J.N. Kim, "A Survey of Mobile Malware Detection Techniques", 2013 Electronics and Telecommunications Trends, Vol. 23. No. 3, pp. 39-46, May. 2013.

10.
Y. Zhou and X. Jiang, "Dissecting AndroidMalware: Characterization and Evolution", Proc 33rd IEEE Symp Security and Privacy, Aug. 2012.

11.
Mobile security technology research society, "Demand and outlook for mobile security technology", Data collection for Mobile security technology research society seminar, Sept. Jun. 2011.

12.
Androulidakis, Digital evidence inmobile phones. IT security professional magazine, Issue 13, pp 36-39, Feb. 2010.

13.
http://www.cnet.com/how-to/protect-yourandroid-device-from-malware/

14.
http://blog.trendmicro.com/trendlabs-security-intelligence/the-communication-function-ofmalicious-urls/

15.
http://www.sophos.com/en-us/security-newstrends/security-trends/malware-goes-mobile/10-tips-to-prevent-mobile-malware.aspx

16.
http://blog.trendmicro.com/trendlabs-securityintelligence/android-installer-hijacking-bugused-as-lure-for-malware/

17.
http://www.etnews.com/20150210000170

18.
http://www.siminilbo.co.kr/news/articleView.html?idxno=391594