About this Journal Submit a Manuscript Table of Contents
Discrete Dynamics in Nature and Society
Volume 2012 (2012), Article ID 262193, 12 pages
Research Article

A Novel Behavior-Based Virus Detection Method for Smart Mobile Terminals

1School of Computer Science and Technology, Chongqing University of Posts and Telecommunications, Chongqing 400065, China
2Department of Mathematics and Computer Science, Nicholls State University, Thibodaux, LA 70310, USA

Received 1 July 2012; Revised 2 August 2012; Accepted 4 August 2012

Academic Editor: Xiaofan Yang

Copyright © 2012 Yanbing Liu et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. J. Cheng, S. H. Y. Wong, H. Yang, and S. Lu, “SmartSiren: Virus detection and alert for smartphones,” in Proceedings of the 5th International Conference on Mobile Systems, Applications and Services (MobiSys '07), pp. 258–271, ACM, June 2007. View at Publisher · View at Google Scholar · View at Scopus
  2. R. T. Llamas, W. Stofega, S. D. Drake, and S. K. Crook, “Worldwide smartphone 2011–2015 forecast and analysis,” Tech. Rep., International Data Corporation, 2011. View at Google Scholar
  3. D. H. Shih, B. Lin, H. S. Chiang, and M. H. Shih, “Security aspects of mobile phone virus: a critical survey,” Industrial Management and Data Systems, vol. 108, no. 4, pp. 478–494, 2008. View at Publisher · View at Google Scholar · View at Scopus
  4. B. Konings, J. Nickels, and F. Schaub, “Catching AuthTokens in the Wild The Security of Google's Client Login Protocol,” http://www.uni-ulm.de/en/in/mi/staff/koenings/catching-authtokens.html.
  5. Z. Chang-Xing, “Prevention and analysis on development of mobile phone virus,” Information Tecnology, vol. 2, pp. 123–124, 2010. View at Google Scholar
  6. “Celeste Biever, Boston, Phone viruses: how bad is it?” http://www.newscientist.com/article.ns?id=dn7080.
  7. J. A. Morales, P. J. Clarke, Y. Deng, and B. M. Golam Kibria, “Testing and evaluating virus detectors for handheld devices,” Journal in Computer Virology, vol. 2, no. 2, pp. 135–147, 2006. View at Publisher · View at Google Scholar · View at Scopus
  8. A. D. Schmidt, R. Bye, H. G. Schmidt et al., “Static analysis of executables for collaborative malware detection on android,” in Proceedings of the IEEE International Conference on Communications (ICC '09), pp. 1–5, June 2009. View at Publisher · View at Google Scholar · View at Scopus
  9. A.-D. Schmidt, A. Camtepe, and S. Albayrak, “Static smartphone malware detection,” in Proceedings of the 5th Security Research Conference, p. 146, 2010.
  10. A. D. Schmidt, J. H. Clausen, A. Camtepe, and S. Albayrak, “Detecting symbian OS malware through static function call analysis,” in Proceedings of the 4th International Conference on Malicious and Unwanted Software (MALWARE '09), pp. 15–22, October 2009. View at Publisher · View at Google Scholar · View at Scopus
  11. M. Egele, T. Scholte, E. Kirda, and C. Kruegel, “A survey on automated dynamic malware analysis techniques and tools,” ACM Computing Surveys, vol. 44, 2012. View at Publisher · View at Google Scholar
  12. A.-D. Schmidt, H.-G. Schmidt, J. Clausen et al., “Enhancing security of linux-based android devices,” in Proceedings of the 15th International Linux Kongress, October 2008.
  13. W. Enck, P. Gilbert, B.-G. Chun, and N. A. Sheth, “Taintdroid: an information-flow tracking system for realtime privacy monitoring on smartphones,” in Proceedings of the 9th USENIX Cconference on Operating Systems Design and Implementation, ACM, October 2010.
  14. T. K. Buennemeyer, T. M. Nelson, L. M. Clagett, J. P. Dunning, R. C. Marchany, and J. G. Tront, “Mobile device profiling and intrusion detection using smart batteries,” in Proceedings of the 41st Annual Hawaii International Conference on System Sciences (HICSS '08), pp. 296–305, January 2008. View at Publisher · View at Google Scholar · View at Scopus
  15. A. Shabtai, U. Kanonov, Y. Elovici, C. Glezer, and Y. Weiss, “"Andromaly": a behavioral malware detection framework for android devices,” Journal of Intelligent Information Systems, vol. 38, pp. 161–190, 2012. View at Publisher · View at Google Scholar · View at Scopus
  16. “PConline, The first quarter of 2011 global Android mobile phone safety reports,” http://pcedu.pconline.com.cn/android/1104/2388612_2.html.
  17. C. A. Hidalgo, “Conditions for the emergence of scaling in the inter-event time of uncorrelated and seasonal systems,” Physica A, vol. 369, no. 2, pp. 877–883, 2006. View at Publisher · View at Google Scholar · View at Scopus
  18. W. Li-Na, X. We, and L. Zhu, “Research and implementation of an anomaly intrusion detection system model based on similarity cluster analysis,” Minimicro Systems, vol. 25, pp. 1333–1336, 2004. View at Google Scholar
  19. S. Hong-Guang and W. Yu-wei, “An improved k-means algorithm for document clustering,” Journal of Shandong University, vol. 43, pp. 1–5, 2008. View at Google Scholar
  20. M. N. Do and M. Vetterli, “Wavelet-based texture retrieval using generalized Gaussian density and Kullback-Leibler distance,” IEEE Transactions on Image Processing, vol. 11, no. 2, pp. 146–158, 2002. View at Publisher · View at Google Scholar
  21. I. Lopez and N. Sarigul-Klijn, “Distance similarity matrix using ensemble of dimensional data reduction techniques: vibration and aerocoustic case studies,” Mechanical Systems and Signal Processing, vol. 23, no. 7, pp. 2287–2300, 2009. View at Publisher · View at Google Scholar · View at Scopus