Published May 3, 2016 | Version v1
Journal article Open

Malware detection and removal using patch file distribution in android smartphone

Authors/Creators

  • 1. Student, Vel Tech High Tech Dr. Rangarajan Dr. Sakunthala Engineering College
  • 2. Assistant Professor, Vel Tech High Tech Dr. Rangarajan Dr. Sakunthala Engineering College

Description

As the smartphone devices are becoming popular, and there is a massive increase of personal data being transmitted and stored on these devices. Thus, the impact of the mobile phones due to the malware is becoming dangerous and also poses a critical threat to the network security. In the existing system, an antivirus application is used for the detection and removal of this malware from the device. However, the use of antivirus application degrades the overall performance of the mobile phone. So in the proposed system, a two-layer network process is developed for real-time virus propagation through both Bluetooth and SMS. The user actions invoke the virus and spread into their device. It also contains an Android Application, which has a connection to the remote server. The server manages the information regarding the virus and detects the malicious content. Moreover, an automatic alert is sent to the server and then the corresponding patch files are delivered to the affected mobile.

Files

Malware_detection_and_removal_using_patch_file_distribution_in_android_smartphone.pdf

Files (664.6 kB)

Additional details

References

  • S. Peng, S. Yu, and A. Yang, “Smartphone malware and its propagation modeling: A survey,” IEEE Commun. Surveys Tuts., vol. 16,no. 2, pp. 925–941, 2014.
  • G. Yan and S. Eidenbenz, “Modeling propagation dynamics of Bluetooth worms(extended version),” IEEE Trans. Mobile Comput.,vol. 8, no. 3, pp. 353–368, Mar. 2009
  • Mohsen Damshenas, Ali ehghantanha, Ramlan Mahmoud, ” A Survey on Malware propagation, analysis, and detection,” International Journal of Cyber-Security and Digital Forensics (IJCSDF) Vol. 2, No. 4, pp 10-29, Dec 2013
  • Stelios Sidiroglou, John Ioannidis, Angelos D. Keromytis, and Salvatore J. Stolfo, “An Email Worm Vaccine Architecture” Information Security Practice and Experience(ISPEC) pp 97-108, April 2005
  • Ajay Gupta, Daniel C. DuVarney, “Using predators to combat worms and viruses: A simulation based study,” IEEE Trans, pp 116-125 Dec 2004
  • Kejun Xin, Gang Li, Zhongyuan Qin, Qunfang Zhang, “Malware detection in smartphone using Hidden Markov Model,” Fourth International Conference on Multimedia Information Networking and Security, pp- 867-870, Nov 2014
  • Wonjoo PARK, Sun-joong Kim, Won Ryu, “Detecting malware with similarity to android applications” Information and Communication Technology Convergence (ICTC), pp 1249-1251, Oct 2015
  • Liang Xie, Hui Song, Trent Jaeger, and Sencun Zhu, ”A systematic approach for cell-phone worm containment” Proceedings of the 17th international conference on World Wide Web, pp 1083-1084, April 2008