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ISSN: 0976-4860

International Journal of Advancements in Technology
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Research Article

A Survey on Malware Propagation Analysis and Prevention Model

Sneha S*, Malathi L and Saranya R

Department of CSE, Vivekanandha College of Engineering for Women, Tiruchengode, Namakkal, Tamilnadu, India

*Corresponding Author:
Sneha S
Department of CSE
Vivekanandha College of Engineering for Women
Tiruchengode, Namakkal
Tamilnadu, India
Tel: +91 7708032927
E-mail: [email protected]

Received Date: November 14, 2015; Accepted Date: November 23, 2015; Published Date: December 12, 2015

Citation: Sneha S, Malathi L, Saranya R (2015) A Survey on Malware Propagation Analysis and Prevention Model. Int J Adv Technol 6: 148. doi: 10.4172/0976-4860.1000148

Copyright: © 2015 Sneha S, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Abstract

In recent years, the security threats imposed by email-based malware, modeling the propagation analysis and prevention of email malware becomes a fundamental technique for predicting its potential damages and developing effective countermeasures. Compared to earlier versions of mail malware, modern email malware exhibits two new features. One is reinfection and another one is self-start. In reinfection, whenever any healthy or infected recipients open the malicious attached file the modern email malware sends its copy to the recipients contact. In self-start, whenever compromised computers restart or malicious files are visited the malware spreads over the system. To avoid these types of issues the security specialists use some of the possible techniques and methods to stop and remove the threats. At the same time the malware developers exploit new malware that bypass implemented security features. In this paper, we analyzed the malware propagation and detecting mechanisms. This survey paper highlights the existing detection and analysis methodologies used for these malicious code.

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