Most Cited Article in Computational science & Applications

Most Cited Article in Computational science & Applications


International Journal on Computational Science & Applications (IJCSA)

ISSN: 2200 - 0011




Basic survey on Malware Analysis, Tools and Techniques
Dolly Uppal1, Vishakha Mehra1 and Vinod Verma2,
 1Rajasthan Technical University, India and 2Govt. Engineering College, India

Abstract

The term malware stands for malicious software. It is a program installed on a system without the knowledge of owner of the system. It is basically installed by the third party with the intention to steal some private data from the system or simply just to play pranks. This in turn threatens the computer’s security, wherein computer are used by one’s in day-to-day life as to deal with various necessities like education, communication, hospitals, banking, entertainment etc. Different traditional techniques are used to detect and defend these malwares like Antivirus Scanner (AVS), firewalls, etc. But today malware writers are one step forward towards then Malware detectors. Day-by-day they write new malwares, which become a great challenge for malware detectors. This paper focuses on basis study of malwares and various detection techniques which can be used to detect malwares.

Keywords

Malware, obfuscation, normalization, Deobfuscation, oligomorphic etc.



REFERENCES

[1]  Arun Lakhotia ,Aditya Kapoor , Eric Uday , “Are Metamorphic Viruses Really Invincible ? Part 2” , Virus Bulletin, January 2005.

[2] Robin Sharp, An Introduction to Malware, Spring 2012. Retrieved on April, 10, 2013 http://orbit.dtu.dk/fedora/objects/orbit:82364/datastreams/file_4918204/content

[3]    A. H. Sung, J. Xu, P. Chavez and S. Mukkamala: Static Analyzer of Vicious Executables (SAVE), Proceedings of the 20th Annual Computer Security Applications Conference (ACSAC‟04), IEEE.J.Rabek, R.Khazan, S.Lewandowski and R.Cunningham. Detection of injected, dynamically generated, and obfuscated malicious code. In Proceedings of the 2003 ACM Workshop on Rapid Malcode, pages 76–82, 2003.

[4]   G. McGraw and G. Morrisett. Attacking malicious code: A report to the infosec research council. IEEE Software, 17(5):33–44, 2000

[5]     Muazzam Ahmed Siddiqui: Data Mining Methods for Malware Detection: University of Central Florida, 2008.

[6]    Robiah Y, SitiRahayu S., MohdZaki M, Shahrin S., Faizal M. A., Marliza R. “A New Generic Taxonomy on Hybrid Malware Detection Technique ” (IJCSIS) International Journal of Computer Science and Information Security, Vol. 5, No. 1, 2009

[7]     Savan Gadhiya, Kaushal Bhavshar “Techniques for Malware Analysis” Volume 3, Issue 4, April 2013 ISSN: 2277 128X International Journal of Advanced Research in Computer Science and Software Engineering

[8]   Vasudevan, A., &Yerraballi, R., “SPiKE: Engineering Malware Analysis Tools using Unobtrusive Binary-Instrumentation”. Australasian Computer Science Conference (ACSC 2006),2006

[9]    Bergeron, J., Debbabi, M., Desharnais, J., M., E., M., Lavoie, Y., &Tawbi, N. (2001). Static Detection of Malicious Code in executables programs. International Journal of Req Engineering

[10] Mohammad Nour Saffaf: Malware Analysis Bachelor‟s Thesis., Helsinki Metropolia University of Applied Sciences, May 27, 2009

Authors

Dolly Uppal

Scholar of Masters of Technology from Rajasthan Technical University, Kota, Rajasthan, India. Passed out B.Tech. From Rajasthan Technical University, Kota, Rajasthan, India in 2012. Research area: Malware Analysis
  
VishakhaMehra

Scholar of Masters of Technology from Rajasthan Technical University, Kota, Rajasthan, India. Passed out B.Tech.From Rajasthan Technical University, Kota, Rajasthan, India in 2011. Research are  a: Malware Analysis

Comments

Popular posts from this blog

6th International Conference on NLP & Artificial Intelligence Techniques (NLAI 2025)

International Journal on Computational Science & Applications (IJCSA)

International Journal on Computational Science & Applications (IJCSA)