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Survey of Unknown Malware Attack Finding

Survey of Unknown Malware Attack Finding

Murugan Sethuraman Sethuraman
Copyright: © 2018 |Pages: 17
ISBN13: 9781522531296|ISBN10: 1522531297|EISBN13: 9781522531302
DOI: 10.4018/978-1-5225-3129-6.ch011
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MLA

Sethuraman, Murugan Sethuraman. "Survey of Unknown Malware Attack Finding." Applied Computational Intelligence and Soft Computing in Engineering, edited by Saifullah Khalid, IGI Global, 2018, pp. 260-276. https://doi.org/10.4018/978-1-5225-3129-6.ch011

APA

Sethuraman, M. S. (2018). Survey of Unknown Malware Attack Finding. In S. Khalid (Ed.), Applied Computational Intelligence and Soft Computing in Engineering (pp. 260-276). IGI Global. https://doi.org/10.4018/978-1-5225-3129-6.ch011

Chicago

Sethuraman, Murugan Sethuraman. "Survey of Unknown Malware Attack Finding." In Applied Computational Intelligence and Soft Computing in Engineering, edited by Saifullah Khalid, 260-276. Hershey, PA: IGI Global, 2018. https://doi.org/10.4018/978-1-5225-3129-6.ch011

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Abstract

Intrusion detection system(IDS) has played a vital role as a device to guard our networks from unknown malware attacks. However, since it still suffers from detecting an unknown attack, i.e., 0-day attack, the ultimate challenge in intrusion detection field is how we can precisely identify such an attack. This chapter will analyze the various unknown malware activities while networking, internet or remote connection. For identifying known malware various tools are available but that does not detect Unknown malware exactly. It will vary according to connectivity and using tools and finding strategies what they used. Anyhow like known Malware few of unknown malware listed according to their abnormal activities and changes in the system. In this chapter, we will see the various Unknown methods and avoiding preventions as birds eye view manner.

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