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2018 | OriginalPaper | Chapter

Research on Cloud-Based on Web Application Malware Detection Methods

Authors : Ki-Hwan Kim, Dong-IL Lee, Yong-Tae Shin

Published in: Advances in Computer Science and Ubiquitous Computing

Publisher: Springer Singapore

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Abstract

Recently, the use of the Internet has increased, and the spread of malicious code through web application vulnerabilities has become a major threat. In this paper, we propose a technology to protect web applications securely by detecting unknown malicious code through signature analysis of cloud based web application.

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Literature
1.
SK Infosec. Attack Percentage by Hacking Source (2015)
2.
Park, S.: Collaboration Contents Fractal Service and Intrusion Detection framework based on Cloud. Korea Multimedia Society (2017)
3.
Kim, Y.-S.: A Study on the Acceleration and Automation of Dynamic Malware Analysis Based on Cloud Computing (2017)
4.
Korea Information Processing Society. A Study on Detection of Malicious Code Diffusion Site (2008)
5.
Korea Information Security Society. A Study on Detection of Malicious Code Hidden Web Application by Analysis of Malicious Code Behavior Based on WhiteList (2011)
6.
Kim, K.: A Study of Techniques in the Web Homepage Malware Detection. Korean Institute of Electromagnetic Engineering and Science (2014)
7.
F1Security Corp. Introduction of WMDS (2017)
Metadata
Title
Research on Cloud-Based on Web Application Malware Detection Methods
Authors
Ki-Hwan Kim
Dong-IL Lee
Yong-Tae Shin
Copyright Year
2018
Publisher
Springer Singapore
Book
Advances in Computer Science and Ubiquitous Computing

Print ISBN: 978-981-10-7604-6

Electronic ISBN: 978-981-10-7605-3

Copyright Year: 2018

DOI
https://doi.org/10.1007/978-981-10-7605-3_130