Paper Title:
Automatic Detection System of Web-Based Malware for Management-Type SaaS
  Abstract

In management-type SaaS, user must be permitted to submit tenant’s business data on the SP's server, which may be embedded by the web-based malware. In this paper, we propose the automatic detecting method of web-based malware based on behavior analysis, which can make sure to meet the SLA by detecting the web-based malware actively. First, tenant’s update is downloaded to the bastion host by the web crawler. Second, it detect the behavior that tenant’s update is opened by IE. In order to break the malicious behavior during detecting, the IE has been injected in the DLL. Last, if the sensitive operations happen, the URL is appended to the malicious address database, and at same time the system administrator is informed by the SMS. The result of test is shown that our method can detect the web-based malware accurately. It helps to improve the service level of the management-type SaaS.

  Info
Periodical
Advanced Materials Research (Volumes 129-131)
Edited by
Xie Yi and Li Mi
Pages
670-674
DOI
10.4028/www.scientific.net/AMR.129-131.670
Citation
X. Jing, D. J. He, L. S. Zan, J. L. Li, W. Yao, "Automatic Detection System of Web-Based Malware for Management-Type SaaS", Advanced Materials Research, Vols. 129-131, pp. 670-674, 2010
Online since
August 2010
Export
Price
$32.00
Share

In order to see related information, you need to Login.

In order to see related information, you need to Login.

Authors: Shariq Hussain, Zhao Shun Wang, Ibrahima Kalil Toure
Chapter 2: Information Technologies and Information Processing Algorithms
Abstract:Web services technology gained popularity in recent years and became an evident model of Web. The benefits offered by web services include...
1431
Authors: Lian Jun Zhu, Hua Cong
Chapter 10: Mechanical Engineering, Tools and Devices
Abstract:The maintenance way of armored vehicle engine is hard time maintenance and breakdown maintenance in our army. So, the situation of lack or...
606