DocumentCode
1812644
Title
ICAS: An inter-VM IDS Log Cloud Analysis System
Author
Yang, Shun-Fa ; Chen, Wei-Yu ; Wang, Yao-Tsung
Author_Institution
Free Software Lab., Nat. Center for High-Performance Comput., Taichung, Taiwan
fYear
2011
fDate
15-17 Sept. 2011
Firstpage
285
Lastpage
289
Abstract
Cloud computing can reduce mainframe management costs, so more and more users choose to build their own cloud hosting environment. In cloud computing, all the commands through the network connection, therefore, information security is particularly important. In this paper, we will explore the types of intrusion detection systems, and integration of these types, provided an effective and output reports, so system administrators can understand the attacks and damage quickly. With the popularity of cloud computing, intrusion detection system log files are also increasing rapidly, the effect is limited and inefficient by using the conventional analysis system. In this paper, we use Hadoop´s MapReduce algorithm analysis of intrusion detection System log files, the experimental results also confirmed that the calculation speed can be increased by about 89%. For the system administrator, IDS Log Cloud Analysis System (called ICAS) can provide fast and high reliability of the system.
Keywords
cloud computing; security of data; virtual machines; Hadoop MapReduce algorithm analysis; ICAS; cloud computing; cloud hosting environment; conventional analysis system; information security; interVM IDS log cloud analysis system; intrusion detection system log files; mainframe management cost reduction; Cloud computing; Computer architecture; Correlation; File systems; Intrusion detection; Monitoring; Cloud Computing; Hadoop; IDS; MapReduce;
fLanguage
English
Publisher
ieee
Conference_Titel
Cloud Computing and Intelligence Systems (CCIS), 2011 IEEE International Conference on
Conference_Location
Beijing
Print_ISBN
978-1-61284-203-5
Type
conf
DOI
10.1109/CCIS.2011.6045076
Filename
6045076
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