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Content Provider | IEEE Xplore Digital Library |
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Author | He Xue Ni |
Copyright Year | 2014 |
Description | Author affiliation: Inf. Eng. Dept., Lanzhou Vocational Tech. Coll., Lanzhou, China (He Xue Ni) |
Abstract | In view of the existing cloud computing platform for network intrusion data set, serious problems, the network intrusion detection and prevention into cloud computing platform. With regard to various threats to carry out a full range of real-time active monitoring, detection and defense, the detection algorithm - CCPSWNIDA algorithm for intrusion platform network computing cloud based on sliding window. The advantage of CCPSWNIDA by using sliding window, with a size of K window, the binary exponential d from left to right (also from right to left) sliding, gets a valid set, the request message and the response message proportional law, and to monitor the abnormal situation, once found the percentage change beyond the normal range so, is that abnormal, alarm, to achieve the purpose of intrusion detection, results show that, the algorithm is advanced, a certain validity, can detect network intrusion defense solution. |
Starting Page | 927 |
Ending Page | 930 |
File Size | 386898 |
Page Count | 4 |
File Format | |
ISBN | 9781479962396 |
DOI | 10.1109/CIT.2014.172 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2014-09-11 |
Publisher Place | China |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Computers Algorithm design and analysis Cloud computing Cloud computing platform Intrusion detection Silicon Servers sliding window Computer crime DDoS detection algorithm |
Content Type | Text |
Resource Type | Article |
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