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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Zhao Tie-shan Li Zeng-zhi Wang Ze-ming Lin Xiao-fen |
| Copyright Year | 2008 |
| Description | Author affiliation: Xi-chang Satellite Launch Center, Xi-chang (Zhao Tie-shan) |
| Abstract | Anomaly detection can detect unknown or new intrusions, and there are increasing interest in it. A normal network behavior model is necessary in any anomaly detection. Assuming that abnormal network behaviors are obviously different from normal ones, there should be some abnormal network packets that are obviously different from normal packets. Normal network packets are disassembled into binary strings whose lengths are l, and all the strings construct a set $U_{normal}.$ The normal network behavior model is a set $U_{model}.$ The length of each element in $U_{model}$ is also l. $U_{model}$ is made up of those elements each of which matches at least one element in $U_{normal}$ and doesn't match any other element in $U_{model}.$ Normal network behaviors hide in $U_{model}.$ The size of $U_{model}$ is discussed. Experimental results indicate that abnormal network behaviors can feasibly be detected with $U_{model}.$ Further work is to construct a more feasible $U_{model}$ to put into practice. |
| Starting Page | 1405 |
| Ending Page | 1408 |
| File Size | 960072 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781424416851 |
| DOI | 10.1109/ICNSC.2008.4525439 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2008-04-06 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Intrusion detection Humans Computer architecture Satellites Data mining Computer vision Spatial databases Cities and towns Electronic mail Protocols |
| Content Type | Text |
| Resource Type | Article |
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