Method for determining the lengths of protocol keywords based on maximum likelihood probability
A left-to-right inhomogeneous cascaded hidden Markov modelwas proposed and applied to model application protocol messages.The proposed modeldescribed the transition probabilities between states and the evolution rule of phases inside the states,revealed the transition feature ofmessage fields and th...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | zho |
| Published: |
Editorial Department of Journal on Communications
2016-06-01
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| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2016121/ |
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| Summary: | A left-to-right inhomogeneous cascaded hidden Markov modelwas proposed and applied to model application protocol messages.The proposed modeldescribed the transition probabilities between states and the evolution rule of phases inside the states,revealed the transition feature ofmessage fields and the left-to-right Markov characteristicsinside the fields.The protocol keywords were inferred by selecting lengths with maximum likelihood probability,and then the message format was recovered.The experimental results demonstrated that the proposed method perform well in protocol keyword extraction and message format recovery. |
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| ISSN: | 1000-436X |