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篇名 |
A Cloud User Behavior Authentication Model Based on Multi-label Hyper-network
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並列篇名 | A Cloud User Behavior Authentication Model Based on Multi-label Hyper-network |
作者 | Ruoshui Liu、Xin Wang、Juan Du、Ping Xie |
英文摘要 | With the advent of the Big Data era, user information security is particularly important. How to build trust between users and the cloud is an important issue. In response to this problem, this paper proposes a cloud user behaviour authentication model based on multi-label hyper-network, which implements the fine-grained division of user behaviour and improves the accuracy of anomaly detection. This method trains the user’s normal behaviour database into a hyper-network, adds the current user behaviour as an instance to the hyper-network for classification. If a label is successfully found in this classification, it is identified as a normal user. Otherwise, the model updates the weight of the hyper-network, replaces the super edge, and looks for the label again. If the label is found, it is identified as a risk user, otherwise it is identified as malicious user. The simulation results show that there is a significant improvement in the accuracy of classification. Applying the method in this paper to the detection of user behavior can effectively improve the detection rate of user behavior, realize finegrained analysis of user behavior, and improve the processing ability of user behavior. |
起訖頁 | 2071-2081 |
關鍵詞 | User behavior、Authentication、Multi-label、Hyper-network |
刊名 | 網際網路技術學刊 |
期數 | 201912 (20:7期) |
出版單位 | 台灣學術網路管理委員會 |
DOI |
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