學術資源整合系統-相關推薦
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作者 | Min-Feng Lee |
出版日期 | 20180703 |
已接受 | 20180510 |
著作名稱 | Adaptive Cyber Security Computing Framework in Machine Learning
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會議名稱 | The 7th International Conference on Frontier Computing (FC 2018) - Theory, Technologies and Applications |
會議地點 | KUALA LUMPUR, MALAYSIA |
主辦單位 | IET Taipei Local Network |
國際性會議 | Y |
主題 | 資訊科學 |
關鍵字 | Cyber security, adaptive computing, machine learning |
摘要 | Cyber security is great attention in recently years. The attack from internet is not only standard model but also various menace is occurring continuously. The con-ventional prevent way is using the figure of attack on the secure facilities, but the unconventional way to attack and how to detect? The core of the question is the user which the behavior on the internet will make them infection from malware or malicious mail. In the paper build an adaptive cyber security computing frame-work attempt to find the way detect the risk from internet for personalization. This model was made from adaptive cyber security computing framework and use the simple way to test the feasibility. In the future will collect the more data, add more parameters and modify the adaptive cyber security computing model ef-ficacious and precise. |
系統號 | NO000004733 |
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