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題名：以知識本體為基礎建構病毒分類知識系統
書刊名：電子商務學報
作者：許通安／洪智力 引用關係／黃盈豪
作者(外文)：Hsu, Tong-an／Hung, Chihli／Huang, Ying-hao
出版日期：2011
卷期：13:4
頁次：頁817-840
主題關鍵詞：電腦病毒分類；知識本體；自我組織映射網路；Computer virus classification；Ontology；Self-organizing map
原始連結：連回原系統網址new window
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  • 點閱點閱:14
在網際網路時代裡，形形色色的網路應用在無地域限制下快速的發展。同時，基於某種原因，電腦病毒開發者，也將不斷開發出新型的變種電腦病毒，藉由網際網路的便利性四處散佈。當使用者遭受電腦病毒感染與威脅時，快速識別出電腦病毒的型態，並找尋相關解決方案是非常重要的。本研究提出藉由知識本體結合機器學習的創新方式，進行電腦病毒的分類，具體而言，本研究採用自我組織映射網路（self-organizing map）結合 k平均法（k-means）的自動分群技術，並導入 C4.5決策樹演算法以建立電腦病毒的知識階層架構。此種方式能夠以客觀的方式迅速有效的自動化塑模電腦病毒知識本體，並能透過本體規則推論找出最適合的病毒感染解決方案。
In the era of Internet, many varied information flows prompt a rich of usage over Internet without geographical limitation. However, for some purpose, many computer virus creators also take the benefit of Internet and make varied viruses diffuse ubiquitously on the Internet. It should be necessary to recognize the virus type and look for solutions immediately when a computer is attacked by a virus. Based on the integration of ontology learning and machine learning, this research proposes a useful solution to classify viruses to their associated categories. More specifically, we propose a novel method, which integrates self-organizing map (SOM) with K-means into C4.5 decision tree in order to objectively produce a hierarchical knowledge base for virus. Our proposed method is able to build the computer virus ontology automatically, effectively and efficiently and find the most suitable solution for an infected computer via rule inference in this computer virus ontology.
期刊論文
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14.Chau, K. W.(2007)。An ontology-based knowledge management system for flow and water quality modeling。Advances in Engineering Software，38(3)，172-181。  new window
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17.Gruber, T. R.(1993)。Translation approach to portable ontology specification。Knowledge Acquisition，5(2)，199-220。  new window
18.Hung, C.(2009)。Knowledge-based rule extraction from self-organizing maps。Lecture Notes in Computer Science，5507，139-146。  new window
19.Laaksonen, J.、Koskela, M.、Laakso, S.、Oja, E.(2000)。PicSOM - content-based image retrieval with self-organizing maps。Pattern Recognition Letters，1199-1207。  new window
20.Swartout, W.、Austin, T.(1999)。Ontologies。IEEE Intelligence Systems，14(1)，18-19。  new window
21.Tsai, J. T.、Chou, J. H.、Liu, T. K.(2006)。Optimal design of digital IIR filters by using hybrid Taguchi genetic algorithm。IEEE Transactions on Industrial Electronics，53(3)，867-879。  new window
22.Vapnik, V. N.(1999)。An overview of statistical learning theory。IEEE Transactions on Neural Networks，10(5)，988-999。  new window
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會議論文
1.Miller, G. A.(1985)。WordNet: A dictionary browser。Waterloo。25-28。  new window
2.Sie, S. H.、Yeh, J. H.(2006)。Automatic ontology generation using schema information526-531。  new window
3.Khan, L.、Feng, L.(2002)。Ontology construction for information selection。Crystal City, Virginia。122-127。  new window
4.Kong, H.、Hwang, M.、Kim, P.(2006)。Design of the automatic ontology building system about the specific domain knowledge1405-1408。  new window
5.Elliman, D. G.、Pulido, J. R.(2001)。Automatic derivation of on-line document ontologies。Budapest Hungary。  new window
6.Guarino, N.(1998)。Formal ontology and information systems。Italy。3-15。  new window
7.Honkela, T.、Kaski, S.、Lagus, K.、Kohonen, T.(1997)。WEBSOM- self-organizing maps of document collections。Espoo, Finland。310-135。  new window
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12.Zhou, W.、Liu, Z. T.、Zhao, Y.(2007)。Ontology learning by clustering based on fuzzy formal concept analysis204-210。  new window
圖書
1.Noy, N. F.、McGuinness, D. L.(2001)。Ontology development 101: a guide to creating your first ontology。Stanford, CA：Stanford University。  new window
2.Quinlan, J. Rose(1993)。C4.5: Programs for Machine Learning。Morgan Kaufmann Publishers。  new window
3.Witten, Ian H.、Frank, Eibe(2005)。Data Mining: Practical Machine Learning Tools and Techniques。Amsterdam：Morgan Kaufmann。  new window
4.Deboeck, G.(1998)。In Visual Explorations in Finance with Self-Organizing Maps。London。  new window
5.Han, J.、Kamber, M.(2007)。Data Mining: Concepts and Techniques。Morgan Kaufmann Press。  new window
6.Kohonen, T.(1984)。In Self Organizing and Associative Memory。Berlin。  new window
 
 
 
 
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