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Titlebook: Data Warehousing and Data Mining Techniques for Cyber Security; Anoop Singhal Book 2007 Springer-Verlag US 2007 Cyber.Data.Data Warehousin

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發(fā)表于 2025-3-21 19:23:18 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Data Warehousing and Data Mining Techniques for Cyber Security
編輯Anoop Singhal
視頻videohttp://file.papertrans.cn/264/263199/263199.mp4
概述First book to combine application of data warehousing and data mining techniques to the important emerging area of computer security.Reviews current state of intrusion detection systems and their limi
叢書名稱Advances in Information Security
圖書封面Titlebook: Data Warehousing and Data Mining Techniques for Cyber Security;  Anoop Singhal Book 2007 Springer-Verlag US 2007 Cyber.Data.Data Warehousin
描述.Data warehousing and data mining provide techniques for collecting information from distributed databases and for performing data analysis. The ever expanding, tremendous amount of data collected and stored in large databases has far exceeded our human ability to comprehend--without the proper tools. There is a critical need for data analysis that can automatically analyze data, summarize it and predict future trends. In the modern age of Internet connectivity, concerns about denial of service attacks, computer viruses and worms are extremely important...Data Warehousing and Data Mining Techniques for Cyber Security contributes to the discipline of security informatics. The author discusses topics that intersect cyber security and data mining, while providing techniques for improving cyber security. Since the cost of information processing and internet accessibility is dropping, an increasing number of organizations are becoming vulnerable to cyber attacks. This volume introduces techniques for applications in the area of retail, finance, and bioinformatics, to name a few...Data Warehousing and Data Mining Techniques for Cyber Security is designed for practitioners and researchers
出版日期Book 2007
關(guān)鍵詞Cyber; Data; Data Warehousing; Denial of Service; Information; LA; Security; Singhal; Techniques; bioinformat
版次1
doihttps://doi.org/10.1007/978-0-387-47653-7
isbn_softcover978-1-4419-3891-6
isbn_ebook978-0-387-47653-7Series ISSN 1568-2633 Series E-ISSN 2512-2193
issn_series 1568-2633
copyrightSpringer-Verlag US 2007
The information of publication is updating

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發(fā)表于 2025-3-21 22:28:40 | 只看該作者
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Data Modeling and Data Warehousing Techniques to Improve Intrusion Detection,. Current IDS do not provide support for historical data analysis and data summarization. This chapter presents techniques to model network traffic and alerts using a multi-dimensional data model and .. This data model was used to perform network security analysis and detect denial of service attack
地板
發(fā)表于 2025-3-22 05:09:46 | 只看該作者
Minds: Architecture & Design,ifferent aspects of cyber security. The various components of MINDS such as the scan detector, anomaly detector and the profiling module detect different types of attacks and intrusions on a computer network. The scan detector aims at detecting scans which are the percusors to any network attack. Th
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Book 2007expanding, tremendous amount of data collected and stored in large databases has far exceeded our human ability to comprehend--without the proper tools. There is a critical need for data analysis that can automatically analyze data, summarize it and predict future trends. In the modern age of Intern
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發(fā)表于 2025-3-22 20:44:38 | 只看該作者
Cem Keskin,Oya Aran,Lale Akarune system that is being successfully used at Army Research Labs. Our system has helped the security analyst in detecting intrusions and in historical data analysis for generating reports on trend analysis.
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發(fā)表于 2025-3-22 21:44:02 | 只看該作者
Data Modeling and Data Warehousing Techniques to Improve Intrusion Detection,e system that is being successfully used at Army Research Labs. Our system has helped the security analyst in detecting intrusions and in historical data analysis for generating reports on trend analysis.
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發(fā)表于 2025-3-23 04:52:01 | 只看該作者
1568-2633 current state of intrusion detection systems and their limi.Data warehousing and data mining provide techniques for collecting information from distributed databases and for performing data analysis. The ever expanding, tremendous amount of data collected and stored in large databases has far excee
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發(fā)表于 2025-3-23 07:52:20 | 只看該作者
1568-2633 duces techniques for applications in the area of retail, finance, and bioinformatics, to name a few...Data Warehousing and Data Mining Techniques for Cyber Security is designed for practitioners and researchers978-1-4419-3891-6978-0-387-47653-7Series ISSN 1568-2633 Series E-ISSN 2512-2193
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