PDF Ebook Data Warehousing and Data Mining Techniques for Cyber Security (Advances in Information Security), by Anoop Singhal
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Data Warehousing and Data Mining Techniques for Cyber Security (Advances in Information Security), by Anoop Singhal
PDF Ebook Data Warehousing and Data Mining Techniques for Cyber Security (Advances in Information Security), by Anoop Singhal
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The application of data warehousing and data mining techniques to computer security is an important emerging area, as information processing and internet accessibility costs decline and more and more organizations become vulnerable to cyber attacks. These security breaches include attacks on single computers, computer networks, wireless networks, databases, or authentication compromises. This book describes data warehousing and data mining techniques that can be used to detect attacks. It is designed to be a useful handbook for practitioners and researchers in industry, and is also suitable as a text for advanced-level students in computer science.
- Sales Rank: #3818945 in Books
- Published on: 2006-12-13
- Original language: English
- Number of items: 1
- Dimensions: 9.21" h x .44" w x 6.14" l, .93 pounds
- Binding: Hardcover
- 159 pages
From the Back Cover
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 in industry. This book is also suitable for upper-undergraduate and graduate-level students in computer science.
Most helpful customer reviews
1 of 1 people found the following review helpful.
An excellent overview book
By AP
I am a professor in computer security. I found the book to be an excellent way to get an introduction to applying data mining techniques to problems such as intrusion detection. People in the security field will probably find the 2nd and 3rd chapters to be introductory in nature and something they largely know. However, the book picks up pace from Chapter 4 onwards. Chapters 4-7 contain a wealth of information on some key research projects that are investigating the applicability of data mining and data warehousing techniques to cyber-security. While information on these projects can be found elsewhere as well, this book does a nice job of bringing them together in one collection. The book should serve as an excellent starting reference for researchers and practitioners who are interested in investigating the use of data mining techniques to cyber-security.
0 of 0 people found the following review helpful.
It's not worth spending $89
By harik
I have been trying to research and implement a Network Intrusion Detection System using Data mining techniques as part of my school project. Last week while browsing through some of the data mining books in a book store, I came across this book. After going through the book I found out that it's just a collection of information that is freely available over the web and some IEEE papers. So, I would not reccommend this book to any folks who are interested in knowing about data mining techniques for cyber security.
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