0
Your cart

Your cart is empty

Books > Computing & IT > Computer communications & networking > Network security

Buy Now

Data Warehousing and Data Mining Techniques for Cyber Security (Hardcover, 2007 ed.) Loot Price: R2,743
Discovery Miles 27 430
Data Warehousing and Data Mining Techniques for Cyber Security (Hardcover, 2007 ed.): Anoop Singhal

Data Warehousing and Data Mining Techniques for Cyber Security (Hardcover, 2007 ed.)

Anoop Singhal

Series: Advances in Information Security, 31

 (sign in to rate)
Loot Price R2,743 Discovery Miles 27 430 | Repayment Terms: R257 pm x 12*

Bookmark and Share

Expected to ship within 18 - 22 working days

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.

General

Imprint: Springer-Verlag New York
Country of origin: United States
Series: Advances in Information Security, 31
Release date: December 2006
First published: 2007
Authors: Anoop Singhal
Dimensions: 235 x 156 x 11mm (L x W x T)
Format: Hardcover
Pages: 159
Edition: 2007 ed.
ISBN-13: 978-0-387-26409-7
Categories: Books > Computing & IT > Computer communications & networking > Network security
Promotions
LSN: 0-387-26409-4
Barcode: 9780387264097

Is the information for this product incomplete, wrong or inappropriate? Let us know about it.

Does this product have an incorrect or missing image? Send us a new image.

Is this product missing categories? Add more categories.

Review This Product

No reviews yet - be the first to create one!

Partners