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Security/Hacking PDF Hacks: 100 Industrial-Strength Tips & Tools (Repost)
Security/Hacking International Relations and Security in the Digital Age: International Relations and Security in the Digital Age
Security/Hacking Information Security Cost Management
Security/Hacking Seven Deadliest Unified Communications Attacks (Repost)
Security/Hacking CompTIA Security Certification Study Guide, Third Edition
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Security/Hacking Managing an Information Security and Privacy Awareness and Training Program
Security/Hacking Mechatronics for Safety, Security and Dependability in a New Era {Repost}
Security/Hacking How to Survive the End of the World as We Know It: Tactics, Techniques, and Technologies for Uncertain Times
Security/Hacking Spyware and Adware (Advances in Information Security)
Security/Hacking Network and System Security
Security/Hacking Amazon Hacks: 100 Industrial-Strength Tips & Tools (Repost)
Security/Hacking Introduction to Network Security (Repost)
Security/Hacking Security Study Guide {Repost}
Security/Hacking Aggressive Network Self Defense (2005) & Agile Web Development With Rails 1st Edition (2005) (Repost)
Security/Hacking The Hacker's Underground Handbook Learn What it Takes to Crack Even the Most Secure Systems
Security/Hacking Developer's Guide to Web Application Security By Michael Cross
Security/Hacking Hack Proofing ColdFusion By Steve Casco, Rob Rusher
Security/Hacking Wireshark & Ethereal Network Protocol Analyzer Toolkit (Repost)
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Security/Hacking Privacy Preserving Data Mining (Advances in Information Security) (Repost)
Posted on 2010-03-16
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More Privacy Preserving Data Mining (Advances in Information Security) This book presents a sampling of work in the field. The primary target is the researcher or student who wishes to work in privacy-preserving data mining; the goal is to give a background on approaches along with details showing how to develop specific solutions within each approach. The book is organized much like a typical data mining text, with discussion of privacy-preserving solutions to particular data mining tasks. Readers with more general interests on the interaction between data mining and privacy will want to concentrate on Chapters 1-3 and 8, which describe privacy impacts of data mining and general approaches to privacy-preserving data mining. Those who have particular data mining problems to solve, but run into roadblocks because of privacy issues, may want to concentrate on the specific type of data mining task in Chapters 4-7. The authors sincerely hope this book will be valuable in bringing order to this new and exciting research area; leading to advances that accomplish the apparently competing goals of extracting knowledge from data and protecting the privacy of the individuals the data is about.
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