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ACKNOWLEDGEMENTSBooks are not written without the help and support of others. I have been veryblessed to have a superb network of family, friends and associates whosupplied me with the support, encouragement and references, the absence ofwhich would have rendered this project nearly impossible.Special thanks to: Tony Davis, my editor who made the writing process a joy.To my friends and family who supported and encouraged my determination towrite this book, specifically: Brad McGehee, Brian Kelley, Andy Warren,Steve Jones, Suzanne Meehle, David Leininger, Eric Burch, Ray Lucas,Claire Reagan, Casey Reagan, Simson Garfinkle, "The" Jimmy May, TomPizzato and, of course, my loving wife Donna.On a lighter note, I would like to offer a special thank you to the GratefulDead, Jefferson Airplane, Bob Dylan and Neil Young for their aid in fuelingthe creative furnace and defining the soundtrack of this book.xiii
INTRODUCTIONFor as long as there has been something to communicate between two personsthere has been data. The image of a buffalo hunt inscribed upon the walls of acave, or a sequence of notches pressed into clay, were early attempts to storethis data for later reference. Many generations later, we utilize the data that ourancient ancestors generated to better understand their world and ours.Today, vast volumes of data are gathered about almost every individual andbusiness. It is the information that we provide when we sign up for an accountat our favorite website, send an e-mail, fill out a job application, or apply for amortgage. It is the information that is stored in a spreadsheet on youremployer's server. It is the purchasing habits of customers on Amazon.com orat the neighborhood grocer, stored within their data warehouse.Some of this data is innocuous, such as the artist's name of an album that ispurchased, while some of it is highly sensitive, such as the credit card numberthat is used in the purchase. This data is stored at various locations, with arange of different levels of security applied to it. When the level of sensitivityis determined to be high, additional steps to secure the data are required toensure that its disclosure is appropriately handled.Rules, Regulations and ResponsibilityWe all, sometimes unwittingly, supply sensitive data about ourselves or thecompany we work for. When we participate in commerce, file documents withgovernment agencies or share casually in a conversation with a friend, wedisclose information about ourselves. It is our responsibility to recognize whatis appropriate for the exchange and what is not. While we like to think of ourhome as our sanctuary, sensitive data is often the target of home robberies. Thestorage of credit cards, tax returns and other sensitive documents in a securedlocation is advised.The consequences of mishandling sensitive data can be severe. Some industriesare regulated by privacy acts, defined by a governmental body. The finesplaced on businesses that do not comply with these regulations can be veryheavy. Even more damaging is the loss of customer confidence that resultswhen these breaches of security occur. Expensive legal suits are not uncommonfor businesses that have suffered a loss of sensitive data.xiv
Page 1: High Performance SQL ServerProtecti
Page 4 and 5: Table of ContentsAbout the Author .
Page 6 and 7: Protection via Normalization ......
Page 8 and 9: Views and Stored Procedures .......
Page 10 and 11: Numeric Variance ..................
Page 12 and 13: Key_ID ............................
Page 16 and 17: IntroductionIn all cases, the conse
Page 18 and 19: Introduction"lost key" displaced by
Page 20 and 21: CHAPTER 1: UNDERSTANDINGSENSITIVE D
Page 22 and 23: 1 - Understanding Sensitive DataSen
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4 - Encryption Basics for SQL Serve
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5 - Cell-Level Encryptionthe encryp
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5 - Cell-Level EncryptionSearching
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5 - Cell-Level EncryptionPreparing
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5 - Cell-Level EncryptionUSE HomeLe
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5 - Cell-Level Encryptionself-signe
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5 - Cell-Level Encryptionwithin SQL
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5 - Cell-Level EncryptionTesting th
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5 - Cell-Level EncryptionFROMdbo.Bo
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5 - Cell-Level Encryptioncolumn con
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5 - Cell-Level Encryptionthat is a
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5 - Cell-Level EncryptionBEGIN TRY-
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5 - Cell-Level Encryption);)@Identi
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5 - Cell-Level Encryption• The sc
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6 - Transparent Data EncryptionHow
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6 - Transparent Data EncryptionCons
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6 - Transparent Data Encryptionand
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6 - Transparent Data EncryptionNoti
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6 - Transparent Data EncryptionUSE
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6 - Transparent Data EncryptionThe
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6 - Transparent Data EncryptionGONO
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6 - Transparent Data Encryptionand
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6 - Transparent Data EncryptionUSE
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CHAPTER 7: ONE-WAYENCRYPTIONAs a ch
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7 - One-Way EncryptionBenefits and
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7 - One-Way Encryption• A match i
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7 - One-Way EncryptionPlain TextEnd
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7 - One-Way EncryptionReducing Vuln
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7 - One-Way EncryptionUse HomeLendi
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7 - One-Way EncryptionEXEC sp_addex
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7 - One-Way EncryptionLater in this
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7 - One-Way EncryptionUSE HomeLendi
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7 - One-Way EncryptionWHEREBorrower
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7 - One-Way Encryption-- Return Sea
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7 - One-Way EncryptionEXECUTE AS US
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CHAPTER 8: OBFUSCATIONHalloween is
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8 - Obfuscation• Artificial Data
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8 - ObfuscationHowever, not all val
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8 - ObfuscationRepeating Character
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8 - ObfuscationASSELECTdbo.Characte
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8 - ObfuscationGO181
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8 - ObfuscationSET Identification_V
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8 - ObfuscationThe Purpose_Type_ID
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8 - ObfuscationArtificial Data Gene
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9 - Honeycombing a DatabaseUse Home
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9 - Honeycombing a DatabaseUSE Mast
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9 - Honeycombing a DatabaseLog Item
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9 - Honeycombing a Databaseto 127.
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9 - Honeycombing a Databaseavailabl
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9 - Honeycombing a DatabaseAvoid SQ
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10 - Layering SolutionsDesign for P
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10 - Layering SolutionsObfuscationU
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10 - Layering SolutionsThe completi
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APPENDIX A: VIEWS ANDFUNCTIONS REFE
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Appendix A - Views and Functions Re
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APPENDIX B: THE HOMELENDINGDATABASE
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Appendix B - The HomeLending databa
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About Red GateYou know those annoyi
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