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At about the same time that NSA and NIST were developing SHA as a general-purpose hashing algorithm, they were collaborating also on developing a Digital Signature Algorithm (DSA) designed explicitly for, and to be used only for, providing digital signatures (that is, hashed versions of plaintext signatures, used to verify the sender of a message). DSA was announced on 19 May 1994 in FIPS 186 (available at http://www.itl.nist.gov/fipspubs/fip186.htm). Like SHA-1, DSA has been widely disseminated and is widely available. It is built into the open source OpenSSL and OpenSSH security suites (which we will discuss in 16), and it is an excellent choice for the one specific purpose for which it was designed. How to use the DSA algorithm within the OpenSSL environment is described at http://www.openssl.org/docs/apps/dsa.html.

When you want to retrieve, update, or delete rows, you obviously have to identify them within the corresponding SQL statement. You do this with the WHERE keyword followed by a <where_condition>. Listing E-2 shows you the format of this condition. We explain WHERE before discussing individual statements, because you ll need it for several of them.

<faces-config ...> <application> <view-handler>com.sun.facelets.FaceletViewHandler </view-handler> </application> </faces-config>

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Listing E-2 The WHERE Condition <where_condition> = { col_name {= | < | > | <= | >= | !< | !> | <> | !=} <val> | col_name [NOT] BETWEEN <val> AND <val> | col_name [NOT] LIKE <val> [ESCAPE <val>] | col_name [NOT] IN (<val> [, <val> ..]) | col_name IS [NOT] NULL | col_name [NOT] CONTAINING <val> | col_name [NOT] STARTING [WITH] <val> | NOT <search_condition> | <where_condition> OR <where_condition> | <where_condition> AND <where_condition> | (<where_condition>) } <val> = A valid SQL expression that results in a single value Note that the WHERE condition is more powerful (and complex) than what we explain here You could actually include complete query statements within a condition and use the result of a first search to delimit the scope of the successive one However, to explain such techniques involving subqueries would go beyond the scope of this manual.

The following two algorithms, base64 and the process of XORing a value against a key, are sometimes used to encode data in a way that looks like encryption. Make no mistake, though: any algorithm that does not use a mathematically rigorous cryptographic algorithm should never be used for encryption. We feel that it is important to mention these methods, however, because they have practical application within and around the encryption and hashing algorithms discussed earlier.

We ll describe the listed possibilities by simply showing and explaining valid examples of WHERE selections on a hypothetical employee table: lastname = 'Smith' selects all employees with the family name Smith startdate < '2000-01-01' selects all employees who joined the company before the beginning of the century startdate BETWEEN '2006-01-01' AND '2006-12-31' selects all employees who joined the company in 2006, while startdate NOT BETWEEN '2006-01-01' AND '2006-12-31' selects those who didn t lastname LIKE 'S%' selects all employees whose family name starts with S You can use more than one percent sign in a condition For example, lastname LIKE 'S%z%a' selects all names that start with S, end with a, and have a z somewhere in between While the percent sign stands for any number of characters (including none), the underscore stands for exactly one character.

Next, modify WEB-INF/web.xml as shown in Listing 7 4. Listing 7 4. Changes to web.xml in Order to Use RichFaces

base64 is an encoding algorithm rather than an encryption algorithm. Originally developed to allow transfer of binary email attachments by transforming them into printable characters, it has found considerable use for what some might prefer to call obfuscation rather than encryption (in HTTP Basic Authentication, for example). Because an encoded string contains a limited set of characters and ends

For example, lastname NOT LIKE '_' selects all names that contain at least two characters The ESCAPE keyword lets you search for strings containing one of the escape characters For example, lastname LIKE '%!%%' ESCAPE '!' selects all names that contain a percent sign in any position firstname IN ('John', 'Jack') selects all employees who have either John or Jack as their first name middlename IS NULL selects all employees who have no middle name lastname CONTAINING 'qu' selects all employees who have the string qu in their family name This is identical to lastname LIKE '%qu%'..

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