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That s pretty much it. Once you use the ENCRYPT keyword, you have what I call mostly, pretty much, almost Transparent Data Encryption. Column level encryption, when used with respect of the limitations it imposes, is 100 percent transparent. But, if the column you are encrypting is to be In any index Part of any foreign key

As with WPF or Windows Forms applications, the best performance is received in web-based applications by minimizing the number of physical tiers. However, the trade-off in a web scenario is different: in this case, it is possible to improve performance and scalability at the same time but at the cost of security, as I will demonstrate. To get optimal performance in a web application, it is desirable to run most of the code in a single process on a single machine, as shown in Figure 1-5.

you will find this encryption method to perhaps not be 100 percent transparent. We ll discuss why in the section Limitations of Column Encryption. If a column is not indexed and is not part of any foreign key, then column level encryption is 100 percent transparent.

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We ll look at two issues surrounding column encryption and storage. The first one is the physical storage requirements of column level encryption. The second one is how the data is stored in the SGA. Column level encryption stores the data in the SGA in an encrypted fashion, which will mandate that we encrypt/decrypt it every time we access it. That encryption and decryption will have an impact on the performance of queries that frequently access the column and also necessarily impact indexes on the column. The indexes will be indexing encrypted data, not the original data. This fact will have a profound effect on the usefulness of indexes on encrypted columns, as we ll see in the Limitations of Column Encryption section.

Figure 1-5. The five logical layers as used for web applications The Interface layer must be physically separate because it s running in a browser, but the Interface Control, Business, and Data Access layers can all run on the same machine, in the same process. In some cases, you might even put the Data Storage and Management layer on the same physical machine, though this is suitable only for smaller applications. This minimizes network and communication overhead and optimizes performance. Figure 1-6 shows how it is possible to get good scalability, because the web server can be part of a web farm in which all the web servers are running the same code.

The round-trip delays between the NTP client on your network and the public servers impact the level of dispersion that is normally displayed in all NTP implementations when viewing NTP associations. As a network administrator, you have no control over the quality of service on the Internet. This means that poor service quality along the path from your NTP client to a public server could prevent you from using a public server. Again, the need for accuracy will be a deciding factor.

Without a doubt, column encryption will increase your storage needs This is due to two facts The first fact is that data is stored in fixed width fields that are always a multiple of 16 bytes This should sound familiar from the manual application encryption section Reasons to Avoid the Manual Approach where I describe how encrypted data is stored in 16 byte pieces When you encrypt the string Hello (5 characters), it will be converted into a binary string of 16 bytes a fixed width binary string So, instead of taking 6 bytes in the database (1 byte for the length attribute, 5 bytes for the characters), that string Hello in an encrypted column will take 17 bytes (1 byte for the length, 16 bytes for the data).

If you have 1,000,000 records in a table with a VARCHAR2(30) field whose average length is 5 characters, you will go from needing 6,000,000 bytes of storage to needing 17,000,000 bytes of storage The second reason stems from the SALT attribute we introduced above Prior to encrypting the data and placing it on the database block, Oracle by default will add a SALT to the data some random set of bytes in a predictable place (ie it might always put 10 random bytes of data on the front of the string) and then encrypt it In that fashion, if you insert the string Hello one million times into the table, it will encrypt to one million different raw values Each encrypted value would be unique.

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