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(classroom level) predictor. In addition to participation status in D.A.R.E., it was also hypothesized that size of the class and proportion of minority students in the class might predict differences in the D.A.R.E. core concepts. This full, multilevel model uses data collected at the classroom level to predict the intercepts of the D.A.R.E. core concepts (SelfEsteem, Institutional Bonds, Resistance to Risky Behavior, and Acceptance of Risky Behavior) and the curriculum questions from the student-level model. The EQS syntax for this model is presented in the appendix. The classroom data were also nonnormally distributed (Mardia s standardized coef cient = 7.07); therefore, the multiple group model was evaluated with the Satorra-Bentler scaled chisquare. There was evidence that the HLM model ts the data, S-B 2 ( Nchildren = 4578, Nclassrooms = 144, 3) = 4.49, p = .21, CFI = 98. However, none of the class-level variables participation in D.A.R.E. (yes/no), class size, and percentage of non-White students signi cantly predicted the core concepts/curriculum variables. Again, these nonsigni cant results are consistent with the prior D.A.R.E. literature.

In the previous sections, we considered the Fundamental DDBE Platform Requirements the Development, Deployment, and Execution Requirements that we feel should be considered for every project (even centralized, nondatabase applications). In this section, we will consider the subset of DDBE Platform Requirements necessary to implement any distributed environment (even when there is no database involved). We call these requirements the Distributed Process Requirements, and we will focus on two subcategories within this subset. The rst subcategory is called the Remoteability Requirements, while the second subcategory is called the Directory Services Requirements. Remoteability is de ned as the ability to connect different COS instances to each other (either directly or indirectly) when they are deployed on different machines within the same environment. While the

emails per week, but during one week they exchange 20 emails The next week there is a shortfall in the company books If this pattern continues, someone could start to tie the two parties together and infer that they are embezzling from the company Just as with encryption, two people using steganography must agree on the algorithm they are going to use and exchange this algorithm prior to communicating The steganography algorithm is a mathematical formula used to place bits of data in another file, and then used again to extract those bits back into their original order It is often not a particularly complex formula Imagine an algorithm as being like a piece of cardboard that has certain squares cut out When you place this template over a text message, the characters of the message that appear in the cut-out squares reveal the secret message.

In one sense, this cardboard template serves the function of a computer algorithm: It offers a guide to placing and extracting hidden data In steganography running such an algorithm would take a covert message and embed it in an overt file to hide the data For example, look at a simple algorithm This algorithm embeds data in a text document The algorithm takes the covert message (in binary form) one bit and a time, and starting at the beginning of the overt text document, it finds the end of the first sentence If the binary bit from the covert file is a 1, the algorithm places a period at the end of the sentence If the binary bit from the covert file is a 0, the end of the sentence would then have an exclamation mark.

The algorithm then moves on to the next sentence in the overt file to continue the process To extract the hidden message the algorithm goes to each sentence If there is a period it inserts a 1 into the file, and if there is an exclamation mark it inserts a 0, thereby recreating the covert file..