A Novel Data Hiding Method for Two-Color Images by Pan, Wu

By Pan, Wu

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Shuffling a small database takes I/Os for the SC, because the SC reads sequential records into its memory at a time. This results in sequential reads of blocks of size L to shuffle small databases. 1(b). 1 By UC we mean any general purpose computational resource without tamper resistance. For example, the server is an untrusted computer. 2 Decreasing the Complexity of Shuffling Algorithm 3: The main preprocessing algorithm. Algorithm 4: The algorithm for splitting the database. Fig. 1. An example of the preprocessing algorithm for 39 40 4 Improving Processing and Preprocessing Complexity Algorithm 5: The algorithm for shuffling the split databases.

Both utilize homomorphic encryption, which is used by the server to encrypt every record of the database. All of these encrypted records are sent to the client. This communication has to be done only once between the client and the server when the PIR protocol starts, independently from how many PIR queries will be processed online. If the user wants to query or to buy a record, he selects the appropriate (stored at the client) encrypted record and re-encrypts it. The user then sends it to the server and asks to remove the server’s encryption.

If there is more than one way of working out its value, the answers must be the same. Formally, if a choice is broken down into two successive choices, the original value of H should be the weighted sum of the values of H for individual choices. 4 provides an example. 4 is the weighting factor. Shannon’s Theorem proves that the only function satisfying the given properties is the following one (a multiplicative constant is usually omitted): 32 3 PIR with O(1) Query Response Time and O(1) Communication Fig.

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