Today the computer technology and computer network technology has developed so much and is still developing with pace.Thus, the amount of data in the information industry is getting higher day by day. This large amount of data can be helpful for analyzing and extracting useful knowledge from it. The hidden patterns of data are analyzed and then categorized into useful knowledge. This process is known as Data Mining. [4].Among the various data mining techniques, Decision Tree is also the popular one. Decision tree uses divide and conquer technique for the basic learning strategy. A decision tree is a flow chart-like structure in which each internal node represents a "test" on an attribute where each branch represents the outcome of the test and each leaf node represents a class label. This paper discusses various algorithms of the decision tree (ID3, C4.5, CART), their features, advantages, and disadvantages.
Encryption is a process of hiding significant data so as to prevent unauthorized access and ensure confidentiality of data. It is widely used to transmit data across networks ensuring secure communication. This paper aims at improving the security and efficiency of image encryption by using a highly efficient shuffle based encryption algorithm and an equivalent decryption algorithm based on random values obtained by using pseudorandom number generator. Due to the immense amount of possibilities of instances of the encrypted image which can be generated by shuffling the pixels as a block (or on a pixel by pixel basis), the algorithm proves to be highly impervious to brute force attacks. The proposed algorithm has been examined using multiple analysis methods to support its robustness for achieving good results.
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