Sushanta Biswas

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Image steganography is the art of hiding information into a cover image. This paper presents a novel technique for Image steganography based on Block-DCT, where DCT is used to transform original image (cover image) blocks from spatial domain to frequency domain. Firstly a gray level image of size M × N is divided into no joint 8 × 8 blocks and a two(More)
In general frequent itemsets are generated from large data sets by applying association rule mining algorithms like Apriori, Partition, Pincer-Search, Incremental, Border algorithm etc., which take too much computer time to compute all the frequent itemsets. By using Genetic Algorithm (GA) we can improve the scenario. The major advantage of using GA in the(More)
Steganography and Watermarking are main parts of the fast developing area of information hiding. Steganogra-phy involves hiding of information in a cover media to obtain the stego media, in such a way that the cover media is supposed not to have any embedded image for its unintended recipients. This paper is based on Steganogra-phy, Watermarking and(More)
Steganography is the branch of information hiding for secret communication. The simplest and widely used steganography is the LSB based approach due to its visual quality with high embedding capacity. However, LSB based steganography techniques are not secure against statistical steganalysis mainly χ2 attack and Regular Singular (RS) attack. These two(More)