B. Karthikeyan ¹, M. Rajasekhar Reddy ¹, V. Vaithiyanathan ¹, D. Kannan ¹, A. C. Kosaraju ¹

Affiliations
1 School of Computing, SASTRA University, Thanjavur- 613401, IN

Abstract

Objectives: This paper proposes a new method to enhance security for data hiding in radiographic images through distortion of original data. Method: The process involves applying a Burrows-Wheeler Transform (BWT) to the original data, which groups and stores similar patterns in data, causing distortion. This distorted data is then further encoded in a safe format before hiding it in the cover image. The decoding process decoding from the safe format and applying Inverse Burrows-Wheeler Transform (IBWT) to retrieve the original data from the stego image. Findings: Thus, a 2-level security scheme is implemented. Cryptanalysis of the hidden data becomes difficult since the original data is distorted, thus enhancing the security of the hidden data. Nevertheless, the stego image obtained from this method is less deviated from the original cover image. This is shown from the satisfactory PSNR (Peak Signal to Noise Ratio) and MSE (Mean Square Error) obtained. Application/Improvements: This proposed method can be used wherever steganography or data hiding has its applications. This method can be used in commercial communication, military communication etc.

Keywords

Burrows-Wheeler Transform (BWT), Data Hiding, Inverse Burrows-Wheeler Transform (IBWT), Least Significant Bit (LSB), Radiographic Images, Steganography.

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K. Uma ¹, D. Kannan ¹, S. Vikas ¹, S. Sree Dharinya ¹

Affiliations
1 Department of IT, VIT University, Vellore – 632014, Tamil Nadu, IN

Abstract

To construct a student healthcare website which is termed as education world and reducing the answer time while bountiful any query towards the database wherever the data are stored. By using this website the consumer can acquire educational related material by queries. In this mission, the website is working to find the available frequent stuff using the procedure called APRIORI. This mission will be valuable in applications wherever the users consuming a set of stuff repeatedly. In order to separate these things from the databank, this process uses APRIORI algorithm. These are the areas where spending the time period to decrease the time using search. The disadvantage of existing scheme is it aimed at each and every demand given through the consumer. It will examine for all records which are not at altogether used and wanted by the consumer. So the total amount of the stuff escalates, the determined time period also escalates which will dynamically escalate the response time which will shrink the concert of the scheme. So the knowledge in which the system is working to the instrument will reduce the reply time in such a condition where the common data are used through the consumers. The system is also refining performance through parallelizing the actions in finding common data items. To shrink the response time period the system is spending the time period to catch the records in the databank. If the penetrating time reduces, mechanically the response period of the consumer query will also reduces. It clues to perform development of the scheme.

Keywords

Apriori, Biological Data, Candidate Item Set, Eclat, FP-Growth.

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