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Sharma, Monisha
- Generation of Quasigroup for Cryptographic Application
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PDF Views:91
Authors
Affiliations
1 Shri Shankaracharya College of Engineering & Technology, Bhilai, (CG), IN
2 Bhilai Institute of Technology, Durg (CG), IN
1 Shri Shankaracharya College of Engineering & Technology, Bhilai, (CG), IN
2 Bhilai Institute of Technology, Durg (CG), IN
Source
Indian Journal of Science and Technology, Vol 2, No 11 (2009), Pagination: 35-36Abstract
A method of generating a practically unlimited number of quasigroups of a (theoretically) arbitrary order using the computer algebra system Maple 7 is presented. This problem is crucial to cryptography and its solution permits to implement practical quasigroup-based endomorphic cryptosystems. The order of a quasigroup usually equals the number of characters of the alphabet used for recording both the plaintext and the cipher text. Moreover, it can be used for varied information viz. text, image, etc. Many of the on going algorithms uses NLFSR to generate pseudo random sequence and thus the suggested method can be integrated in any of the existing pseudo random sequence to further enhance their complexity. The implementation of PRSG using quasi group processing is highly scalable and fairly unpredictable. It has passed all publicly available random sequence generator tests. That is exactly what this paper provides: fast and easy ways of generating quasigroups of order up to 256 and a little more.Keywords
Quasigroup, Cryptography, Pseudo Random Sequence Generator (PRSG's), QPRSG, Non Linear Feedback Shift Register (NLFSR)Full Text
References
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- Implementation and Analysis of Various Symmetric Cryptosystems
Abstract Views :504 |
PDF Views:147
Authors
Affiliations
1 E & Tc. Department, SSCET, Bhilai-490020, Chhattisgarh, IN
1 E & Tc. Department, SSCET, Bhilai-490020, Chhattisgarh, IN
Source
Indian Journal of Science and Technology, Vol 3, No 12 (2010), Pagination: 1173-1176Abstract
This paper implements some of the widely used symmetric encryption techniques i.e. data encryption standard (DES), triple data encryption standard (3DES), advanced encryption standard (AES), BLOWFISH and RC4 in MATLAB software. After the implementation, these techniques are compared on some points. These points are avalanche effect due to one bit variation in plaintext keeping the key constant, avalanche effect due to one bit variation in key keeping the plaintext constant, memory required for implementation and simulation time required for different message lengths.Keywords
DES, 3DES, AES, Blowfish, RC4, Encryption, Decryption, Ciphertext, Deciphertext, PlaintextFull Text
References
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- Schweighofer E (1997) Downloading information filtering and copyright. Info. & Commun. Technol. Law, 6 (2) 121-135.
- System Design Approach for Heartbeat Detection and Classification of Individuals Irrespective of their Physical Condition
Abstract Views :262 |
PDF Views:95
Authors
Affiliations
1 Department of Electronics and Telecommunication, Shri Shankaracharaya College of Engineering and Technology, Chhattisgarh Swami Vivekananda Technical University, Bhilai 490 020, IN
1 Department of Electronics and Telecommunication, Shri Shankaracharaya College of Engineering and Technology, Chhattisgarh Swami Vivekananda Technical University, Bhilai 490 020, IN
Source
Current Science, Vol 112, No 09 (2017), Pagination: 1915-1920Abstract
In an electrocardiogram (ECG), the heartbeat feature QRS is an important parameter for analysis in any heartbeat classification automated diagnosis system. In this communication the method which we have proposed is by using the counter which is used in parallel. The first level is detection of heartbeats, which uses hashing of ECG features. In the second level, the profiler profiles a person's regular and irregular ECG characteristic behaviour. The proposed method works on data related with ECG, instead of particular features of ECG. Because of parallel processing, data storage unit requirements and the processing time are less. The dependent values in the proposed method vary according to the changes in the ECG waveform. Such type of analysis is suitable for detection of heart disease. The most significant application of such characteristic plotting is to generate an alert signal for irregular ECG behaviour in a person. Such automated system will be useful in remote areas where a cardiologist may not be easily available.Keywords
Data Storage Units, Electrocardiogram Signal, Parallel Processing, QRS Detection.Full Text
References
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- Comparative Analysis of PCA, SPIHT and Haar Methods in Medical Image Compression
Abstract Views :162 |
PDF Views:4
Authors
Affiliations
1 F.E.T, SSTC, SSGI, Junwani, Bhilai, IN
1 F.E.T, SSTC, SSGI, Junwani, Bhilai, IN
Source
Digital Image Processing, Vol 10, No 4 (2018), Pagination: 53-60Abstract
Compression of medical image has acquired great attention attributable to its raising need to decrease the picture size while not compromising the diagnostically crucial medical data exhibited on the picture. PCA algorithmmay be used to help in image compression. Here PCA algorithm is characterized in two forms i.e. Standard PCA and Block-Based PCA. The block based PCA has 2 extended-PCA algorithms that manipulate the block data of the image are evaluated. The 1st algorithm is referred to as block-by-block PCA wherestandard PCA algorithm is utilized on every block of the picture. In the next algorithm- the block-to-row PCA, all of block data are initially concatenated into a row before the standard PCA algorithm is thereforeutilizedin the remodelled matrix. In this paper, the block based PCA and SPIHT primarily applied on the ROI region whereas General PCA and HAAR wavelet were applied to non-ROI region. An arbitrary shaped segmentation (Manual segmentation) is employed to trace the specified ROI on the image.The SPIHT is being compared with the block based PCA methods in terms of image quality and compression ratio while selecting either general PCA or HAAR wavelet on Non ROI. With this work, it’s observed that block-based PCA performs superior to the SPIHTwith regards toimage quality, producingsimilar compression ratio.
Keywords
Medical Image Compression, Principal Component Analysis (PCA), Block-Based PCA, Compression Ratio, Image Quality, HAAR, SPIHT.
References
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- Performance Analysis of Universal Steganalysis Based on Higher Order Statistics for Neighbourhood Pixels
Abstract Views :195 |
PDF Views:7
Authors
Affiliations
1 Department of E&Tc, SSCET, Bhilai, IN
2 Department of Bio-Medical Engineering, NIT, Raipur, IN
1 Department of E&Tc, SSCET, Bhilai, IN
2 Department of Bio-Medical Engineering, NIT, Raipur, IN
Source
Fuzzy Systems, Vol 10, No 4 (2018), Pagination: 85-91Abstract
Universal steganalysis of grey level JPEG images is addressed by modelling the neighbourhood relationship of the image coefficients using the higher order statistical method developed by two-step Markov Transition Probability Matrix (TPM). The implementation of TPM together with the neighbouring pixel relationship provides a better detection results as justified with the help of experimental results. The detection accuracy and execution time has been evaluated on the image sets taken from Green spun library and Google website. Performance analysis has been done using SVM, J48 and Random Forest. It is practically applicable steganalysis scheme with suitable feature dimension and with appreciable detection results with low execution time.
Keywords
Steganography, Universal Steganalysis, DCT, DWT, TPM, RF, J48, Neighbour Pixel, WEKA, SVM.References
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