Compressed Sensing Based Encryption Approach for Tax Forms Data
Journal Title: International Journal of Advanced Research in Artificial Intelligence(IJARAI) - Year 2015, Vol 4, Issue 11
Abstract
In this work we investigate the possibility to use the measurement matrices from compressed sensing as secret key to encrypt / decrypt signals. Practical results and a comparison between BP (basis pursuit) and OMP (orthogonal matching pursuit) decryption algorithms are presented. To test our method, we used 10 text messages (10 different tax forms) and we generated 10 random matrices and for distortion validate we used the PRD (the percentage root-mean-square difference), its normalized version (PRDN) measures and NMSE (normalized mean square error). From the practical results we found that the time for BP algorithm is much higher than for OMP algorithm and the errors are smaller and should be noted that the OMP does not guarantee the convergence of the algorithm. We found that it is more advantageous, for tax forms (or other templates that show no interest for encryption) to encrypt only the recorded data. The time required for decoding is significantly lower than the decryption for the entire form
Authors and Affiliations
Adrian Brezulianu, Monica Fira, Marius Pestina
Keywords
Related Articles
- EP ID EP127942
- DOI 10.14569/IJARAI.2015.041106
- Views 105
- Downloads 0
A Comparative Study on different AI Techniques towards Performance Evaluation in RRM(Radar Resource Management)
The multifunction radar (MFR) has to make a decision as to which functions are to be performed first or which must be degraded or even not done at all when there are not enough resources to be allocated. The process of m...
Method for 3D Image Representation with Reducing the Number of Frames based on Characteristics of Human Eyes
Method for 3D image representation with reducing the number of frames based on characteristics of human eyes is proposed together with representation of 3D depth by changing the pixel transparency. Through experime...
Zernike Moment Feature Extraction for Handwritten Devanagari (Marathi) Compound Character Recognition
Compound character recognition of Devanagari script is one of the challenging tasks since the characters are complex in structure and can be modified by writing combination of two or more characters. These compound...
FREQUENT PHYSICAL HEALTH MONITORING AS VITAL SIGNS WITH PSYCHOLOGICAL STATUS MONITORING FOR SEARCH AND RESCUE OF HANDICAPPED, DISEASED AND ELDERY PERSONS
Method and system for frequent health monitoring as vital signs with psycholo9gical status monitoring for search and rescue of handicapped person is proposed. Heart beat pulse rate, body temperature, blood pressure...
Estimation of soil moisture in paddy field using Artificial Neural Networks
In paddy field, monitoring soil moisture is required for irrigation scheduling and water resource allocation, management and planning. The current study proposes an Artificial Neural Networks (ANN) model to estima...