000 -LEADER |
fixed length control field |
01398nam a2200169Ia 4500 |
005 - DATE AND TIME OF LATEST TRANSACTION |
control field |
20200308073530.0 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
fixed length control field |
190927s9999 xx 000 0 und d |
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER |
Classification number |
T V235 2012 c.1 |
100 ## - MAIN ENTRY--PERSONAL NAME |
Preferred name for the person |
Valenzuela, Jarlou T. |
245 #0 - TITLE STATEMENT |
Title |
Cryptography for jpeg images using backpropagation neural network |
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
Place of Publication |
Cebu City |
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
Name of Publisher |
CIT-U |
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
Date of Publication |
2012 |
520 ## - SUMMARY, ETC. |
Summary, etc |
Millions of data are stolen from the internet, thus result to problems such as stolen identity, scandals and wide spread of piracy. There are already many ways existing to protect this data and one of which is cryptography. Cryptography is widely used to ensure security in open networks and maintain data secrecy. This study presents a new technique of Cryptography and a new application of artificial Neural Network.<br/>The system is designed to model the way in which the brain performs a task or function of interest. The system thus only accepts image data. The cryptography is designed to generate keys using ANNs, weighs generated are use to encrypt and decrypt the data. Backpropagation Neural Network and image processing are two main techniques applied. This study ensures that the desired result is achieved. For encryption, the encrypted data did not show similarities with the input data. For decryption, the encrypted data returns from its original form using the right key. |
526 ## - STUDY PROGRAM INFORMATION NOTE |
-- |
000-099 |
942 ## - ADDED ENTRY ELEMENTS |
Item type |
RESERVED BOOKS |
Source of classification or shelving scheme |
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