Securing Vehicle Numbers using Artificial Neural Networks
DOI:
https://doi.org/10.26438/ijcse/v5i10.195199Keywords:
Artificial Neural Network, Back Propagation, Cryptography, Automatic Gate Entry SystemAbstract
In automatic gate entry system security of vehicle numbers stored in the computer system is a crucial issue because in some parking areas only few important vehicles are permitted. The numbers of permitted vehicles are stored in computer systems. Cryptography based security systems are used to secure these numbers, but in modern environment this type of secure data can also be hacked and altered by the unauthorized users. In order to solve these vulnerable problems, in this paper, we try to create a security mechanism by using Artificial Neural Network (ANN) to protect the data stored on a computer device against unauthorized access. In place of saving vehicle numbers in actual form or in form of alphanumeric data into a text file, we store them in the form of network parameters and these parameters are generated by the back propagation algorithm of ANN using neural network toolbox of MATLAB. This type of security approach is the newest form of cryptography and also cracking of these types of parameters is not possible till today.
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