Mendeley
TY  _  JOUR
ID  -  1400100533168
TI  -  Designing a model based on blockchain technology to strengthen cyber security in the banking industry
JO  -   Roshd -e- Fanavari
JA  -  ES
LA  -  fa
SN  -  1735-5486
AU  -  amoozadkhalili hossein
AU  -  haghi neda
AU  -  Tavakkoli-Moghaddam Reza
AD  -  استادیار، گروه مهندسی صنایع، واحد ساری، دانشگاه آزاد اسلامی، ساری، ایران 
AD  -  کارشناس ارشد، مدیریت فناوری اطلاعات،
AD  -  University of Tehran
Y1  -  2023
PY  -  2023
VL  -  76
IS  -  
SP  -  60
EP  -  70
KW  -  blockchain
KW  -   cyber security
KW  -   e-banking
KW  -   business credit
KW  -   Artificial neural network
KW  -   banking industry 
DO  -  
N2  -  Designing a model based on blockchain technology to strengthen cyber security in the banking industry is one of the new methods studied in the banking industry to strengthen cyber security. Accordingly, this study seeks to achieve the goal of evaluating a model based on blockchain technology to strengthen cyber security in the banking industry based on artificial neural networks. This model is based on a conceptual model used in an MLP neural network simulation that simulates a blockchain-like process. Also, the neural networks created in the block chain have a strong connection and the possibility of breaking them is low. The data became closer to normal distribution after learning, indicating that blockchain technology will be able to provide cyber security. The level of correlation and efficiency presented was also reported and the findings of the study showed that the efficiency related to blockchain technologies after learning reached the level of 770.57 units, which shows that using the MLP method to learn the process of blockchain technology can be Lead to greater efficiency for cyber security. Also, the value of variance is equal to 27.77 and the mean value of computational values is equal to 0.35 and the value of correlation is equal to 0.99.
UR  - rimag.ir/en/Article/33168
L1  - rimag.ir/en/Article/Download/33168
ER  -  
