Hybrid-AES-Blowfish algorithm: key exchange using neural network

Crypto-system hybrid is method using symmetrical for secure file and using symmetrical algorithm to secure key symmetrical algorithm, dependency key public for security file is one of things important for avoid occurrence attack, at this research we proposed Neural Network for composing key public t...

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Bibliographic Details
Published in2019 International Conference of Computer Science and Information Technology (ICoSNIKOM) pp. 1 - 4
Main Authors Christnatalis, Husein, A M, Harahap, M, Dharma, A, Simarmata, A M
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.11.2019
Subjects
Accuracy
Artificial neural networks
Computational modeling
Computer science
Hybrid AES-Blowfish Algorithm
Information technology
Key Exchange
Neural Network
Public key
Security
Testing
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DOI10.1109/ICoSNIKOM48755.2019.9111500

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Summary:Crypto-system hybrid is method using symmetrical for secure file and using symmetrical algorithm to secure key symmetrical algorithm, dependency key public for security file is one of things important for avoid occurrence attack, at this research we proposed Neural Network for composing key public that evaluated with 1000 example plaintext, based on result testing level accuracy realize 99.98%, formation of the key made as input data at AES, Blowfish, and Hybrid algorithm for secure signature file.
DOI:10.1109/ICoSNIKOM48755.2019.9111500