Encryption of Audio File Using AES and Blowfish Algorithms
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Abstract
Cloud storage has a role to boldly store data so that it can be accessed by various users. The amount of data stored, causes this data to be vulnerable to attack. It takes a method that can guarantee the security of the data. AES has become a trusted encryption method because of its computational power. Blowfish as a newer method is also trusted because it is efficient and effective in storing data. A web-based application was successfully created based on this method. This app is used to test the combination of these 2 methods. The data used in this study is audio data. Audio data has a higher level of complexity than text data in general, so it requires additional processing when encrypted. Based on the test results, it was found that, the results of the data survived against security attacks with the plain text analysis method with a decryption rate of 0.049%. In addition, the method also succeeded in encrypting data at an average speed of 14 seconds, and decrypting data at an average speed of 13 seconds.
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