PERBANDINGAN ALGORITMA KRIPTOGRAFI RIJNDAEL DAN TWOFISH PADA PENGAMANAN CITRA

ARLIND, FRESSY and Mulya, Megah and Arsalan, Osvari (2019) PERBANDINGAN ALGORITMA KRIPTOGRAFI RIJNDAEL DAN TWOFISH PADA PENGAMANAN CITRA. Undergraduate thesis, Sriwijaya University.

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Abstract

The advancement of information technology will certainly have an impact on information security along with the ease of accessing media communication in this modern era. Cryptography provides the secure guarantee of information in order to avoid those impacts. The main characteristics of a good data encryption and decryption are security and speed. This study provides a comparative analysis of security and speed between two cryptography algorithms, Rijndael and Twofish, on image security with different mode of operations (ECB and CBC). Security analysis can be seen by the value of Avalanche Effect and speed analysis can be seen by the execution time of its algorithm. Based on the results of tests conducted, it is known that both the Rijndael and Twofish cryptographic algorithms both produce the avalanche effect in accordance with the Strict Avalanche Effect (SAC) which is close to 50%. In testing the Avalanche Effect changes in plainimage obtained the results of the Rijndael algorithm has the highest Avalanche Effect value of 52.8125% with CBC operating mode and small change pixel RGB value categories. Testing the Avalanche Effect changes to the key also outperformed by Rijndael with a value of 49,98619% with CBC operating mode. While for execution time, it can be concluded that the resolution and mode of operation has an influence on the execution time. Keywords : Avalanche Effect, Execution Time, Rijndael, Twofish, Data Encryption and Decryption, ECB, CBC

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	Avalanche Effect, Execution Time, Rijndael, Twofish, Data Encryption and Decryption, ECB, CBC
Subjects:	Q Science > QA Mathematics > QA150-272.5 Algebra > QA268 Cryptography -- Mathematics. Ciphers. Computer security. Electronic books
Divisions:	09-Faculty of Computer Science > 55201-Informatics (S1)
Depositing User:	Users 4258 not found.
Date Deposited:	13 Jan 2020 09:25
Last Modified:	13 Jan 2020 09:25
URI:	http://repository.unsri.ac.id/id/eprint/23961

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