Analisis keamanan dan efektivitas sistem Chaos Arneodo-Coullet-Tresser dalam kriptografi citra digital berbasis Python

Wibiksana, Aria Dewa (2023) Analisis keamanan dan efektivitas sistem Chaos Arneodo-Coullet-Tresser dalam kriptografi citra digital berbasis Python. Sarjana thesis, UIN Sunan Gunung Djati Bandung.

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Abstract

INDONESIA : Seiring perkembangan dunia digital, keamanan data semakin penting karena banyak informasi penting tersimpan dalam format digital. Sistem chaos Arneodo�Coullet-Tresser, yang kompleks dan peka terhadap kondisi awal, menjadi potensi solusi untuk keamanan data. Penelitian ini berfokus pada analisis sistem, termasuk diagram fase, time series, Lyapunov eksponen, diagram bifurkasi, dan peta Poinca�ré. Sistem ini berperan sebagai generator angka acak untuk kunci enkripsi dalam metode XOR yang menghasilkan data sandi. Efektivitas enkripsi citra dievaluasi dengan analisis histogram, korelasi, NPCR dan UACI, entropi, dan serangan noise. Hasil penelitian menunjukkan bahwa sistem ini efektif dalam menjaga kerahasiaan data, hal ini terkonfirmasi dengan histogram merata, korelasi rendah, entropi tinggi, dan ketahanan terhadap serangan noise. Oleh karena itu, sistem chaos Arneodo�Coullet-Tresser menunjukkan potensi sebagai metode efektif untuk melindungi ke�amanan data di era digital saat ini. ENGLISH : As the digital world continues to evolve, data security becomes increasingly im�portant due to the storage of a significant amount of crucial information in digital formats. The Arneodo-Coullet-Tresser chaotic system, known for its complexity and sensitivity to initial conditions, presents a potential solution for data security. This research focuses on analyzing the system, including phase diagrams, time series, Lyapunov exponents, bifurcation diagrams, and Poincaré maps. The system serves as a random number generator for encryption keys in the XOR method, producing cipher data. The effectiveness of image encryption is assessed through histogram analysis, correlation, NPCR and UACI, entropy, and noise attacks. Research fin�dings indicate that the system effectively maintains data confidentiality, as confir�med by uniform histograms, low correlations, high entropy, and resilience against noise of attacks. Therefore, the Arneodo-Coullet-Tresser chaotic system shows po�tential as an effective method for safeguarding data security in the current digital era

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