Implementation and Evaluation of FuzzyStego Steganography Scheme in Net Centric Computing Lab

Ananti, Mardhatillah (2024) Implementation and Evaluation of FuzzyStego Steganography Scheme in Net Centric Computing Lab. Project Report. [s.n], [s.l.].

Text 5025211070-Project_Report.pdf - Accepted Version Download (2MB)

Abstract

Steganografi merupakan teknik dalam Keamanan Informasi yang bekerja dengan menyembunyikan data rahasia ke dalam media digital tanpa menimbulkan perubahan yang terlihat, seperti pada gambar, audio, atau teks. Salah satu tantangan utama dalam steganografi adalah menjaga keseimbangan antara kapasitas penyisipan data dan kualitas citra hasil penyisipan (citra stego). Dalam penelitian ini, fokus diarahkan pada pengembangan dan evaluasi metode steganografi gambar yang disebut FuzzyStego. FuzzyStego adalah skema steganografi adaptif berbasis logika fuzzy yang bertujuan mengoptimalkan area penyisipan data pada domain spasial gambar. Untuk mendukung implementasi algoritma FuzzyStego, seluruh proses dilakukan di Net Centric Computing Lab dengan menerapkan pendekatan logika fuzzy yang mengklasifikasikan piksel dalam gambar ke dalam lima tingkat intensitas: Rendah (L), Menengah-Rendah (ML), Menengah (M), Menengah-Tinggi (MH), dan Tinggi (H). Berdasarkan tingkat intensitas ini, jumlah bit yang dapat disisipkan pada setiap piksel ditentukan secara adaptif untuk meminimalkan distorsi visual.
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Steganography is a technique in Information Security that works by hiding confidential data in digital media without causing any noticeable changes, this include images, audios or text. One of the main challenges in steganography is to keep a balance between data embedding capacity and quality of the embedded image (stego image). In this study, the focus will be on the development and evaluation of an image steganography method called FuzzyStego. An adaptive steganography scheme based on fuzzy logic, this method aims to optimize the data embedding area in the spatial domain of images. To help the implementation of the FuzzyStego algorithm, the whole process was carried out in the Net Centric Computing Lab, applying a fuzzy logic approach that classifies pixels in the image into five intensity levels: Low (L), Medium-Low (ML), Medium (M), Medium-High (MH), and High (H). Based on these intensity levels, the number of bits that can be inserted in each pixel is determined adaptively to minimize visual distortion.

Item Type:	Monograph (Project Report)
Uncontrolled Keywords:	Steganografi, logika fuzzy, keamanan informasi, penyembunyian data, kualitas gambar, Steganography, fuzzy logic, information security, data hiding, image quality
Subjects:	T Technology > T Technology (General) > T11 Technical writing. Scientific Writing T Technology > T Technology (General) > T57.5 Data Processing
Divisions:	Faculty of Industrial Technology > Informatics Engineering > 55201-(S1) Undergraduate Thesis
Depositing User:	Mardhatillah Shevy Ananti
Date Deposited:	15 Jul 2025 01:07
Last Modified:	15 Jul 2025 01:07
URI:	http://repository.its.ac.id/id/eprint/119734

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