Using PSO in a spatial domain based image hiding scheme with distortion tolerance

Bedi, Punam; Bansal, Roli; Sehgal, Priti

doi:10.1016/j.compeleceng.2012.12.021

Cited by 54 publications

(29 citation statements)

References 22 publications

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“…Optimasi pada steganografi citra digital dapat dilakukan dengan banyak cara, diantara dengan menentukan titik optimum piksel pada citra digital, menentukan banyaknya piksel optimal yang disisipkan pada setiap piksel, dan lain sebagainya [2]. Pada penelitian ini dilakukan optimasi dengan menentukan titik-titik optimum penyisipan pada piksel citra digital.…”

Section: Abstrakunclassified

Steganografi Menggunakan Blok Permutasi dan Algoritma Particle Swarm Optimization (PSO)

Aydadenta

2016

IndoJC

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Todays technology development has increasingly advanced. There are a lot of things that are made conveniently by technology, one of them is in communication. Communication using internet network was already the first choice because the facility and speed. But, the data security rarely noticed by user. So, it takes data safe security techniques to keep data secure while communicating. There are many techniques for protect data security, such as steganography. Steganography is a technique for embed secret information into many media files. In this project steganography using BPIS method or block permutation and PSO algorithm. Digital imagery that been used is bitmap format and used text in embedded information. the message that embedded in digital imagery will be converted to binary sequence, then the next process is pra-steganography process using block permutation method, so the message information will be randomized by the method. Furthermore, PSO algorithm do the optimization process or finding the best solution to embedded message in pixel so that performance of citra keep doing well. Embedded text or information is using Least Significant Bit (LSB) approach. The final results show the value of the best image quality performance is 60.4295 dB which is the digital image flowers with the number of particles is 50 and the maximum iterations is 50. The result of image quality performance using LSB technique is 58.716 dB. This result show image quality performance using PSO algorithm is better than using LSB technique.Keywords: Steganography, Block Permutation Image Steganography, Particle Swarm Optimization, spatial domain, Least Significant Bit, citra digital, BMP Abstrak Pada saat ini perkembangan teknologi sudah semakin maju, banyak hal yang dipermudahkan oleh teknologi, salah satu nya dalam komunikasi. Komunikasi melalui jaringan internet sudah menjadi pilihan utama karena kemudahan dan kecepatannya. Akan tetapi keamanan datanya jarang diperhatikan oleh para users, sehingga dibutuhkan teknik keamanan data yang aman untuk menjaga data ketika melakukan komunikasi. Ada banyak teknik untuk menjaga keamanan data diantara nya seperti steganografi. Steganografi merupakan teknik untuk menyembunyikan informasi rahasia ke dalam beberapa media file. Pada penelitian ini dilakukan proses steganografi menggunakan metode BPIS atau blok permutasi dan algoritma optimasi PSO. Citra digital yang digunakan berformat bitmap dan pesan informasi yang akan disisipkan adalah teks. Pesan yang disisipkan di dalam citra digital akan dikonversi kedalam biner, selanjutnya akan dilakukan proses pra-steganografi dengan metode blok permutasi, sehingga pesan informasi akan teracak oleh metode tersebut. Selanjutnya algoritma PSO akan melakukan proses optimasi atau pencarian solusi terbaik untuk penyisipan pesan tiap piksel, tujuannya agar performansi citra tetap baik. Penyisipan pesan atau informasi dilakukan dengan pendekatan Least Significant Bit (LSB). Hasil akhir yang didapat menunjukan nilai performansi kualitas citra terbaik 60.4...

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Section: Abstrakunclassified

Steganografi Menggunakan Blok Permutasi dan Algoritma Particle Swarm Optimization (PSO)

Aydadenta

2016

IndoJC

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“…Punam Bedi, et al (2013) developed data hiding scheme based on spatial domain where Particle Swarm Optimization was applied to ensure image quality and to the distortion tolerance. Tseng-Jung Lin, et al (2013) designed Data hiding using discrete cosine transform that preserved the visual quality at a greater level with the help of error propagation scheme.…”

Section: Review Of Literaturementioning

confidence: 99%

Video Steganography Technique for Robust Multimedia Communications Using Emsbi, Airft and Apvq Method

2017

IJAERD

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“…The Steganography approaches are commonly divided into spatial domain and frequency domain approaches [3]. In spatial domain, the information is hidden directly in the Least Significant Bit (LSB) plane of cover image [4][5][6]. But the drawback of this approach is fidelity of stego image is not maintained.…”

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confidence: 99%

“…In the LSB substitution method, LSB's plane is replaced directly without modifying the cover image. Bedi et al [5] has proposed the spatial domain combined with optimization technique in order to find the best pixel location with distortion tolerance. However, emphasis was given on distortion tolerance rather than embedding capacity and quality of stego image.…”

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confidence: 99%

Application of Genetic Algorithm and Particle Swarm Optimization techniques for improved image steganography systems

et al. 2016

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Image steganography is one of the ever growing computational approaches which has found its application in many fields. The frequency domain techniques are highly preferred for image steganography applications. However, there are significant drawbacks associated with these techniques. In transform based approaches, the secret data is embedded in random manner in the transform coefficients of the cover image. These transform coefficients may not be optimal in terms of the stego image quality and embedding capacity. In this work, the application of Genetic Algorithm (GA) and Particle Swarm Optimization (PSO) have been explored in the context of determining the optimal coefficients in these transforms. Frequency domain transforms such as Bandelet Transform (BT) and Finite Ridgelet Transform (FRIT) are used in combination with GA and PSO to improve the efficiency of the image steganography system.

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Using PSO in a spatial domain based image hiding scheme with distortion tolerance

Cited by 54 publications

References 22 publications

Steganografi Menggunakan Blok Permutasi dan Algoritma Particle Swarm Optimization (PSO)

Steganografi Menggunakan Blok Permutasi dan Algoritma Particle Swarm Optimization (PSO)

Video Steganography Technique for Robust Multimedia Communications Using Emsbi, Airft and Apvq Method

Application of Genetic Algorithm and Particle Swarm Optimization techniques for improved image steganography systems

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