Analysis of image steganography techniques in secure online voting

Rura, Lauretha; Issac, Biju; Haldar, Manas K.

doi:10.1109/iccsnt.2011.6181922

Cited by 5 publications

(2 citation statements)

References 13 publications

(14 reference statements)

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“…Penilaian sebuah algoritma steganografi yang baik dapat dinilai dari beberapa faktor yaitu: 1. Imperectibility [1], [10], [11] Keberadaan pesan rahasia dalam media penampung tidak dapat dideteksi oleh inderawi. Misalnya jika covertext berupa citra, maka penyisipan pesan membuat citra stegotext sukar dibedakan oleh mata dengan covertext-nya.…”

Section: B Aspek-aspek Steganografiunclassified

Multiple Level Data Hiding Medical Image Base on Discrete Cosine Transform (Dct) Method Using Multiscale Image Sharing (Msis)

Fiqar¹,

Pradana²

2016

JUTI

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2) ABSTRAK Pengiriman data melalui media elektronik semakin pesat. Banyak data yang gunakan transkasi internet adalah data rahasia. Salah satu data rahasia ialah data medis seorang pasien. Pada umumnya data medis pasien tidak hanya terdiri dari satu buah citra saja, melainkan data citra yang jumlahnya lebih dari satu. Sehingga diperlukan suatu mekanisme penyemebunyian (steganografi) data medis pasien yang jumlahnya lebih dari satu kedalam sebuah media pembawa, agar data ini dapat terlindungi dari pihak-pihak yang tidak berkepingan. Pada penelitian ini menerapkan discrete cosine transform dalam steganografi citra. Cover dan pesan rahasia steganografi yang digunakan berupa citra dengan ukuran 512px X 512px. Pada proses penyisipan data rahasia yang jumlahnya banyak diterapkan denagn multi-level menggunakan sekma multi-scale image sharing (MSIS). Dalam proses pengujian digunakan citra cover 24 bit. Pada citra cover 24 bit yang digunakan memiliki format .png. Proses parameter analisis pengujian menggunakan Peak Signal to Noise Ratio, Mean Squared Error, Normalized Cross Correlation, Average Difference, Structural Content, Maximum Difference, Normalized Absolute Error serta dari sisi size. Hasil Peak Signal to Noise Ratio pada penyisipan level 1 dan level 9 bernilai kurang lebih 40 db dan 24 db.

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Section: B Aspek-aspek Steganografiunclassified

Multiple Level Data Hiding Medical Image Base on Discrete Cosine Transform (Dct) Method Using Multiscale Image Sharing (Msis)

Fiqar¹,

Pradana²

2016

JUTI

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“…The system must create a compatible source image containing the ballot for visual cryptography encryption by passing a secret message derived from the decrypted stego-image. Because of the visual cryptography encryption, half of the shares need to be obtained by the voters [27] - [28].…”

Section: Implementation Of the Voting Systemmentioning

confidence: 99%

Online Voting System based on Image Steganography and Visual Cryptography

Rura

Issac

Haldar

2017

CIT

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This paper discusses the implementation of an online voting system based on image steganography and visual cryptography. The system was implemented in Java EE on a web-based interface, with MySQL database server and Glassfish application server as the backend. After considering the requirements of an online voting system, current technologies on electronic voting schemes in published literature were examined. Next, the cryptographic and steganography techniques best suited for the requirements of the voting system were chosen, and the software was implemented. We have incorporated in our system techniques like the password hashed based scheme, visual cryptography, F5 image steganography and threshold decryption cryptosystem. The analysis, design and implementation phase of the software development of the voting system is discussed in detail. We have also used a questionnaire survey and did the user acceptance testing of the system.

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Determining the Number of Bit Encryption That Is Optimum for Image Steganography in 8 Bit Images

Agarwal

Tandle

2022

Advances in Sustainability Science and Technology

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Analysis of image steganography techniques in secure online voting

Cited by 5 publications

References 13 publications

Multiple Level Data Hiding Medical Image Base on Discrete Cosine Transform (Dct) Method Using Multiscale Image Sharing (Msis)

Multiple Level Data Hiding Medical Image Base on Discrete Cosine Transform (Dct) Method Using Multiscale Image Sharing (Msis)

Online Voting System based on Image Steganography and Visual Cryptography

Determining the Number of Bit Encryption That Is Optimum for Image Steganography in 8 Bit Images

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