A recent survey on data hiding techniques

Singh, Sandeep; Singh, Amit Kumar; Ghrera, Satya Prakash

doi:10.1109/i-smac.2017.8058306

Cited by 9 publications

(7 citation statements)

References 14 publications

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“…Namun seiring berjalannya waktu muncul permasalahan baru yaitu dalam hal data message semakin terus bertambah yang ingin disembunyikan ke dalam sebuah cover [6], maka dari itu pada paper ini proposed method, penulis mengacu pada RRBE framework [8] dengan meningkatkan kapasitas dari images pada saat dilakukannya interpolasi sebanyak 2 times dari metode sebelumnya, maka dari itu pada hasil yang diharapkan images mampu menampung message payload sebesar 15%.…”

Section: Pendahuluanunclassified

Pengembalian Penyembunyian Data Dari Gambar Enkripsi Menggunakan Penyediaan Ruang Kapasitas Tambahan Sebelum Di Enkripsi

Setiawan

Husna²

2022

JTI

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Pengembalian data yang disembunyikan pada enkripsi images telah banyak digunakan dan menjamin kerahasiaan untuk medical imagery, military imagery, dan law forensics. Dan banyak kemajuan penelitian mengenai hal ini. Namun penyembunyian data menggunakan image juga memiliki keterbatasan terhadap kualitas dan kapasitas, dimana kedua hal ini selalu berbanding terbalik. Beberapa penelitian sebelumnya hanya terfocus pada salah satu keterbatasan tersebut. Maka dari itu pada penelitian kali ini, kami menggunakan metode reserving room untuk menyembunyikan data sebelum cover image dienkripsi. Metode yang diajukan ialah dengan menambahkan kapasitas sehingga mampu memenuhi permintaan penyembunyian data atau message untuk ukuran yang lebih besar. Sedangkan metode LSB-plane untuk pemilihan blok yang menerima untuk penyembunyian message data dan menggunakan tradisional teknik RDH untuk mengenkripsi dan dekripsi images sehingga cover image maksimal. Hasil eksperiment menunjukkan bahwa metode yang diajukan memberikan kualitas yang unggul untuk menjaga nilai PSNR proses embedding diatas 0.5 bpp sehingga aplikasi ini mampu menyembunyikan data yang lebih besar.

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Section: Pendahuluanunclassified

Pengembalian Penyembunyian Data Dari Gambar Enkripsi Menggunakan Penyediaan Ruang Kapasitas Tambahan Sebelum Di Enkripsi

Setiawan

Husna²

2022

JTI

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“…After it was generating sequences, it must be tested to know the sequences generated either chaotic or not. For knowing randomness in sequences generated or no, it is generated Gaussian noise to compare correlation of sequences generated with correlation of Gaussian noise as shown Fig (1). For better security, the shape of chaotic maps correlation should be a delta function.…”

Section: Multiple Chaotic Mapsmentioning

confidence: 99%

“…The digitization is becoming unusually energetic in everything; Digital data is appearing everywhere at the present time [1]. In the secure communications, steganography is playing important role.…”

Section: Introductionmentioning

confidence: 99%

A Multiplicative-Additive Chaotic-Address Steganography

Alwan

Hussain

2021

Jour. Kufa Math. Comp.

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In this study, Multiple-Chaotic maps were merged by using multiplicative-additive form to generate the chaotic sequences which are used to track the addresses of shuffled bits in steganography. Three techniques are introduced for image steganography in the spatial domain. The first system is based on the well-known LSB technique, the second system is based on looking for the identical bits between the secret message and the cover image and the third system is based on the concept of LSB substitution, it is employed the mapping of secret data bits with cover pixel bits. It was tested and evaluated security levels for the proposed techniques by using the Peak Signal-to-Noise Ratio (PSNR), Mean Square Error (MSE), histogram analysis and correlative analysis and tested the Chaotic sequences generated by using correlation, Lypaunov exponents, Poincaré section and 0-1Test. The results show that the proposed methods perform better than existed systems.

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“…Here 𝑃 ̅ , 𝐶 ̅ is the mean of plain and encrypted image and 𝜎 𝑃 and 𝜎 𝐶 is the standard deviation of plain as well as encrypted image. Further 𝜎 𝑃𝐶 represents cross-correlation and B1 =(K1 O) 2 and B2 = (K2 O) 2 , where O is dynamic range of pixel values and K1 = 0.02 and K2 =0.03. It's evident from results in table 6.…”

Section: Encryption Qualitymentioning

confidence: 99%

“…Researchers around the globe have introduced substantial approaches along with new and novel assaults to secure digital systems. Recently data concealment techniques to encode and decode the data with the intention to stop any unauthorized access becomes front runner in information security [1], [2]. Cryptography relies on three core principals of authentication, integrity, and privacy.…”

Section: Introductionmentioning

confidence: 99%

A novel symmetric image cryptosystem resistant to noise perturbation based on S8 elliptic curve S-boxes and chaotic maps

et al. 2020

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The recent decade has seen a tremendous escalation of multimedia and its applications. These modern applications demand diverse security requirements and innovative security platforms. In this manuscript, we proposed an algorithm for image encryption applications. The core structure of this algorithm relies on confusion and diffusion operations. The confusion is mainly done through the application of the elliptic curve and S8 symmetric group. The proposed work incorporates three distinct chaotic maps. A detailed investigation is presented to analyze the behavior of chaos for secure communication. The chaotic sequences are then accordingly applied to the proposed algorithm. The modular approach followed in the design framework and integration of chaotic maps into the system makes the algorithm viable for a variety of image encryption applications. The resiliency of the algorithm can further be enhanced by increasing the number of rounds and S-boxes deployed. The statistical findings and simulation results imply that the algorithm is resistant to various attacks. Moreover, the algorithm satisfies all major performance and quality metrics. The encryption scheme can also resist channel noise as well as noise-induced by a malicious user. The decryption is successfully done for noisy data with minor distortions. The overall results determine that the proposed algorithm contains good cryptographic properties and low computational complexity makes it viable to low profile applications.

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A recent survey on data hiding techniques

Cited by 9 publications

References 14 publications

Pengembalian Penyembunyian Data Dari Gambar Enkripsi Menggunakan Penyediaan Ruang Kapasitas Tambahan Sebelum Di Enkripsi

Pengembalian Penyembunyian Data Dari Gambar Enkripsi Menggunakan Penyediaan Ruang Kapasitas Tambahan Sebelum Di Enkripsi

A Multiplicative-Additive Chaotic-Address Steganography

A novel symmetric image cryptosystem resistant to noise perturbation based on S8 elliptic curve S-boxes and chaotic maps

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