Suryadi MT
Universitas Indonesia

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The Implementation of Henon Map Algorithm for Digital Image Encryption Edi Sukirman; Suryadi MT; M. Agus Mubarak
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 12, No 3: September 2014
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v12i3.83

Abstract

Security information is a very important aspect that must be noticed. Information not only in the form of text but also in form of data image. Using data encription to send private information have been widely use. But still need to improve the endurance from bruto force attack. One ways to improve it, is by using chaos theory with henom algorithm. Test result gave the alghoritm can encrypt image data from grayscale type to colorfull type. Encryption and descryption time proportional to the size image. Composition and variety coulor doesn’t effect the time. This algorithm has key space of  and key sensitivity up to . So, it can be concluded that, the algorithm is very difficult to be cracked by brute force attack.
A new hybrid dyadic-tent chaotic function for secure digital image encryption Anymore Majere; Hiento Suharja; Suryadi MT
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 24, No 4: August 2026
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v24i4.27703

Abstract

Image encryption is significant for protecting visual data in modern digital communication systems. The sensitivity of chaotic functions to initial conditions and strong pseudo-randomness has led to their usefulness as cryptography techniques. This study developed a new hybrid chaotic function which combines the Dyadic Transformation Map and the Tent Map to create a stronger and more secure mechanism for image encryption. To further enhance keystream unpredictability, SHA-256 hashing was used as a whitening layer. The chaotic characteristics of the proposed function were evaluated using the Lyapunov exponent, confirming its usefulness in cryptography. The hybrid function was tested on both grayscale and color images to evaluate its performance in entropy, histogram uniformity, pixel decorrelation, and resistance to statistical attacks, and the effect of SHA-whitening. Results show that the hybrid function provides strong pixel diffusion and confusion while maintaining low computational cost, making it a lightweight yet highly secure encryption method. Thus, the proposed approach offers an effective and reliable solution for image protection in resource-constrained environments.
Newchaos function from the composition of DTM and Gauss iterated map for digital image encryption Adrianus Yosia; Tokonyai Tawanda Jonathan Rabvemhiri; Suryadi MT
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 24, No 1: February 2026
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v24i1.27551

Abstract

This manuscript introduces a novel chaotic discrete function, formulated through the composition of the dyadic transformation map (DTM) and the Gauss iterated map (GIM), and designated as DTGIM. The National Institute of Science and Technology (NIST) randomness test suite, bifurcation diagrams, and Lyapunov exponents are used to examine the chaotic characteristics of DTGIM. With ini tial condition x0 = 0.12345 and parameters α = −15 and β = 0.3, the func tion shows chaotic behavior in the bifurcation diagram and produces a positive Lyapunov exponent. Strong randomness is further confirmed by NIST tests, which achieve 100% for 32-bit binary sequences and 63.75% for 8-bit binary sequences. Additionally, we compare a number other chaotic discrete functions that also employ the composition method. These findings show that DTGIM is a viable option for applications involving chaos-based cryptography.