Key exchange based on Diffie-Hellman protocol and image registration

Rimani, Rachid; Said, Naima Hadj; Pacha, Adda Ali; Özer, Özen

doi:10.11591/ijeecs.v21.i3.pp1751-1758

Cited by 2 publications

(2 citation statements)

References 12 publications

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“…Another work [12] based on steganography proposes a new method for key exchange that combines the Diffie-Hellman protocol with image registration techniques. The method involves concealing a key within a set of transformed images.…”

Section: Related Workmentioning

confidence: 99%

“…To secure network communications, cryptographic algorithms are employed, with the Diffie-Hellman key exchange algorithm being widely used in a public communication channel considered insecure [5]. While cryptography-based algorithms are robust in ensuring secure exchanges, they come with a significant cost in terms of energy consumption, memory usage, and resources [6].…”

Section: Introductionmentioning

confidence: 99%

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Secure IoT Seed-based Matrix Key Generator

AINE,

LEGHRIS

2024

IJACSA

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The rapid evolution of the Internet of Things (IoT) has significantly transformed various aspects of both personal and professional spheres, offering innovative solutions in fields from home automation to industrial manufacturing. This progression is driven by the integration of physical devices with digital networks, facilitating efficient communication and data processing. However, such advancements bring forth critical security challenges, especially regarding data privacy and network integrity. Conventional cryptographic methods often fall short in addressing the unique requirements of IoT environments, such as limited device computational power and the need for efficient energy consumption. This paper introduces a novel approach to IoT security, inspired by the principles of steganographythe art of concealing information within other non-secret data. This method enhances security by embedding secret information within the payload or communication protocols, aligning with the low-power and minimal processing capabilities of IoT devices. We propose a steganographic key generation algorithm, adapted from the Diffie-Hellman key exchange model, tailored for IoT. This approach eliminates the need for explicit parameter exchange, thereby reducing vulnerability to key interception and unauthorized access, prevalent in IoT networks. The algorithm utilizes a pre-shared 2D matrix and a synchronized seed-based approach for covert communication without explicit data exchange. Furthermore, we have rigorously tested our algorithm using the NIST Statistical Test Suite (STS), comparing its execution time with other algorithms. The results underscore our algorithm's superior performance and suitability for IoT applications, highlighting its potential to secure IoT networks effectively without compromising on efficiency and device resource constraints. This paper presents the design, implementation, and potential implications of this algorithm for enhancing IoT security, ensuring the full realization of IoT benefits without compromising user security and privacy.

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Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Secure IoT Seed-based Matrix Key Generator

AINE,

LEGHRIS

2024

IJACSA

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Empowering Secure Communication With Specific Triangular Matrices

Özer,

Subasi

2024

Advances in Information Security, Privacy, and Ethics

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In the fast-evolving realm of digital interaction and information sharing, cryptographic security serves as a fundamental pillar, safeguarding sensitive data and ensuring privacy. Cryptographic protocols, the fundamental elements of secure communication, rely on mathematical principles and computational strategies to foil attempts at breaching confidentiality and integrity. Within this domain, the upper triangular matrix has emerged as a significant mathematical concept. In this paper, an upper triangular matrix is used with Hill Chipher, logic map, and encryption/ decryption algorithms written in python programming language for cryptography. The mapping is done in a dictionary consisting of only writable characters of ASCII values and Turkish characters. Thus, both the Turkish character sensitivity and the character limit are extended with the string data type. Additionally, to these cryptographic methods, another different crypto approximation named as Hash function is considered; phyton codes prepared for the example, too.

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Key exchange based on Diffie-Hellman protocol and image registration

Cited by 2 publications

References 12 publications

Secure IoT Seed-based Matrix Key Generator

Secure IoT Seed-based Matrix Key Generator

Empowering Secure Communication With Specific Triangular Matrices

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