Data Encryption Using Hybrid Adaptive Elliptical Curve Cryptography And LM Based DNA Sequencing In IoT For Future Networks - Softcover

Sheetalkumar, Hanchate Rohini

9798224508730: Data Encryption Using Hybrid Adaptive Elliptical Curve Cryptography And LM Based DNA Sequencing In IoT For Future Networks

Softcover

ISBN 13: 9798224508730

Publisher: Mohammed Abdul Sattar, 2024

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Rapid growth in information technologies & computer network environments where large files, information, images, videos securely transferred in open networks such as the internet. When attempting to prevent unauthorized access to user confidential personal image data, it is necessary to use a variety of strategies because of the unique characteristics of each kind of data. Encryption involves modifying data to safeguard it against unauthorized access. The vast majority of currently available encryption algorithms are designed to work with text data, Regardless of the widespread use of data encryption as a preventative measure in many contexts. It is possible that algorithms that work well with textual data won't work well with multimedia data due to the vast amount of data involved and the time constraints involved. Encryption techniques like DES, AES, RSA, and IDEA were specifically designed for securing textual information. Despite the fact that Triple-DES and IDEA can achieve a high level of security, it is possible that these methods are not suitable for use in multimedia applications. These algorithms are an ideal choice for ensuring the safety of textual data. However, there are various ways in which digital images and texts are distinct from one another, and as a result, they call for distinct encryption techniques.

Elliptical Curve Cryptography (ECC) is renowned for its high security and efficiency, particularly suitable for the constrained resources of IoT devices. By adapting ECC in a hybrid manner, the proposed method leverages its strength in creating secure keys while optimizing performance to handle the dynamic nature of IoT networks.

To bolster security, the encryption process incorporates LM-based DNA sequencing. This novel approach mimics biological DNA sequences to encode data, offering an additional layer of complexity and resilience against cryptographic attacks. The integration of DNA sequencing methods ensures data integrity and confidentiality by making the encrypted data substantially harder to decipher using conventional means.

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