DNA Encryption and Adaptive Huffman Compression for Enhanced IoT Security and Storage

Problem Definition

The existing literature indicates a number of challenges and limitations in current approaches to securing data transmitted over the internet, particularly in the context of IoT devices. While conventional protocols have focused on aspects like registration, identification, and deployment for IoT security, there is a need for improvement in key areas. One major issue identified is the use of traditional Hash functions for key generation in the registration phase, which can be ineffective and challenging to implement if keys are not stored securely. Additionally, encryption algorithms employed in existing methods have been found to be inefficient, emphasizing the need for updated and more robust encryption techniques. Further complicating matters is the lack of data compression techniques in conventional systems, leading to excessive memory usage.

To address these pain points and enhance the security of valuable data, it is imperative to implement more advanced encryption and encoding techniques in IoT security protocols.

Objective

The objective of the proposed work is to address the shortcomings in current IoT security protocols by implementing advanced encryption and encoding techniques. Specifically, the goal is to improve key generation in the registration phase, enhance encryption methods, and introduce data compression techniques to reduce memory usage. By utilizing a DNA encryption method and adaptive Huffman encoding, the project aims to enhance data security, optimize storage space, and ensure efficient transmission of data over the internet.

Proposed Work

From the problem definition and literature survey done, it is evident that there is a research gap in the existing methods for ensuring the security of data transmitted over the internet, particularly in the IoT domain. The key generation module in the registration phase and encryption techniques were identified as areas that require improvement. The proposed objective aims to address these issues by implementing a DNA encryption method and adaptive Huffman encoding technique for data compression in order to enhance data security and reduce memory space usage. The proposed work will focus on developing a novel technique that combines data encryption and compression methods to provide a higher level of security and optimize storage space. By encrypting the data using a DNA-based encryption method and then applying adaptive Huffman encoding for compression, the system will ensure that the data is both secure and efficiently stored.

The rationale behind choosing these specific techniques lies in their effectiveness in providing security and reducing data size. By implementing these methods, the project aims to achieve the objective of enhancing data security while optimizing memory space usage for transmitting data over the internet.

Application Area for Industry

This project can be effectively utilized in various industrial sectors such as healthcare, finance, and secure communications. In the healthcare industry, the proposed solutions can address the challenges of securing patient data and transmitting medical records securely over the internet. By implementing the novel technique of DNA-based encryption and adaptive Huffman encoding, healthcare organizations can ensure the privacy and security of sensitive patient information while optimizing storage space. In the finance sector, the project can help in safeguarding financial transactions and personal data against cyber threats by enhancing data encryption techniques. Furthermore, in secure communications, the proposed solutions can be applied to protect sensitive information shared between individuals or organizations, ensuring confidentiality and integrity of the data being transmitted.

Overall, the benefits of implementing these solutions include enhanced data security, reduced storage space requirements, and improved protection against unauthorized access or data breaches.

Application Area for Academics

The proposed project holds great potential to enrich academic research, education, and training in the field of data security and storage optimization. By combining DNA-based encryption and Adaptive Huffman encoding techniques, this project offers a novel approach to ensuring data security while also reducing the size of data for efficient storage. Researchers in the field of data security and encryption can utilize the proposed code and literature as a valuable resource for exploring innovative research methods and simulations. The integration of DNA-based encryption and Adaptive Huffman encoding opens up new avenues for exploring cutting-edge techniques in securing data transmission over the internet. MTech students and PhD scholars specializing in data security, cryptography, or information technology can benefit from this project by gaining practical insights into advanced encryption and compression techniques.

By studying and implementing the proposed algorithms, they can enhance their understanding of data security protocols and contribute to the development of more efficient solutions in this domain. The application of DNA-based encryption and Adaptive Huffman encoding in this project can have far-reaching implications in various research domains, particularly in fields that require secure transmission and storage of sensitive data. Researchers and students can explore the potential applications of these techniques in areas such as healthcare data management, financial transactions, and secure communication channels. In conclusion, the proposed project not only addresses the existing limitations in conventional data security protocols but also lays the groundwork for future research in encryption and data optimization. By leveraging the code and literature of this project, academics and students can delve into the realm of advanced data security methods and contribute to the advancement of knowledge in this critical field.

The future scope of this project may include further optimization of encryption and compression techniques, as well as exploring their application in real-world scenarios to enhance cybersecurity measures.

Algorithms Used

The DNA based encryption algorithm is used to convert the selected input data into a DNA sequence, providing a unique and secure method of encryption for data protection. This algorithm contributes to the project's objective of enhancing security by adding an additional layer of protection to the data being transmitted. The adaptive Huffman encoding algorithm is then applied to compress the encrypted data. This algorithm improves efficiency by reducing the size of the encrypted data, which helps in saving storage space and optimizing data transmission over the internet. By using an enhanced variant of Huffman encoding, the algorithm ensures effective compression while maintaining data integrity.

Overall, the combination of these two algorithms in the proposed technique helps in achieving data security and compression simultaneously, ensuring a reliable and efficient method for secure data transmission and storage.

Keywords

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