Securing IoT Data through DNA and Blockchain Encryption techniques

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Securing IoT Data through DNA and Blockchain Encryption techniques

Problem Definition

The existing literature outlines several key limitations and challenges in the domain of IoT security, particularly regarding traditional encryption techniques like RSA and ECC. These methods are susceptible to attacks, particularly side-channel attacks, and may not be suitable for resource-constrained IoT devices. The integration of blockchain and AI with encryption has emerged as a promising solution to enhance the security of IoT systems. Blockchain technology offers potential solutions to key management challenges, while AI can improve the efficiency and effectiveness of encryption algorithms. However, there is a clear need for an improved scheme that addresses the vulnerabilities of traditional encryption methods and enhances the security, scalability, and efficiency of IoT systems.

This proposed scheme aims to optimize encryption algorithm performance, address key management challenges, and cater to the heterogeneity of IoT devices to provide a comprehensive solution for securing IoT systems.

Objective

The objective of this project is to enhance the security, scalability, and efficiency of IoT systems by integrating DNA-based encryption and blockchain technology. This aims to address the vulnerabilities of traditional encryption methods like RSA and ECC, which are not suitable for resource-constrained IoT devices. By utilizing DNA encryption for randomness and diversity, and blockchain technology for secure data storage and management, the proposed scheme aims to provide a more robust solution for securing IoT systems. This comprehensive approach seeks to optimize encryption algorithm performance, address key management challenges, and cater to the heterogeneity of IoT devices.

Proposed Work

The proposed project aims to address the security challenges faced by IoT systems by integrating DNA-based encryption and blockchain technology. Traditional encryption techniques like RSA and ECC have limitations and are vulnerable to attacks, making them unsuitable for resource-constrained IoT devices. By leveraging DNA encryption and blockchain, the proposed scheme aims to enhance security, scalability, and efficiency in IoT systems. The DNA-based encryption algorithm ensures high randomness and diversity, making data encryption more secure. The data is then stored and managed securely using blockchain technology, which provides a decentralized and tamper-evident network to prevent unauthorized access or modification of data.

This approach is expected to overcome the limitations of traditional encryption techniques and provide a more robust solution for IoT data security.

Application Area for Industry

This project's proposed solutions can be applied across various industrial sectors such as healthcare, finance, smart city infrastructure, and manufacturing. In the healthcare sector, where patient data security is crucial, the use of DNA-based encryption and blockchain technology can ensure the confidentiality and integrity of sensitive information. In the financial sector, where secure transactions are paramount, the proposed approach can prevent unauthorized access to financial data and ensure the privacy of customer information. In smart city infrastructure, where data from various sensors and devices need protection, the integration of DNA encryption and blockchain can safeguard critical infrastructure and prevent cyber-attacks. Lastly, in the manufacturing sector, where IoT devices are used for automation and production processes, the enhanced security provided by the proposed algorithm can protect valuable intellectual property and sensitive operational data.

Overall, the implementation of this project's solutions can help industries overcome the challenges of key management, device heterogeneity, and data security, ultimately improving the efficiency and reliability of their IoT systems.

Application Area for Academics

The proposed project on enhancing IoT data security through DNA-based encryption and blockchain technology has the potential to enrich academic research, education, and training in various ways. This project can provide a unique and innovative approach to encryption algorithms in the IoT domain, addressing the limitations of traditional methods and offering a more secure solution. Researchers in the field of cryptography, IoT security, and blockchain technology can leverage the code and literature from this project for further research and experimentation. The integration of DNA-based encryption and blockchain technology opens up new avenues for exploring novel encryption techniques and data storage methods. MTech students and PhD scholars can use the insights and methodologies from this project to develop their research projects and thesis work.

The project also has relevance and potential applications in pursuing innovative research methods, simulations, and data analysis within educational settings. By exploring the combination of DNA encryption and blockchain technology, students and researchers can gain practical experience in designing and implementing secure systems for IoT devices. This hands-on experience can enhance their skill set and prepare them for future challenges in the field of cybersecurity and data protection. In terms of future scope, the project can be further extended to explore the scalability and performance of the proposed encryption algorithm in real-world IoT systems. Additionally, researchers can investigate the impact of DNA-based encryption on energy consumption and resource utilization in IoT devices.

This project sets the stage for ongoing research and development in the domain of IoT security, offering valuable insights and opportunities for academic exploration.

Algorithms Used

The present work proposes an improved encryption algorithm combining DNA-based encryption and blockchain technology to enhance IoT data security. DNA encryption provides high randomness and diversity, converting data into DNA sequences for secure encryption. Block chain technology ensures secure storage and management of encrypted data in a decentralized, tamper-evident manner. The combined use of DNA encryption and blockchain technology offers a robust approach to address security issues in IoT data preservation and prevent unauthorized access or modification of data.

Keywords

SEO-optimized keywords: DNA-SHA25, Data security, Blockchain, Cryptography, DNA encryption, Data integrity, Data privacy, Blockchain technology, Distributed ledger, Decentralized network, Secure data storage, DNA-based cryptography, DNA sequencing, Genetic information, Cybersecurity, Data protection, Privacy-preserving techniques, Artificial intelligence, IoT systems, Encryption algorithms, Key management, Resource-constrained devices, Side-channel attacks, RSA, ECC, Literature review, Challenges, Limitations, Proposed scheme, Improved encryption algorithm, DNA-based encryption, Blockchain integration, Security enhancement, Efficiency optimization, Device heterogeneity, Tamper-evident, Immutable data, Data encryption, Mapping mechanism, Blockchain nodes, Brute-force attacks, Secure data management, Improved scheme.

SEO Tags

problem definition, literature review, traditional encryption techniques, RSA, ECC, IoT systems, side-channel attacks, resource-constrained IoT devices, blockchain, AI, security enhancement, key management, encryption algorithms, proposed scheme, scalability, efficiency, device heterogeneity, improved encryption algorithm, security issues, IoT domain, DNA-based encryption, blockchain technology, cryptography, data encryption, encryption phase, mapping mechanism, decentralized network, tamper-evident, immutable data, hacker, DNA sequences, random, diversity, robust approach, brute-force attacks, data integrity, data privacy, traditional encryption techniques, vulnerability, key management, DNA-SHA25, data security, blockchain, DNA encryption, data integrity, data privacy, blockchain technology, distributed ledger, decentralized network, secure data storage, DNA-based cryptography, DNA sequencing, genetic information, cybersecurity, data protection, privacy-preserving techniques, artificial intelligence

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