An Investigation of the Application of Quantum Computing for DNA Cryptography at National Biotechnology Development Agency, Abuja
- Project Research
- 1-5 Chapters
- Abstract : Available
- Table of Content: Available
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- Recommended for :
- NGN 5000
Background of the Study
Biotechnology has made tremendous strides in areas such as genetics, molecular biology, and biomedicine. DNA is often referred to as the blueprint of life, and the secure storage and transmission of genetic information are critical in fields such as medical research and personalized medicine. However, as with any sensitive data, the protection of genetic data from unauthorized access or misuse is of paramount importance. Traditional cryptographic techniques, while effective in securing digital information, may not be sufficient to handle the complexity of genetic data, particularly as the size and sensitivity of genetic datasets continue to increase.
Quantum computing has the potential to transform cryptography by using quantum mechanical principles to enhance data security. Quantum cryptography, in particular, offers theoretically unbreakable encryption methods, such as quantum key distribution (QKD), which could be highly beneficial for securing genetic information. This study aims to investigate the application of quantum computing in DNA cryptography, with a focus on enhancing the security of genetic data at the National Biotechnology Development Agency (NBDA) in Abuja.
Statement of the Problem
The secure transmission and storage of genetic information are critical to the success of biotechnology research and applications. Traditional encryption methods face limitations in ensuring the confidentiality of such complex data. Quantum cryptography offers a new paradigm for encryption, providing potentially stronger security guarantees. However, its practical applications in securing DNA data, particularly within the context of the National Biotechnology Development Agency, remain largely unexplored. This study seeks to address the gap by investigating how quantum computing can enhance DNA cryptography to secure sensitive genetic data.
Objectives of the Study
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To explore the potential applications of quantum computing for securing DNA data through cryptographic techniques.
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To evaluate the effectiveness of quantum cryptography methods in safeguarding genetic information at the National Biotechnology Development Agency.
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To assess the feasibility of integrating quantum-based cryptographic systems into the existing infrastructure at the NBDA.
Research Questions
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How can quantum cryptography be applied to secure DNA data in biotechnology research?
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What are the advantages of using quantum encryption over classical methods for securing genetic information?
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What challenges might the National Biotechnology Development Agency face in implementing quantum cryptography for DNA data protection?
Significance of the Study
This study holds significant potential for advancing the field of biotechnology by providing insights into the application of quantum cryptography for DNA data protection. By enhancing the security of genetic data, this research could improve trust and confidentiality in biotechnological research, fostering innovation and the safe use of genetic information.
Scope and Limitations of the Study
The study will focus on investigating the potential applications of quantum cryptography for DNA data protection at the National Biotechnology Development Agency, Abuja. Limitations include the current availability of quantum computing technologies and the challenges of integrating quantum cryptographic solutions with existing DNA data management systems.
Definitions of Terms
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DNA Cryptography: The use of cryptographic techniques to protect genetic data, ensuring its confidentiality and integrity during transmission and storage.
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Quantum Cryptography: A cryptographic method that uses the principles of quantum mechanics to secure data, including techniques such as quantum key distribution.
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Genetic Data: Biological information derived from DNA, including sequences that encode genetic traits and medical information.
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