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Design and Implementation of a Quantum-Based Cyber Threat Detection System at Nigeria Communications Commission (NCC), Abuja

  • Project Research
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  • Table of Content: Available
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  • NGN 5000

Background of the Study

As digital communication infrastructures become increasingly sophisticated, the number of cyber threats targeting communication systems has risen significantly. The Nigeria Communications Commission (NCC) plays a pivotal role in regulating and overseeing the communications sector, ensuring the safety and reliability of telecommunications services across Nigeria. With the growing complexity of cyber threats such as malware, ransomware, and denial-of-service attacks, the existing cybersecurity systems are often overwhelmed and unable to effectively detect and mitigate new, advanced threats.

Quantum computing, with its potential to process information at unprecedented speeds, offers new possibilities in the field of cybersecurity. Quantum algorithms, particularly in machine learning and cryptography, have the potential to revolutionize cyber threat detection by analyzing vast datasets for subtle patterns that are beyond the capabilities of classical systems. This study explores the design and implementation of a quantum-based cyber threat detection system that can enhance the NCC’s ability to detect, identify, and prevent cyber threats in real-time.

Statement of the Problem

The current cybersecurity systems at NCC, while effective, are challenged by the increasing complexity and sophistication of cyber threats. Traditional methods rely heavily on classical computing, which can be slow and ineffective when handling the vast amounts of data involved in communications networks. As cybercriminals adopt more advanced tactics, NCC requires a system that can quickly and accurately detect evolving threats. The potential for quantum computing to revolutionize cyber threat detection remains largely unexplored within the Nigerian regulatory context. This study aims to address the need for an advanced cybersecurity solution by evaluating the feasibility of quantum-based systems for real-time cyber threat detection at NCC.

Objectives of the Study

  1. To design a quantum-based cyber threat detection system tailored to the needs of the Nigeria Communications Commission.

  2. To evaluate the effectiveness of quantum algorithms in detecting and preventing cyber threats in telecommunications systems.

  3. To assess the feasibility of implementing a quantum-based cybersecurity system within the existing infrastructure of the NCC.

Research Questions

  1. How can quantum computing enhance the detection of cyber threats in telecommunications systems managed by the Nigeria Communications Commission?

  2. What are the advantages of using quantum algorithms over traditional methods in cyber threat detection?

  3. What challenges might the NCC face in implementing a quantum-based cyber threat detection system?

Significance of the Study

This study will provide insights into the potential of quantum computing to enhance cybersecurity in Nigeria's communications sector. By improving the ability to detect and mitigate cyber threats, the findings could contribute to a more secure and resilient communications infrastructure. Furthermore, this research could serve as a model for other regulatory bodies in Nigeria and beyond seeking to integrate quantum technologies into their cybersecurity strategies.

Scope and Limitations of the Study

The study will focus on the design and implementation of a quantum-based cyber threat detection system for the Nigeria Communications Commission in Abuja. Limitations include the availability of quantum computing resources and the challenge of integrating such systems with the existing telecommunications infrastructure at the NCC.

Definitions of Terms

  1. Quantum-Based Cyber Threat Detection: A method of identifying and mitigating cybersecurity threats using quantum computing algorithms to process and analyze large datasets quickly and efficiently.

  2. Telecommunications Security: The protection of communication networks and data from cyber threats such as hacking, malware, and unauthorized access.

  3. Cyber Threat: Any malicious attempt to breach or damage computer systems, networks, or digital assets.





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