Implementation of AI-Powered Network Anomaly Detection in Federal University, Dutsin-Ma, Katsina State
- Project Research
- 1-5 Chapters
- Abstract : Available
- Table of Content: Available
- Reference Style:
- Recommended for :
- NGN 5000
Background of the Study
As cyber threats become more advanced, traditional security measures such as rule-based intrusion detection systems (IDS) are proving ineffective in identifying sophisticated attacks. Artificial intelligence (AI) has emerged as a powerful tool for enhancing network security by analyzing large datasets, detecting anomalies, and predicting potential security threats (Chukwu & Adewale, 2024). AI-powered network anomaly detection uses machine learning algorithms to identify suspicious activities that may indicate cyber threats.
Federal University, Dutsin-Ma, has a complex network infrastructure that supports students, staff, and administrative operations. The increasing use of online learning platforms and cloud services has introduced new security challenges, including unauthorized access, malware propagation, and denial-of-service attacks (Mustapha et al., 2023). Implementing AI-powered network anomaly detection can help the university enhance its ability to detect and respond to emerging cyber threats in real time.
Statement of the Problem
Traditional network security systems rely on signature-based detection methods, which struggle to identify zero-day attacks and evolving threats. Federal University, Dutsin-Ma, lacks an AI-driven security solution that can analyze network behavior and detect anomalies effectively. Implementing an AI-powered anomaly detection system will help the university improve its cybersecurity resilience.
Objectives of the Study
-
To analyze the current network security challenges at Federal University, Dutsin-Ma.
-
To implement an AI-powered network anomaly detection system for real-time threat monitoring.
-
To evaluate the effectiveness of AI in detecting and mitigating network anomalies.
Research Questions
-
What are the existing network security challenges at Federal University, Dutsin-Ma?
-
How can AI improve the detection of network anomalies?
-
What are the key performance metrics for evaluating AI-powered network anomaly detection?
Significance of the Study
This study will contribute to the field of cybersecurity by demonstrating the effectiveness of AI in network anomaly detection. It will assist IT administrators in implementing intelligent security solutions to protect the university’s network.
Scope and Limitations of the Study
The study focuses on AI-powered network anomaly detection at Federal University, Dutsin-Ma, Katsina State. It does not cover general AI applications beyond cybersecurity.
Definitions of Terms
-
Network Anomaly Detection: The process of identifying unusual network behavior indicative of cyber threats.
-
Machine Learning: A branch of AI that enables systems to learn from data and improve their performance.
-
Zero-Day Attack: A cyberattack that exploits an unknown vulnerability in a system.
Related Project Materials
Evaluation of IoT‐Based Smart Home Security Systems for Staff Quarters in Minna LGA, Niger State
Background of the study
With the rapid evolution of digital technology, home security systems have undergone significant a...
A Comparative Study of Business Sustainability Strategies in Rural vs. Urban Enterprises: A Case Study of SMEs in Kwara State
Background of the Study
Business sustainability has become a critical area of focus fo...
OCCUPATIONAL SAFETY AND HEALTH HAZARDS AMONG EMPLOYEES
ABSTRACT
This research project tends to examine Occupational Safety and Health Hazards among Emplo...
POSSESSION OF POOR COMMUNICATION SKILLS BY SECRETARIES WORKING IN GOVERNMENT ESTABLISHMENT
ABSTRACT
This study was carried out to examine the possession of poor communication skills by secr...
MAN-POWER TRAINING AS AN AID TO MANAGEMENT IN BUSINESS ENTERPRISES(A CASE STUDY OF EMENITE NIGERIA LIMITED ENUGU)
ABSTRACT:- The purpose of this research work is to evaluate how manpower training programme contribute in aiding...
The effect of home environment on students' interest in STEM subjects in Dawakin Kudu LGA, Kano State
Background of the Study
The home environment plays a crucial role in shaping students' academic interests and att...
THE DETERMINANCE OF INDUCED ABORTION AMONG UNDERGRADUATES STUDENTS IN NIGERIA
ABSTRACT
This study examines the determinance of induced abortion among undergraduates students in...
An investigation into the relationship between early childhood education and parental employment in Dawakin Tofa Local Government Area, Kano State
Background of the Study
Early childhood education is widely recognized as a foundational pillar that not only influences a...
An examination of the effect of widowhood practices on women's mental health in Ikwerre Local Government Area, Rivers State.
Background of the Study
The practice of widowhood in the Ikwerre Local Government Area of Rivers State represents a comple...
CORPORATE GOVERNANCE AND ITS INFLUENCE ON PUBLIC ACCOUNTING STANDARDS
CORPORATE GOVERNANCE AND ITS INFLUENCE ON PUBLIC ACCOUNTING STANDARDS
This study aims to explore the influence of corporate governance on...
