Effects of Machine Learning and Artificial Intelligence in intrusion detection and crime prevention; case of Air Zimbabwe
- Author
- Gutu, Takawira T.
- Title
- Effects of Machine Learning and Artificial Intelligence in intrusion detection and crime prevention; case of Air Zimbabwe
- Abstract
- This study aimed to examine the strategies and tactics employed by Air Zimbabwe as well as the efficacy of artificial intelligence and machine learning in identifying intrusions and preventing crimes in an aviation-based company. Cybersecurity threats and criminal activities have become increasingly sophisticated, outpacing the capabilities of traditional rule-based intrusion detection systems and crime prevention methods. A qualitative research method to be used and a sample size of twenty participants selected through purposive sampling. Field data was gathered using a semi-structured interview guide. The objectives of the study were to: to investigate the potential of integrating machine learning and artificial intelligence with traditional security measures to enhance intrusion detection and crime prevention at Air Zimbabwe, as well as examine the impact of artificial intelligence driven analytics on crime prevention. The study will also try to develop and design an artificial intelligence detecting system and evaluate its performance. Finally, to look into the difficulties and restrictions of applying artificial intelligence and machine learning to intrusion detection and crime prevention in the aviation sector. The findings of this dissertation help foster a better comprehension of the role of machine learning and artificial intelligence in improving intrusion detection and crime prevention, while also highlighting the importance of developing appropriate governance frameworks to guarantee the ethical and appropriate use of these cutting-edge technology. The knowledge gained from this study can help guide the design. and implementation of future intelligent systems in cybersecurity and public safety, balancing the benefits of enhanced security with the preservation of civil liberties and societal well-being
- Date
- June 2025
- Publisher
- BUSE
- Keywords
- Artificial Intelligence
- Crime Prevention
- Detection
- Supervisor
- Mr. F. Chituma,
- Media
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Gutu, Takawira T.pdf