Enhancing Cybersecurity Through Adaptive Anomaly Detection Using Modern AI Techniques

Enhancing Cybersecurity Through Adaptive Anomaly Detection Using Modern AI Techniques

This thesis explores how artificial intelligence (AI) techniques and machine learning (ML) algorithms can enhance adaptive anomaly detection frameworks while aiming to develop effective strategies for identifying and mitigating evolving cyberthreats. The main objective of this study is to create a u...

Full description

Bibliographic Details
Main Author: Verma, Dhruv
Other Authors: Faculty of Information Technology, Informaatioteknologian tiedekunta, Jyväskylän yliopisto, University of Jyväskylä
Format: Master's thesis
Language:eng
Published: 2024
Subjects:
Artificial Intelligence
Online Access: https://jyx.jyu.fi/handle/123456789/95217

Similar Items