Enhancing Network Management Through ChatGPT Integration: Automating Tasks, Improving Efficiency, and Ensuring Security
This thesis explores the integration of ChatGPT, a sophisticated AI model, into network and security management.
Ko Ko Naing, Ei, 2025
Art der Arbeit Master Thesis
Auftraggebende
Betreuende Dozierende Scherb, Christopher, Senn, Tim
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With the increasing complexity of network infrastructures and the evolving cyber threat landscape, traditional approaches to network management have become insufficient. This research investigates how ChatGPT can enhance threat detection, automate routine tasks, and improve decision-making processes within cybersecurity operations.
This research investigates how ChatGPT can enhance threat detection, automate routine tasks, and improve decision-making processes within cybersecurity operations. The study employs a comprehensive methodology, including data collection from academic sources and real-world cybersecurity operations, experimental design to evaluate ChatGPT's performance, and integration into existing security frameworks.
By leveraging AI-driven solutions like ChatGPT, this research aims to address key challenges in network and security management, contributing to more robust and adaptive cybersecurity practices.
Studiengang: Business Information Systems (Master)
Keywords
Vertraulichkeit: öffentlich