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DBIS

Kategorie: ‘Theses’

Enhancing Spam Email Detection via Sentiment-Modification using LLMs

June 27th, 2024 | by

Instruction-Based and Human Feedback-Driven Automation of LLM-Assisted Cybersecurity Playbook Translation into a Standardized, Machine-Readable Format

June 27th, 2024 | by

Reasoning-based LLM enhancement for the cybersecurity playbook translation into a standardised format

June 27th, 2024 | by

Automating Incident Response for Power Grids: A Playbook-Based Decision-Making Approach

June 7th, 2024 | by

Privacy-Preserving Data Aggregation for Smart Meters using Temporary Ring-Based Communication Structures

June 6th, 2024 | by

An Evaluation of Similarity-Preserving Bloom Encodings in URL-based Phishing Detection

May 28th, 2024 | by

LLM-based Tool for FAIR Data Assessment

May 17th, 2024 | by

A Condensation-based Anonymization Approach for Intrusion Detection

May 8th, 2024 | by

Local Differential Privacy Preserving Intrusion Detection Systems

May 8th, 2024 | by

Leveraging Large Language Models for Enhanced Decision Support in Home Energy Management

April 25th, 2024 | by

Large language models (LLMs) have proven the ability to assist diverse users in conducting a variety of individual tasks via intuitive and natural conversations. This thesis discusses a utilization of LLMs as a tool for informed decision-making in energy investments and operations. One major goal is to transform the way the consumers engage with home energy management systems and reduce expertise-related dependencies.