Streamlining the analysis of phishing emails using Artificial Intelligence

• Main Author: Fernandes, Eduardo Rocha
• Publication Date: 2024
• Format: Master thesis
• Language: eng
• Source: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
• Download full: http://hdl.handle.net/10773/45053
• topic: E-mail; Phishing detection; Natural language processing; Emotion analysis; Artificial intelligence; Phishing detection

The increasing sophistication and frequency of email phishing attacks pose a significant challenge to cybersecurity. This thesis explores the integration of Artificial Intelligence (AI), specifically Natural Language Processing (NLP) and Machine Learning (ML)/Deep Learning (DL) techniques, to enhance the detection of phishing emails and emotion analysis. By using AI-driven NLP modules, this study aims to develop an AI-based solution that accurately detects phishing emails and includes automated response capabilities. Tested in a local environment, the proposed framework demonstrates its potential to improve phishing detection efficiently. Ultimately, this research contributes to the cybersecurity field by providing a comprehensive, AIpowered framework for more robust phishing email detection.