Adrian Andriu - Academia.edu (original) (raw)
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Papers by Adrian Andriu
Romanian Cyber Security Journal
The rapid evolution of phishing attacks poses a significant threat to email security, with tradit... more The rapid evolution of phishing attacks poses a significant threat to email security, with traditional detection methods struggling to keep up with the constantly changing landscape. This study investigates the use of Artificial Intelligence (AI) for developing adaptive phishing detection techniques capable of identifying and preventing sophisticated phishing attempts. By harnessing the power of AI, the proposed approach aims to enhance email security and protect users from the evolving tactics employed by attackers. This paper explores various machine learning algorithms, including deep learning and natural language processing techniques, to create an intelligent system capable of detecting phishing emails in real time. This system is designed to learn from a diverse dataset of phishing and legitimate emails, dynamically updating its detection capabilities in response to emerging trends and attack patterns. Additionally, the study examines the role of AI in identifying social engineering tactics, such as the use of personalized content and psychological manipulation, which are frequently employed in targeted phishing campaigns.
Romanian Cyber Security Journal
Romanian Cyber Security Journal
The rapid evolution of phishing attacks poses a significant threat to email security, with tradit... more The rapid evolution of phishing attacks poses a significant threat to email security, with traditional detection methods struggling to keep up with the constantly changing landscape. This study investigates the use of Artificial Intelligence (AI) for developing adaptive phishing detection techniques capable of identifying and preventing sophisticated phishing attempts. By harnessing the power of AI, the proposed approach aims to enhance email security and protect users from the evolving tactics employed by attackers. This paper explores various machine learning algorithms, including deep learning and natural language processing techniques, to create an intelligent system capable of detecting phishing emails in real time. This system is designed to learn from a diverse dataset of phishing and legitimate emails, dynamically updating its detection capabilities in response to emerging trends and attack patterns. Additionally, the study examines the role of AI in identifying social engineering tactics, such as the use of personalized content and psychological manipulation, which are frequently employed in targeted phishing campaigns.
Romanian Cyber Security Journal