Evaluation of Phishing Attacks: From Gmail to AI- Driven Attacks
Mrs. R. Anitha1 , S. Swetha2
Assistant Professor, Department of Computer Science, Dr.N.G.P Arts and Science College,India
Student, Department of Commerce with Information Technology, Dr.N.G.P Arts and Science College,India
ABSTRACT
Phishing has evolved from the traditional email-based fraud to high-tech threats fueled by artificial intelligence. The evolution in phishing techniques has been traced in the research with a focus on Gmail- based phishing and the recent advancements in social engineering with the aid of artificial intelligence. With real-world phishing campaigns, we trace the attack vectors employed by attackers and the counter- attacks made by security systems. The research elaborates on the role played by machine learning and artificial intelligence in performing and thwarting phishing attempts. With case studies and data analysis, we provide insights into the effectiveness of anti-phishing measures and underscore the necessity of proactive security solutions. The findings underscore the need to evolve security systems in real time to counter the dynamic changes in phishing threats.Phishing threats continue to be among the most widespread cyber security threats, from the initial fraudulent emails to highly sophisticated artificial intelligence-based attacks. The paper assesses the evolution of phishing methods with a consideration of Gmail-based phishing scams and the role played by artificial intelligence in allowing attackers to produce more authentic social engineering methods. The research considers several mechanisms to detect phishing attempts such as email filtering systems and artificial intelligence-based security solutions and awareness and security training to users. The research considers real-life phishing instances to identify significant vulnerabilities and offer suggestions to counteract phishing threats. The research emphasizes the need to ensure continuous innovation in cyber security to counteract sophisticated phishing methods.
Keywords
Phishing Attacks, Gmail Security, AI Cyber Threats, Social Engineering, Cyber security, Email Spoofing, Machine Learning, Anti-Phishing Measures
