Email Security: A Systematic Survey

Email Security is considered a major concern as the attacks related to phishing and spoofing are getting advanced which makes the security system difficult to identify them. This survey conducted on email security analyzes the latest research conducted on this topic and learns that by creating a combination of different techniques like machine learning, deep learning and header analysis can provide a better solution for securing the email security. This evaluation also noticed the growth of Explainable AI (XAI), which provides a better clarity and simplifies AI-driven decisions. Despite promising outcomes, there are still challenges which include new attacking strategies, limitation of datasets to conduct research, increase in computational requests and danger from hostile attacks. The future research should concentrate on points like availability of dataset primarily based on headers which will help in detecting spoofing as well as expand adaptive, adjustable and smart security remedies that can defend themselves against advanced attacks in real-time. As this survey highlights the combination of precise identification while enhancing clarity and functional effectiveness which can help to create secure and trusted communication for email service used by organizations, institutions, businesses and individuals.

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