This paper presents a blockchain-based mailing service designed to enhance email communication security, privacy, and accountability while effectively preventing spam through the application of machine learning techniques. By leveraging blockchain technology, the proposed system ensures verification and authentication of user identities, granting access to messages solely to authorized parties. A robust anti-spam system is established by utilizing blockchain`s capabilities, effectively filtering out unwanted emails and reducing the risk of phishing attacks. The integration of machine learning algorithms and natural language processing enables the analysis of email content for identification of potential spam mails. Furthermore, the blockchain serves as a transparent and auditable record of all sent and received emails, promoting greater accountability. Nevertheless, challenges related to maintaining user anonymity, achieving verification and authentication, and addressing scalability concerns require careful consideration. The proposed system incorporates a spam mail detection mechanism, integrating blockchain technology to secure email communication and prevent spam while utilizing machine learning-based algorithms to filter unwanted emails. Experimental results demonstrate the effectiveness of the system in spam detection, highlighting its ability to provide a secure and reliable mailing service.

Blockchain-based mailing service, Email communication, Spam prevention, Machine learning.

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