Abstract
Almost everyone uses a mail service at some point in their life. We all are completely dependent on Gmail-like applications. When such services are down, we face a lot of trouble. Also, privacy is an issue of concern nowadays. The idea behind this application is to create a mail service that has highly customizable components and gives an organization complete control over privacy. We have used techniques that require less computational power making it affordable for all. The main highlights of the application are everyday mail, chat, video call, and spam detection using machine learning, email search optimization, and data privacy using cryptography. A product is created where a user can use the electronic mail functionality to send, receive emails, with added features like search mail, star, and mark as important. The spam detection algorithm will automatically send emails to the spam folder based on various parameters defined, using machine learning algorithms. Encryption and decryption of the mail contents are done using asymmetric cryptographic algorithms. Also, for searching mails in application, proper study and indexing for documents have been done to give emphasis on faster retrievals.
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Asher, H., Bongale, R., Bapecha, T. (2022). ExpressMailer: Fast, Customizable, and Secure Mail Service . In: Goar, V., Kuri, M., Kumar, R., Senjyu, T. (eds) Advances in Information Communication Technology and Computing. Lecture Notes in Networks and Systems, vol 392. Springer, Singapore. https://doi.org/10.1007/978-981-19-0619-0_28
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DOI: https://doi.org/10.1007/978-981-19-0619-0_28
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