International Research Journal of Engineering and Technology (IRJET)
e-ISSN: 2395-0056
Volume: 10 Issue: 06 | Jun 2023
p-ISSN: 2395-0072
www.irjet.net
Intelligent Spam Mail Detection System Taher Jodiawala
Manav Bhagia
Department of IT Engineering University of Mumbai Mumbai, Maharashtra, India taher.jodiawala_19@sakec.ac.in
Department of IT Engineering University of Mumbai Mumbai, Maharashtra, India manav.bhagia_19@sakec.ac.in
Prateek Duhoon
Shubhay Islaniya
Department of IT Engineering University of Mumbai Mumbai, Maharashtra, India prateek.duhoon_19@sakec.ac.in
Department of IT Engineering University of Mumbai Mumbai, Maharashtra, India shubhay.islaniya_19@sakec.ac.in
Nivedeeta Mukherjee
Nutan Dolzake
Department of IT Engineering University of Mumbai Mumbai, Maharashtra, India nivedeeta.mukherjee@sakec.ac.in
Department of IT Engineering University of Mumbai Mumbai, Maharashtra, India nutan.dolzake@sakec.ac.in
---------------------------------------------------------------------------***---------------------------------------------------------------------data secrecy and integrity, as well as a secure network Abstract – Emails are frequently used by individuals for
Email Security Systems are essential security software/tools that are used mainly for protection against malicious email activities. Data privacy has become a major issue when communicating via email.[11] The user desires
through which data can be transferred. There are many dangerous activities such as phishing and virus, which infects our data and causes the system to behave inappropriately or abnormally or attack the system's functionality.[5] One of the major issues is that personal data of an organization’s employees may contain extremely sensitive information, or trade secrets which can be leaked due to breaches is not an easy task.[9] There are many antivirus products on the market for e-mail system security, but today's attackers have a wide range of unusual skills at their disposal, allowing them to change the virus's existing code and thus compromise the system's security. A security system paired with new-age technology like AI and machine learning can make it a lot more effective and efficient.[5] There is an ever-increasing need of spam detection systems as email-borne attacks are also evolving over time; email is a common social engineering channel that is widely used by scammers, hackers, and others. As emails can be rapidly sent to many people it becomes a game of probability of some victim being scammed or falling prey to such malicious activity.[10] It is not just the people who are technologically illiterate that fall to such attacks, individuals accessing emails on the daily basis can also not realize when they are being targeted by spam mails. It is the need of the hour to not only identify spam mails but also alert the user about the same. It has been observed that spam mails rely on social engineering more than the technical aspect of emails.[9]
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professional and personal use. Many individuals possess more than one email id often provided by the organizations they are working with for professional use.[1] This indicates that multiple emails can be created and attackers make use of fake profile to con people by possessing as a genuine person from a legitimate organization. This is known as Email Phishing which is a popular cyber security attack used by attackers to gain sensitive information from users.[4] Nowadays, anyone can send an email to any organization or individual. This provides a golden opportunity to either send spam or malicious emails.[5] The goal of this paper is to identify these spam mails by using machine learning, which through its mechanisms, allows models to analyze massive amounts of complex data with the help of various algorithms and alert the user about suspicious and possibly spam mails. Keywords- Email, Spam, Phishing, Machine Learning, Accuracy
I. INTRODUCTION
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Impact Factor value: 8.226
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