A comprehensive review on email spam classification using machine learning algorithms

Mansoor Raza, Nathali Dilshani Jayasinghe, Muhana Magboul Ali Muslam

Research output: Book chapter/Published conference paperConference paperpeer-review

Abstract

Email is the most used source of official communication method for business purposes. The usage of the email continuously increases despite of other methods of communications. Automated management of emails is important in the today's context as the volume of emails grows day by day. Out of the total emails, more than 55 percent is identified as spam. This shows that these spams consume email user time and resources generating no useful output. The spammers use developed and creative methods in order to fulfil their criminal activities using spam emails, Therefore, it is vital to understand different spam email classification techniques and their mechanism. This paper mainly focuses on the spam classification approached using machine learning algorithms. Furthermore, this study provides a comprehensive analysis and review of research done on different machine learning techniques and email features used in different Machine Learning approaches. Also provides future research directions and the challenges in the spam classification field that can be useful for future researchers.

Original languageEnglish
Title of host publication2021 International Conference on Information Networking (ICOIN)
PublisherIEEE
Pages327-332
Number of pages6
ISBN (Electronic)9781728191010
ISBN (Print)9781728191027
DOIs
Publication statusE-pub ahead of print - 02 Feb 2021
Event35th International Conference on Information Networking, ICOIN 2021 - Ramada Plaza Jeju and virtual, Jeju Island, Korea, Republic of
Duration: 13 Jan 202116 Jan 2021
http://2021.icoin.org/main.php (Conference website)
http://2021.icoin.org/sub06/sub0602.php (Conference program)
https://ieeexplore.ieee.org/xpl/conhome/9333828/proceeding (Conference proceedings)

Publication series

NameInternational Conference on Information Networking
Volume2021-January
ISSN (Print)1976-7684

Conference

Conference35th International Conference on Information Networking, ICOIN 2021
Country/TerritoryKorea, Republic of
CityJeju Island
Period13/01/2116/01/21
OtherThe 35th International Conference on Information Networking (ICOIN) will take place in Jeju island, Korea & virtual conference, which is organized by Korea Institute of Information Scientists and Engineers (KIISE). It has been 35 years since ICOIN originally started under the name of Joint Workshop on Computer Communication in 1986. In past fifty years, computer communication and networking technologies have changed every aspect of our lives and societies. While computer networks have contributed largely to the current IT advancement, it will play a key role in new IT paradigms such as IoT and cloud computing and will be applied to various areas of the upcoming society including industry, business, politics, culture, medicine and so on. ICOIN is the most comprehensive conference focused on the various aspects of advances in computer communication and networking technologies. The main purpose of ICOIN 2021 is to improve our research by achieving the highest capability and encourage open discussions on computer communication and networking technologies. Authors are invited to submit original unpublished manuscripts that demonstrate recent advances in computer communications, wireless/mobile networks, and converged networks in the theoretical and practical aspects.
Internet address

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