Machine learning for email spam filtering: review, approaches and open research problems

• DOI: 10.1016/j.heliyon.2019.e01802
• Publication Date: 2019-06-10T19:48:59Z
• Authors: Emmanuel Gbenga Dada; Joseph Stephen Bassi; Haruna Chiroma; Shafi'i Muhammad ...; Adebayo Olusola A...; Opeyemi Emmanuel ...
• Keywords: Forum spam; Bag-of-words model; Open research

The upsurge in the volume of unwanted emails called spam has created an intense need for development more dependable and robust antispam filters. Machine learning methods recent are being used to successfully detect filter emails. We present a systematic review some popular machine based email filtering approaches. Our covers survey important concepts, attempts, efficiency, research trend filtering. preliminary discussion study background examines applications techniques process leading internet service providers (ISPs) like Gmail, Yahoo Outlook Discussion on general process, various efforts by different researchers combating through use was done. compares strengths drawbacks existing approaches open problems recommended deep leaning adversarial as future that can effectively handle menace