Comparison of spam classification methods based on machine learning
Chengrong Wu, Jianlin Wang · Applied and Computational Engineering · 2023
Wapid development of the Internet, people's use of mail continues to expand, anti-spam has become a top priority. According to the statistics of relevant departments, in 2006, the total amount of spam mails received by netizens was 50 billion, which caused an economic loss of about 10.431.5 billion yuan to the national economy. In 2007, netizens received 69.4 billion pieces of junk mail, with a loss of 18.84 billion yuan. The growth rate was 38.8 percent. Spam is the main culprit that consumes network resources. Of course, preventing spam is a long way to go. Among the types of spam received by users, the top three are online shopping spam, online money-making spam and sex toys spam, which account for 17.57%, 12.55% and 9.21% respectively. Followed by attack spam, spam containing viruses, etc. At present, anti - spam main technology and method means.