Spam Identification in Cloud Computing Using ...

Spam Identification in Cloud Computing Using text Filtering

Author Name : Niketh PS, Mr. Ashish L

ABSTRACT With the rapid growth and diversity of spam on the Internet, how to quickly and effectively identify the many spams on the Internet has become an urgent problem. Cloud computing has distinct advantages in terms of storage and processing, so it can compute large email files. Due to the uncertainty and existence of spam, feedback and reposting have also been added to spam protection, and four levels of filtering are used: active learning, training, filtering, feedback and refiltering. The feedback filter system can improve the filter effect of the content compared with the old system. To reduce the negative decision of ordinary emails and improve the accuracy of spam decision, it is recommended to improve the decision weight by using email header data to ensure complete good service. For emails with no content, the weight method is applicable and effective and can improve the identification of spam emails with little content. The development of the Internet can solve the problem of spam increase, as the air filter system is more efficient than the traditional system. Therefore, this article conducts an in-depth study of spam detection of cloud computing based on content filtering and analysis of existing anti-spam tools