Method for preventing collaboration type junk mail

Abstract

A cooperative spam prevention method mainly solves the existing e-mail security problem of Internet, relating to relevant technologies such as honeypot principle, spam filtering, and the like. The method applies distributed network structure, and comprises an e-mail server and a directory server. In the system structure, the e-mail server is the main body for filtering spam, and collects spam samples simultaneously. To improve the timeliness of sample collection, the characteristics of the collected samples are extracted and initial judgment (first level judgment) is carried out, and then 'possible spam' characteristics submitted to the directory server. The directory server carries out second filtering (second level judgment) to the received 'possible spam' characteristics, generates a spam filtering rule and stores the rule into a rule base, and then releases the updated rule to the local rule base of each e-mail server through a unified interface, thus realizing the sharing and updating of the filtering rules and achieving the purpose of cooperative spam prevention.

Description

technical field [0001] The invention is a related technology utilizing the honeypot principle and spam filtering, etc., and relates to the field of network security, especially email security. Background technique [0002] In recent years, new changes have taken place in the form and content of spam, and its harm is becoming more and more serious: it takes up a lot of network resources, reduces the operating efficiency of the network; wastes a lot of time of mail users; becomes a virus, Trojan horse and phishing The main transmission route of spam is a serious threat to network security; in addition, spam spreads bad information and has a serious negative impact on society. However, the existing spam filtering technology cannot cope with this situation well. It has become an urgent task in the field of network security to further improve the Internet's ability to resist the risk of spam and better meet users' needs for preventing spam. [0003] The spam filtering technolog...

AI Technical Summary

Problems solved by technology

First of all, there is a lack of collaboration. Because each mail server independently filters spam, lacks information exchange, and does not form a system, it cannot cooperate with each other to prevent spam on a large scale; secondly, the calculation complexity is high. In order to obtain filtering rules or spam features, a large number of samples must be trained, the sample content is extracted, and the filtering rules are also more complicated, resulting in higher computational complexity

Thirdly, due to the lack of real-time performance, the update cycle of filtering rules or spam features is long and the update speed is slow, so it is impossible to filter the latest spam, and there is lag; finally, there is a lack of adaptability, and the current form of spam on the Internet has undergone new changes. Spam with non-text content such as images appears

However, the existing content-based filtering methods are based on analyzing the text content of emails, so they cannot filter spam emails transmitted in the form of pictures, resulting in a large number of missed judgments in the system and reducing the filtering accuracy

Images