A New Anti-Spam Model Based on E-mail Address Concealment Technique  

A New Anti-Spam Model Based on E-mail Address Concealment Technique

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作  者:ZHANG Yuqiang HE Jingsha XU Jing 

机构地区:[1]Beijing Institute of Aerospace Control Devices, Beijing100039, China [2]College of Computer Science and Technology, Beijing University of Technology, Beijing 100124, China [3]School of Software Engineering, Beijing University ofTechnology, Beijing 100124, China [4]Department of Automation, Tsinghua University, Beijing100084, China

出  处:《Wuhan University Journal of Natural Sciences》2018年第1期79-83,共5页武汉大学学报(自然科学英文版)

基  金:Supported by National Natural Science Foundation of China(U1736116,61272500,60373075);the National High-Tech R&D Program(863 Program)(2015AA017204)

摘  要:To deal with the junk e-mail problem caused by the e-mail address leakage for a majority of Internet users, this paper presents a new privacy protection model in which the e-mail address of the user is treated as a piece of privacy information concealed. Through an interaction pattern that involves three parties and uses an e-mail address code in the place of an e-mail address, the proposed model can prevent the e-mail address from being leaked, thus effectively resolving the junk e-mail problem. We compare the proposed anti-spam method with the filtering technology based on machine learning. The result shows that 100% spams can be filtered out in our scheme, indicating the effectiveness of the proposed anti-spam method.To deal with the junk e-mail problem caused by the e-mail address leakage for a majority of Internet users, this paper presents a new privacy protection model in which the e-mail address of the user is treated as a piece of privacy information concealed. Through an interaction pattern that involves three parties and uses an e-mail address code in the place of an e-mail address, the proposed model can prevent the e-mail address from being leaked, thus effectively resolving the junk e-mail problem. We compare the proposed anti-spam method with the filtering technology based on machine learning. The result shows that 100% spams can be filtered out in our scheme, indicating the effectiveness of the proposed anti-spam method.

关 键 词:spare e-mail address protection model e-mail address code 

分 类 号:TP393[自动化与计算机技术—计算机应用技术]

 

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