Effective spam filter based on a hybrid method of header checking and content parsing

Author:

Chu Ko‐Tsung1,Hsu Hua‐Ting2,Sheu Jyh‐Jian3,Yang Wei‐Pang2,Lee Cheng‐Chi45

Affiliation:

1. Department of FinanceMinghsin University of Science and TechnologyHsinchu30401Taiwan

2. Department of Information ManagementNational Dong Hwa UniversityHualien97401Taiwan

3. College of CommunicationNational Chengchi UniversityTaipei11605Taiwan

4. Department of Library and Information Science, Research and Development Center for Physical Education, Health, and Information TechnologyFu Jen Catholic UniversityNew Taipei City24205Taiwan

5. Department of Photonics and Communication EngineeringAsia UniversityTaichung413Taiwan

Publisher

Institution of Engineering and Technology (IET)

Subject

Control and Optimization,Management Science and Operations Research,Computer Networks and Communications

Reference55 articles.

1. NahorneyB.: ‘Symantec Intelligence Report: May 2014’ Symantec 2014

2. The Economics of Spam

3. Measuring the Cost of Cybercrime

4. MartinezC.ThorpeC.: ‘Analysis of spam: honeypot experiment’.European Conf. on Cyber Warfare and Security 2017 pp.692–701

5. CookD.HartnettJ.MandersonK.et al.: ‘Catching spam before it arrives: domain specific dynamic blacklists’.Proc. 2006 Australasian Workshops on Grid Computing and E‐Research Hobart Tasmania Australia 2006 vol. 54 pp.193–203

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1. Design of Computer Complex Spam Filtering System Based on Machine Learning Algorithm;2023 5th International Conference on Applied Machine Learning (ICAML);2023-07-21

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