Open Access
Issue |
E3S Web Conf.
Volume 399, 2023
International Conference on Newer Engineering Concepts and Technology (ICONNECT-2023)
|
|
---|---|---|
Article Number | 04025 | |
Number of page(s) | 9 | |
Section | Computer Science | |
DOI | https://doi.org/10.1051/e3sconf/202339904025 | |
Published online | 12 July 2023 |
- AndoohginShahri Mona, Mohammad DavarpanahJazi, Glenn Borchardt, and Mehdi Dadkhah. 2018. “Detecting Hijacked Journals by Using Classification Algorithms.” Science and Engineering Ethics 24 (2): 655–668. [PubMed] [Google Scholar]
- Aydogan Murat, and Ali Karci. 2018. “Spam Mail Detection Using Naive Bayes Method with Apache Spark.” 2018 International Conference on Artificial Intelligence and Data Processing (IDAP). https://doi.org/10.1109/idap.2018.8620737. [Google Scholar]
- Baktir Nuriye, and Yilmaz Atay. 2022. “Comparative Analysis of Machine Learning Approaches in the Spam-Mail Classification Problem.” Bílícím Teknolojileri Dergisi. https://doi.org/10.17671/gazibtd.1014764. [Google Scholar]
- Bredenberg, Al. 2010. “E-Mail: Spam.” Encyclopedia of Information Assurance. https://doi.org/10.1081/e-eia-120046363. [Google Scholar]
- Dong Cailing, and Bin Zhou. 2018. “Spam Detection: E-mail/Social Network.” Encyclopedia of Social Network Analysis and Mining. https://doi.org/10.1007/978-1-4939-7131-2_294. [Google Scholar]
- Egan, Michael. 2004. Email Etiquette. New Line Publishing. [Google Scholar]
- Goldberg, Yoav. 2017. Neural Network Methods in Natural Language Processing. Morgan & Claypool Publishers. [CrossRef] [Google Scholar]
- Hulten, G., J. Goodman, and R. Rounthwaite. 2004. “Filtering Spam E-Mail on a Global Scale.” Proceedings of the 13th International World Wide Web Conference on Alternate Track Papers & Posters - WWW Alt. ’04. https://doi.org/10.1145/1013367.1013478. [Google Scholar]
- Isik Sahin, Zuhal Kurt, Yildiray Anagun, and Kemal Ozkan. 2020. “Spam E-Mail Classification Recurrent Neural Networks for Spam E-Mail Classification on an Agglutinative Language.” International Journal of Intelligent Systems and Applications in Engineering. https://doi.org/10.18201/ijisae.2020466316. [Google Scholar]
- Karim Ahmad, Rosli Salleh, and Muhammad Khurram Khan. 2016. “SMARTbot: A Behavioral Analysis Framework Augmented with Machine Learning to Identify Mobile Botnet Applications.” PloS One 11 (3): e0150077. [CrossRef] [PubMed] [Google Scholar]
- Lagrana, Fernando. 2016. E-Mail and Behavioral Changes: Uses and Misuses of Electronic Communications. John Wiley & Sons. [CrossRef] [Google Scholar]
- Lai Wei-Ru, Che-Hui Liao, Chang-Ching Lu, and Ming-Kuan Liao. 2008. “A Prediction Mechanism of Mail Retrieval Based on the User Behavior Analysis for Electronic Mail Database System.” 2008 Eighth International Conference on Intelligent Systems Design and Applications. https://doi.org/10.1109/isda.2008.348. [Google Scholar]
- Montgomery, Mike. 2011. “Spam Score in the Mail Mascot.” SciVee. https://doi.org/10.4016/28543.01. [Google Scholar]
- Parasuraman, A. 1982. “More on the Prediction of Mail Survey Response Rates.” Journal of Marketing Research. https://doi.org/10.2307/3151626. [Google Scholar]
- Rajalingam, Mallikka. 2020. Text Segmentation and Recognition for Enhanced Image Spam Detection: An Integrated Approach. Springer Nature. [Google Scholar]
- Rost Burkhard, Chris Sander, and Reinhard Schneider. 1994. “PHD-an Automatic Mail Server for Protein Secondary Structure Prediction.” Bioinformatics. https://doi.org/10.1093/bioinformatics/10.1.53. [Google Scholar]
- Schrödel, Tobias. 2011. “E-Mail Und SPAM.” Hacking Für Manager. https://doi.org/10.1007/978-3-8349-6475-5_7. [CrossRef] [Google Scholar]
- Szyman Pawel, and Dariusz Barbucha. 2022. “Link Prediction in Organizational Social Network Based on E-Mail Communication.” Procedia Computer Science. https://doi.org/10.1016/j.procs.2022.09.463. [Google Scholar]
- Takahashi Kenichi, Akihiro Sakai, and Kouichi Sakurai. 2010. “Spam Mail Blocking in Mailing Lists.” Multimedia. https://doi.org/10.5772/7628. [Google Scholar]
- Takesue, Masaru. 2010. “Cascaded Simple Filters for Accurate and Lightweight Email-Spam Detection.” 2010 Fourth International Conference on Emerging Security Information, Systems and Technologies. https://doi.org/10.1109/securware.2010.34. [Google Scholar]
- Volkov, M. V., and State University of Telecommunications. 2022. “Application of Bayesian E-Mail Filtering to Detect Spam.” Modern Information Security. https://doi.org/10.31673/2409-7292.2022.034854. [Google Scholar]
- Yadav Nikhil, and Kajal Srivastava. 2020. “Student Performance Prediction from E-Mail Assessments Using Tiny Neural Networks.” 2020 IEEE Integrated STEM Education Conference (ISEC). https://doi.org/10.1109/isec49744.2020.9397817. [Google Scholar]
- Yang, Zhen, L.A.I. Ying-Xu, Li-Juan Duan, and L.I. Yu-Jian. 2012. “Spam Collaborative Filtering in Enron E-Mail Network.” Acta Automatica Sinica. https://doi.org/10.3724/sp.j.1004.2012.00399. [Google Scholar]
- Yu, Szde. 2020. “Crime Hidden in Email Spam.” Encyclopedia of Criminal Activities and the Deep Web. https://doi.org/10.4018/978-1-5225-9715-5.ch057. [Google Scholar]
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