A Constant Time Complexity Spam Detection Algorithm for Boosting Throughput on Rule-Based Filtering Systems

Author:

Xia TianORCID

Funder

Key Disciplines of Computer Science and Technology of Shanghai Polytechnic University

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Cited by 18 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Next-Generation Spam Filtering: Comparative Fine-Tuning of LLMs, NLPs, and CNN Models for Email Spam Classification;Electronics;2024-05-23

2. Scalable Learning Framework for Detecting New Types of Twitter Spam with Misuse and Anomaly Detection;Sensors;2024-04-02

3. A Comparison of Machine Learning Algorithms for Multilingual Phishing Detection;2023 20th Annual International Conference on Privacy, Security and Trust (PST);2023-08-21

4. Machine Learning Models for Email Spam Detection: A Review;2023 Second International Conference On Smart Technologies For Smart Nation (SmartTechCon);2023-08-18

5. Semantic Analysis and Classification of Emails through Informative Selection of Features and Ensemble AI Model;Proceedings of the 2023 Fifteenth International Conference on Contemporary Computing;2023-08-03

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