SEADer: A Social Engineering Attack Detection Method Based on Natural Language Processing and Artificial Neural Networks

Author:

Lansley Merton,Polatidis Nikolaos,Kapetanakis Stelios

Publisher

Springer International Publishing

Cited by 7 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. Overview of Social Engineering Protection and Prevention Methods;Lecture Notes in Computer Science;2024

2. CSE-ARS: Deep Learning-Based Late Fusion of Multimodal Information for Chat-Based Social Engineering Attack Recognition;IEEE Access;2024

3. Social Engineering Attacks Detection Approach;2023 13th International Conference on Dependable Systems, Services and Technologies (DESSERT);2023-10-13

4. An Expert System for the Detection and Mitigation of Social Engineering Attacks (Sea) Using Machine Learning Algorithm;Advances in Intelligent Systems and Computing;2023

5. New Architecture of Transformer Networks for Generating Natural Dialogues;2022 Wave Electronics and its Application in Information and Telecommunication Systems (WECONF);2022-05-30

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