An Effective Double-Layer Detection System Against Social Engineering Attacks-Reference-Cited by-同舟云学术

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An Effective Double-Layer Detection System Against Social Engineering Attacks

Published:2022-11 Issue:6 Volume:36 Page:92-98
ISSN:0890-8044
Container-title:IEEE Network
language:
Short-container-title:IEEE Network

Author:

He Daojing¹,Lv Xin¹,Xu Xueqian²,Yu Shui³,Li Dawei⁴,Chan Sammy⁵,Guizani Mohsen⁶

Affiliation:

1. Jiangxi University of Science and Technology,P.R. China

2. East China Normal University,P.R. China

3. University of Technology Sydney,Australia

4. Harbin Institute of Technology,P.R. China

5. City University of Hong Kong,China

6. Mohamed Bin Zayed University of Artificial Intelligence,UAE

Funder

National Key R&D Program of China

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Networks and Communications,Hardware and Architecture,Information Systems,Software

Link

http://xplorestaging.ieee.org/ielx7/65/10004590/09846946.pdf?arnumber=9846946

Reference15 articles.

1. A framework to mitigate social engineering through social media within the enterprise

2. Social engineering attack examples, templates and scenarios

4. A Session and Dialogue-Based Social Engineering Framework

5. Recurrent Neural Network Language Models for Open Vocabulary Event-Level Cyber Anomaly Detection;tuor;ArXiv Preprint,2017

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1. Demo: Blockchain Shield - Advanced Threat Detection & Forensic Analysis Platform;2024 IEEE 44th International Conference on Distributed Computing Systems (ICDCS);2024-07-23

2. A comprehensive survey on social engineering-based attacks on social networks;International Journal of ADVANCED AND APPLIED SCIENCES;2024-04

3. Internet-Based Social Engineering Psychology, Attacks, and Defenses: A Survey;Proceedings of the IEEE;2024-03

4. Phishing Email Detection Model Using Deep Learning;Electronics;2023-10-15

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