Exquisite Analysis of Popular Machine Learning–Based Phishing Detection Techniques for Cyber Systems-Reference-Cited by-同舟云学术

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Exquisite Analysis of Popular Machine Learning–Based Phishing Detection Techniques for Cyber Systems

Published:2020-09-11 Issue:4 Volume:16 Page:538-562
ISSN:1936-1610
Container-title:Journal of Applied Security Research
language:en
Short-container-title:Journal of Applied Security Research

Author:

Das Meenakshi¹,Saraswathi Sowmya¹,Panda Rashmi²,Mishra Alekha Kumar³,Tripathy Asis Kumar⁴

Affiliation:

1. School of Computer Science and Engineering, VIT Vellore, Vellore, India

2. Department of ECE, IIIT Ranchi, Ranchi, India

3. Department of Computer Applications, NIT Jamshedpur, Jamshedpur, India

4. School of IT and Engineering, VIT Vellore, Vellore, India

Publisher

Informa UK Limited

Subject

Law,Safety Research,Safety, Risk, Reliability and Quality,Education

Link

https://www.tandfonline.com/doi/pdf/10.1080/19361610.2020.1816440

Reference29 articles.

1. Teaching Johnny not to fall for phish

2. Afonso, J. A., Sousa, R. A., Ferreira, J. C., Monteiro, V., Pedrosa, D., Afonso, J. L. (2017). IoT system for anytime/anywhere monitoring and control of vehicles’ parameters [Paper presentation]. 2017 IEEE International Conference on Service Operations and Logistics, and Informatics (SOLI), September 2017, pp. 193–198.

3. Aydin, M., Baykal, N. (2015). Feature extraction and classification phishing websites based on url [Paper presentation]. Proceeding of IEEE Conference on Communications and Network Security (CNS), September pp. 769–770.

4. A Novel Forecastive Anomaly Based Botnet Revelation Framework for Competing Concerns in Internet of Things

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2. Phishing and Smishing Detection Using Machine Learning;2023 IEEE International Conference on Cyber Security and Resilience (CSR);2023-07-31

3. Characterizing Mobile Money Phishing Using Reinforcement Learning;IEEE Access;2023

4. Data Management Risks: A Bane of Construction Project Performance;Sustainability;2022-10-07

5. A Novel Logo Identification Technique for Logo-Based Phishing Detection in Cyber-Physical Systems;Future Internet;2022-08-15

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