A Multi-Classifier Based Prediction Model for Phishing Emails Detection Using Topic Modelling, Named Entity Recognition and Image Processing

Circuits and Systems

ISSN Print: 2153-1285
ISSN Online: 2153-1293
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"A Multi-Classifier Based Prediction Model for Phishing Emails Detection Using Topic Modelling, Named Entity Recognition and Image Processing"
written by C. Emilin Shyni, S. Sarju, S. Swamynathan,
published by Circuits and Systems, Vol.7 No.9, 2016

has been cited by the following article(s):

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[6]	Email & Fraud Protection con tecnologie open source= Email & Fraud Protection with open source technologies
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[7]	Lumen: a machine learning framework to expose influence cues in texts
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[8]	Detection of Phishing Website Using Intelligent Machine Learning Classifiers
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[9]	A systematic literature review on phishing email detection using natural language processing techniques
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[10]	A systematic literature review on phishing email detection using natural
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[11]	Addressing Cyber Deception and Abuse from a Human Factors Perspective
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[12]	HTIE: A Hierarchical Task Identification Framework for E-mails
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[13]	Lumen: A Machine Learning Framework to Expose Influence Cues in Text
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[14]	TREND ANALYSIS IN AI RESEARCH OVER TIME USING NLP TECHNIQUES
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[15]	Detekcia foriem sociálneho inžinierstva v emailovej komunikácii
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[16]	Phishing Detection in E-mails using Machine Learning
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[17]	Detekce phishingových emailů s využitím rozpoznávání pojmenovaných entit
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[1]	Artificial Intelligence, Data Science and Applications Lecture Notes in Networks and Systems, 2024 DOI:10.1007/978-3-031-48573-2_35

[2]	Soft Computing and Signal Processing Smart Innovation, Systems and Technologies, 2023 DOI:10.1007/978-981-19-8669-7_3

[3]	A Systematic Literature Review on Phishing Email Detection Using Natural Language Processing Techniques IEEE Access, 2022 DOI:10.1109/ACCESS.2022.3183083

[4]	A Systematic Literature Review on Phishing Email Detection Using Natural Language Processing Techniques IEEE Access, 2022 DOI:10.1109/ACCESS.2022.3183083

[5]	Lumen: A machine learning framework to expose influence cues in texts Frontiers in Computer Science, 2022 DOI:10.3389/fcomp.2022.929515

[6]	Phishing Detection in E-mails using Machine Learning 2022 2nd International Conference on Technological Advancements in Computational Sciences (ICTACS), 2022 DOI:10.1109/ICTACS56270.2022.9987839

[7]	Phishing Detection in E-mails using Machine Learning 2022 2nd International Conference on Technological Advancements in Computational Sciences (ICTACS), 2022 DOI:10.1109/ICTACS56270.2022.9987839

[8]	HTIE: A Hierarchical Task Identification Framework for E-mails 2021 IEEE Seventh International Conference on Big Data Computing Service and Applications (BigDataService), 2021 DOI:10.1109/BigDataService52369.2021.00015

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