An Online Malicious Spam Email Detection System Using Resource Allocating Network with Locality Sensitive Hashing

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ISSN Print: 2150-8402
ISSN Online: 2150-8410
www.scirp.org/journal/jilsa
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"An Online Malicious Spam Email Detection System Using Resource Allocating Network with Locality Sensitive Hashing"
written by Siti-Hajar-Aminah Ali, Seiichi Ozawa, Junji Nakazato, Tao Ban, Jumpei Shimamura,
published by Journal of Intelligent Learning Systems and Applications, Vol.7 No.2, 2015

has been cited by the following article(s):

[1]	A Survey on Locality Sensitive Hashing Algorithms and their Applications
	2021

[2]	Cyber security threats, challenges and defence mechanisms in cloud computing
	2020

[3]	Analysis and Evaluation of E-mail Security
	2018

[4]	An Efficient Spam Classification System Using Ensemble Machine Learning Algorithm
	JASC: Journal of Applied Science and Computations, 2018

[5]	一种具有迁移学习能力的 RBF-NN 算法及其应用
	2018

[6]	A Survey of Email Service; Attacks, Security Methods and Protocols
	International Journal of Computer Applications, 2017

[7]	An approach for Malicious Spam Detection In Email with comparison of different classifiers
	International Research Journal of Engineering and Technology, 2017

[8]	A Proposed Model for Malicious Spam Detection in Email Systems of Educational Institutes
	2016

[9]	Incremental learning for large-scale stream data and its application to cybersecurity
	2015

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[1]	A Dynamic Locality Sensitive Hashing Algorithm for Efficient Security Applications 2023 International Conference on Information Technology (ICIT), 2023 DOI:10.1109/ICIT58056.2023.10226046

[2]	A Proposed Model for Malicious Spam Detection in Email Systems of Educational Institutes 2016 Cybersecurity and Cyberforensics Conference (CCC), 2016 DOI:10.1109/CCC.2016.24