INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15
Detecting Spam Email With Machine Learning Optimized With Bio Inspired Metaheuristic Algorithms
Authors Name:
Manaal Ahmed Kabeer
, Manaal Ahmed Kabeer , P.Manisha , K.Prathibha
Unique Id:
IJSDR2207021
Published In:
Volume 7 Issue 7, July-2022
Abstract:
Electronic mail has eased communication methods for many organisations as well as individuals. This method is exploited for fraudulent gain by spammers through sending unsolicited emails. This article aims to present a method for detection of spam emails with machine learning algorithms that are optimized with bio-inspired methods. A literature review is carried to explore the efficient methods applied on different datasets to achieve good results. An extensive research was done to implement machine learning models using PSO and BAT. Multi-Layer Perceptron on seven different email datasets, along with feature extraction and pre-processing. The bio-inspired algorithms like Particle Swarm Optimization and Genetic Algorithm were implemented to optimize the performance of classifiers. Multinomial Naïve Bayes with Genetic Algorithm performed the best overall. The comparison of our results with other machine learning and bio-inspired models to show the best suitable model is also discussed.
Keywords:
Bio inspired algorithm, Particle Swarm Optimization algorithm BAT algorithm.
Cite Article:
"Detecting Spam Email With Machine Learning Optimized With Bio Inspired Metaheuristic Algorithms", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.7, Issue 7, page no.160 - 163, July-2022, Available :http://www.ijsdr.org/papers/IJSDR2207021.pdf
Downloads:
000337349
Publication Details:
Published Paper ID: IJSDR2207021
Registration ID:200880
Published In: Volume 7 Issue 7, July-2022
DOI (Digital Object Identifier):
Page No: 160 - 163
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631
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