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Youtube Spam Detection Framework Using Naïve Bayes And Logistic Regression

YouTube has become a popular social media among the users. Due to YouTube popularity, it became a platform for spammer to distribute spam through the comments on YouTube. This has become a concern because spam can lead to phishing attack which the target can be any user that click any malicious link...

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Main Authors: Mohd Foozy, Cik Feresa, Samsudin, Nur’Ain Maulat, Alias, Nabilah, Shamala, Palaniappan, Othman, Nur Fadzilah, Wan Din, Wan Isni Sofiah
Format: Article
Language:English
Published: Institute of Advanced Engineering and Science 2019
Online Access:http://eprints.utem.edu.my/id/eprint/24585/2/YOUTUBE%20SPAM%20DETECTION%20FRAMEWORK%20USING%20NAIVE%20BAYES%20AND%20LOGISTIC%20REGRESSION.PDF
http://eprints.utem.edu.my/id/eprint/24585/
http://ijeecs.iaescore.com/index.php/IJEECS/article/view/18468/12234#
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spelling my.utem.eprints.245852020-12-08T15:19:26Z http://eprints.utem.edu.my/id/eprint/24585/ Youtube Spam Detection Framework Using Naïve Bayes And Logistic Regression Mohd Foozy, Cik Feresa Samsudin, Nur’Ain Maulat Alias, Nabilah Shamala, Palaniappan Othman, Nur Fadzilah Wan Din, Wan Isni Sofiah YouTube has become a popular social media among the users. Due to YouTube popularity, it became a platform for spammer to distribute spam through the comments on YouTube. This has become a concern because spam can lead to phishing attack which the target can be any user that click any malicious link. Spam has its own features that can be analyzed and detected by classification. Hence, enhancement features are proposed to detect YouTube spam. In order to conduct the experiments, a YouTube Spam detection framework that consists of five (5) phases such as data collection, pre-processing, features selection and extraction, classification and detection were developed. This paper, proposed the YouTube detection framework, examined and validate each of the phases by using two types of data mining tool. The features are constructed from analysis by using data collected from YouTube Spam dataset by using Naïve Bayes and Logistic Regression and tested in two different data mining tools which is Weka and Rapid Miner. From the analysis, thirteen (13) features that had been tested on Weka and RapidMiner shows high accuracy, hence is being used throughout the experiment in this research. Result of Naïve Bayes and Logistic Regression run in Weka is slightly higher than RapidMiner. In addition, result of Naïve Bayes is higher than Logistic Regression with 87.21% and 85.29% respectively in Weka. While in RapidMiner there is slightly different of accuracy between Naïve Bayes and Logistic Regression 80.41% and 80.88%. But, precision of Naïve Bayes is higher than Logistic Regression. Institute of Advanced Engineering and Science 2019-06 Article PeerReviewed text en http://eprints.utem.edu.my/id/eprint/24585/2/YOUTUBE%20SPAM%20DETECTION%20FRAMEWORK%20USING%20NAIVE%20BAYES%20AND%20LOGISTIC%20REGRESSION.PDF Mohd Foozy, Cik Feresa and Samsudin, Nur’Ain Maulat and Alias, Nabilah and Shamala, Palaniappan and Othman, Nur Fadzilah and Wan Din, Wan Isni Sofiah (2019) Youtube Spam Detection Framework Using Naïve Bayes And Logistic Regression. Indonesian Journal of Electrical Engineering and Computer Science, 14 (3). pp. 1508-1517. ISSN 2502-4752 http://ijeecs.iaescore.com/index.php/IJEECS/article/view/18468/12234# 10.11591/ijeecs.v14.i3.pp1508-1517
institution Universiti Teknikal Malaysia Melaka
building UTEM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknikal Malaysia Melaka
content_source UTEM Institutional Repository
url_provider http://eprints.utem.edu.my/
language English
description YouTube has become a popular social media among the users. Due to YouTube popularity, it became a platform for spammer to distribute spam through the comments on YouTube. This has become a concern because spam can lead to phishing attack which the target can be any user that click any malicious link. Spam has its own features that can be analyzed and detected by classification. Hence, enhancement features are proposed to detect YouTube spam. In order to conduct the experiments, a YouTube Spam detection framework that consists of five (5) phases such as data collection, pre-processing, features selection and extraction, classification and detection were developed. This paper, proposed the YouTube detection framework, examined and validate each of the phases by using two types of data mining tool. The features are constructed from analysis by using data collected from YouTube Spam dataset by using Naïve Bayes and Logistic Regression and tested in two different data mining tools which is Weka and Rapid Miner. From the analysis, thirteen (13) features that had been tested on Weka and RapidMiner shows high accuracy, hence is being used throughout the experiment in this research. Result of Naïve Bayes and Logistic Regression run in Weka is slightly higher than RapidMiner. In addition, result of Naïve Bayes is higher than Logistic Regression with 87.21% and 85.29% respectively in Weka. While in RapidMiner there is slightly different of accuracy between Naïve Bayes and Logistic Regression 80.41% and 80.88%. But, precision of Naïve Bayes is higher than Logistic Regression.
format Article
author Mohd Foozy, Cik Feresa
Samsudin, Nur’Ain Maulat
Alias, Nabilah
Shamala, Palaniappan
Othman, Nur Fadzilah
Wan Din, Wan Isni Sofiah
spellingShingle Mohd Foozy, Cik Feresa
Samsudin, Nur’Ain Maulat
Alias, Nabilah
Shamala, Palaniappan
Othman, Nur Fadzilah
Wan Din, Wan Isni Sofiah
Youtube Spam Detection Framework Using Naïve Bayes And Logistic Regression
author_facet Mohd Foozy, Cik Feresa
Samsudin, Nur’Ain Maulat
Alias, Nabilah
Shamala, Palaniappan
Othman, Nur Fadzilah
Wan Din, Wan Isni Sofiah
author_sort Mohd Foozy, Cik Feresa
title Youtube Spam Detection Framework Using Naïve Bayes And Logistic Regression
title_short Youtube Spam Detection Framework Using Naïve Bayes And Logistic Regression
title_full Youtube Spam Detection Framework Using Naïve Bayes And Logistic Regression
title_fullStr Youtube Spam Detection Framework Using Naïve Bayes And Logistic Regression
title_full_unstemmed Youtube Spam Detection Framework Using Naïve Bayes And Logistic Regression
title_sort youtube spam detection framework using naïve bayes and logistic regression
publisher Institute of Advanced Engineering and Science
publishDate 2019
url http://eprints.utem.edu.my/id/eprint/24585/2/YOUTUBE%20SPAM%20DETECTION%20FRAMEWORK%20USING%20NAIVE%20BAYES%20AND%20LOGISTIC%20REGRESSION.PDF
http://eprints.utem.edu.my/id/eprint/24585/
http://ijeecs.iaescore.com/index.php/IJEECS/article/view/18468/12234#
_version_ 1687397249134362624
score 13.211869

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