Detecting computer generated images for image spam filtering

Image spam continues to be one of cyber security problem today. Spammers used image spam as a technique to by-pass conventional email filters. Anti-Spammers used image classification as a method to detect images spam by extracting different features of the image. One of the important features used i...

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Bibliographic Details
Main Authors:	Muataz Hazza, Zubaidah, Abdul Aziz, Normaziah
Format:	Conference or Workshop Item
Language:	English
Published:	2012
Subjects:	T Technology (General)
Online Access:	http://irep.iium.edu.my/38377/ http://irep.iium.edu.my/38377/ http://irep.iium.edu.my/38377/1/Detecting_Computer_Generated_Images_for_Image_Spam_Filtering.pdf

id	iium-38377
recordtype	eprints
spelling	iium-383772014-09-23T06:58:24Z http://irep.iium.edu.my/38377/ Detecting computer generated images for image spam filtering Muataz Hazza, Zubaidah Abdul Aziz, Normaziah T Technology (General) Image spam continues to be one of cyber security problem today. Spammers used image spam as a technique to by-pass conventional email filters. Anti-Spammers used image classification as a method to detect images spam by extracting different features of the image. One of the important features used is color features. Several works used different color analysis to differentiate image spam, most of these works used supervised methods trying to differentiate computer generated images which is mostly like to be a spam and natural images. Supervised methods have its weaknesses, such as high cost in computation, requires training data, and rapid changes in spammers behaviors. This paper develops an unsupervised method using HSL geometric model (Hue, Saturation, and Luminance) to distinguish computer generated (CG) and natural images. Rules and Heuristics are defined by using HSL variables. The proposed method mainly depends on Saturation and Lightness values and their histograms. Experiment results shows that the combination of these variables can give high classification accuracy results. 2012 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/38377/1/Detecting_Computer_Generated_Images_for_Image_Spam_Filtering.pdf Muataz Hazza, Zubaidah and Abdul Aziz, Normaziah (2012) Detecting computer generated images for image spam filtering. In: 2012 International Conference on Advanced Computer Science Applications and Technologies, 26-28 Nov. 2012, Kuala Lumpur. http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6516372&tag=1
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English
topic	T Technology (General)
spellingShingle	T Technology (General) Muataz Hazza, Zubaidah Abdul Aziz, Normaziah Detecting computer generated images for image spam filtering
description	Image spam continues to be one of cyber security problem today. Spammers used image spam as a technique to by-pass conventional email filters. Anti-Spammers used image classification as a method to detect images spam by extracting different features of the image. One of the important features used is color features. Several works used different color analysis to differentiate image spam, most of these works used supervised methods trying to differentiate computer generated images which is mostly like to be a spam and natural images. Supervised methods have its weaknesses, such as high cost in computation, requires training data, and rapid changes in spammers behaviors. This paper develops an unsupervised method using HSL geometric model (Hue, Saturation, and Luminance) to distinguish computer generated (CG) and natural images. Rules and Heuristics are defined by using HSL variables. The proposed method mainly depends on Saturation and Lightness values and their histograms. Experiment results shows that the combination of these variables can give high classification accuracy results.
format	Conference or Workshop Item
author	Muataz Hazza, Zubaidah Abdul Aziz, Normaziah
author_facet	Muataz Hazza, Zubaidah Abdul Aziz, Normaziah
author_sort	Muataz Hazza, Zubaidah
title	Detecting computer generated images for image spam filtering
title_short	Detecting computer generated images for image spam filtering
title_full	Detecting computer generated images for image spam filtering
title_fullStr	Detecting computer generated images for image spam filtering
title_full_unstemmed	Detecting computer generated images for image spam filtering
title_sort	detecting computer generated images for image spam filtering
publishDate	2012
url	http://irep.iium.edu.my/38377/ http://irep.iium.edu.my/38377/ http://irep.iium.edu.my/38377/1/Detecting_Computer_Generated_Images_for_Image_Spam_Filtering.pdf
first_indexed	2023-09-18T20:55:08Z
last_indexed	2023-09-18T20:55:08Z
_version_	1777410253082591232

Detecting computer generated images for image spam filtering

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