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Spambot Detection: A Review of Techniques and Trends

by I. A. Adegbola, R. G. Jimoh
International Journal of Applied Information Systems
Foundation of Computer Science (FCS), NY, USA
Volume 6 - Number 9
Year of Publication: 2014
Authors: I. A. Adegbola, R. G. Jimoh
10.5120/ijais14-451115

I. A. Adegbola, R. G. Jimoh . Spambot Detection: A Review of Techniques and Trends. International Journal of Applied Information Systems. 6, 9 ( March 2014), 7-10. DOI=10.5120/ijais14-451115

@article{ 10.5120/ijais14-451115,
author = { I. A. Adegbola, R. G. Jimoh },
title = { Spambot Detection: A Review of Techniques and Trends },
journal = { International Journal of Applied Information Systems },
issue_date = { March 2014 },
volume = { 6 },
number = { 9 },
month = { March },
year = { 2014 },
issn = { 2249-0868 },
pages = { 7-10 },
numpages = {9},
url = { https://www.ijais.org/archives/volume6/number9/603-1115/ },
doi = { 10.5120/ijais14-451115 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2023-07-05T18:53:10.688949+05:30
%A I. A. Adegbola
%A R. G. Jimoh
%T Spambot Detection: A Review of Techniques and Trends
%J International Journal of Applied Information Systems
%@ 2249-0868
%V 6
%N 9
%P 7-10
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Spambot is a new way of creating and spreading spam using a robot in web 2. 0 environment. Application such as blogs, face book, twitter and various form of social networking provides an enabling environment for spammers to deploy an intelligent program capable of imitating human behaviour to spread unsolicited message like spyware or malware and even content that can be use to perpetrate unwholesome act . This paper seems to harvest all past and current technique used in identification and detection of this type of spam and examine the trend in this type of spamming activities to suggest a research area for the researchers into spam management and detection.

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Index Terms

Computer Science
Information Sciences

Keywords

Antispam Spambot Detection Behaviour web 2.0 browser Trend