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HoneySpam 2.0: Profiling Web Spambot Behaviour

HoneySpam 2.0: Profiling Web Spambot Behaviour,10.1007/978-3-642-11161-7_23,Pedram Hayati,Kevin Chai,Vidyasagar Potdar,Alex Talevski

HoneySpam 2.0: Profiling Web Spambot Behaviour   (Citations: 7)
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Internet bots have been widely used for various beneficial and malicious activities on the web. In this paper we provide new insights into a new kind of bot termed as web spambot which is primarily used for spreading spam content on the web. To gain insights into web spambots, we developed a tool (HoneySpam 2.0) to track their behaviour. This paper presents two main contributions, firstly it describes the design of HoneySpam 2.0 and secondly we outline the experimental results that characterise web spambot behaviour. By profiling web spambots, we provide the foundation for identifying such bots and preventing and filtering web spam content.
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    • ...It is quite often seen that when you search for a particular keyword, you are taken to a website which does not relate to what you are looking for, but instead it is an advertizing page designed by spammer [36]...

    Vidyasagar Potdaret al. Spam 2.0: The Problem Ahead

    • ... it can be automatically distributed to as many Web 2.0 sites as possible through the use of automate agents [8]...
    • ...Another automated but more sophisticated technique in spam 2.0 is web robots called Web spambots which is type of web robot [8]...
    • ...They can target one specific web 2.0 application like Wikis as well as focus on one particular website such as MySpace [8]...

    Pedram Hayatiet al. Definition of spam 2.0: New spamming boom

    • ...An example of such a tool is a Web spambot (simply spambot), which is a type of web robot designed to spread spam content on behalf of spammers [3]...
    • ...focusing on spam content classification rather than spambot detection [1, 3]. The formal definition of the spambot detection problem is discussed in following section...
    • ...The spambot data used for our experiment is collected from our previous work [3] over a period of 60 days...

    Pedram Hayatiet al. Web Spambot Detection Based on Web Navigation Behaviour

    • ...to spread spam content in Web 2.0 platforms [4]...
    • ...The study performed in this paper continues from our previous work on spambot detection [4] and presents a new method to detect spambot based on web usage navigation behaviour...
    • ...We collected our spambot data from our previous work [4] over a period of a month...
    • ...In our previous work on HoneySpam 2.0 [4], we propose a web tracking system to track spambot data...
    • ...To the best of our knowledge, our research from [4] and this paper is the first work focused on spambot detection while conventional research has been focused on spam content detection...

    Pedram Hayatiet al. Behaviour-Based Web Spambot Detection by Utilising Action Time and Act...

    • ...Hence, using behavior analysis along with content based analysis might provide a better solution [21]...

    Farida Ridzuanet al. Factors Involved in Estimating Cost of Email Spam

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