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dc.contributor.authorHayati, Pedram
dc.contributor.authorChai, Kevin
dc.contributor.authorPotdar, Vidyasagar
dc.contributor.authorTalevski, Alex
dc.contributor.editorJung-JinYang, MakotoYokoo, Takayuki Ito, Zhi Jin and Paul Scerri
dc.date.accessioned2017-01-30T11:32:29Z
dc.date.available2017-01-30T11:32:29Z
dc.date.created2010-03-30T20:02:21Z
dc.date.issued2009
dc.identifier.citationHayati, Pedram and Chai, Kevin and Potdar, Vidyasagar and Talevski, Alex. 2009. HoneySpam 2.0: profiling web spambot behaviour, in Jung-JinYang, MakotoYokoo, Takayuki Ito, Zhi Jin and Paul Scerri (ed), Principles of practice in multi-agent systems. pp. 335-344. Heidelberg: Springer.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/12738
dc.identifier.doi10.1007/978-3-642-11161-7_23
dc.description.abstract

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.

dc.publisherSpringer
dc.subjecthoneyspam
dc.subjectweb usage mining
dc.subjectspam detection
dc.subjectweb spambot
dc.subjectweb robot detection
dc.titleHoneySpam 2.0: profiling web spambot behaviour
dc.typeBook Chapter
dcterms.source.startPage335
dcterms.source.endPage344
dcterms.source.titlePrinciples of practice in multi-agent systems
dcterms.source.isbn9783642111600
dcterms.source.placeHeidelberg
dcterms.source.chapter52
curtin.note

The original publication is available at : http://www.springerlink.com

curtin.departmentDigital Ecosystems and Business Intelligence Institute (DEBII)
curtin.accessStatusFulltext not available
curtin.facultyCurtin Business School
curtin.facultyThe Digital Ecosystems and Business Intelligence Institute (DEBII)


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