Key Parameters in Identifying Cost of Spam 2.0
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This paper aims to provide an analytical view in estimating the cost of Spam 2.0. For this purpose, the authorsdefine the web spam lifecycle and its associated impact. We also enlisted 5 stakeholders and focused on defining 5 cost calculations using a large collection of references. The cost of web spam then can be calculated with the definition of 13 parameters. Detail explanations of the web spam cost impacts are given with regardsto the main four stakeholders: spammer, application provider, content provider and content consumer. Ongoing research in developing honey spam is also presented in this paper.
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Ridzuan, Farida; Potdar, Vidyasagar; Singh, Jaipal (2011)This paper presents an empirical research that identifies cost of Spam 2.0. This experiment is a part of ongoing research for identifying the cost of Spam 2.0 and focuses only on storage cost. The data is collected via a ...
Ridzuan, Farida; Potdar, Vidyasagar; Singh, Jaipal (2011)This paper presents an empirical research that identifies cost of Spam 2.0. This experiment is a part of ongoing research for identifying the cost of Spam 2.0 and focuses only on storage cost. The data is collected via ...
Hayati, P.; Firoozeh, N.; Potdar, Vidyasagar; Chai, K. (2012)Despite years of researcher’s contribution in the domain of spam filtering, the question as to how much money spammers can make has largely remained unanswered. The value of spam-marketing on the web can be determined by ...