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Unfortunately, spammers have begun to use bots to control large collections of compromised Web mail accounts not just to send spam, but also to vote "not spam" on incoming spam emails in an attempt to ... Web mail providers rely on users to "vote" to quickly and collaboratively identify spam messages. ... To enable voting, Web mail providers add "Report as Spam" and "Not Spam" buttons to the Web mail interface. ...doi:10.1145/2030376.2030401 dblp:conf/ceas/RamachandranDFW11 fatcat:3j66xkecdzhrlefbtdvn7jnnda
Like web spam has been a major threat to almost every aspect of the current World Wide Web, similarly social spam especially in information diffusion has led a serious threat to the utilities of online ... Exhaustive experiments clearly reveal the variation in topics shared by the spam and nonspam tweets. ... HSpam14 dataset only provides the tweet IDs and their label as spam or not spam. ...doi:10.35940/ijitee.i7898.1081219 fatcat:xcutdknltnhdjnnporjtqq664a
This article proposes a new Spam Detection System (SDS) framework, by using a series of six different variants of enhanced Grasshopper Optimization Algorithm (EGOAs), which are investigated and combined ... A significant negative impact of spam e-mail is not limited only to the serious waste of resources, time, and efforts, but also increases communications overload and cybercrime. ... this study have a class for each set of features, in which the class is either not spam or spam email. ...doi:10.1109/access.2021.3105914 fatcat:5eyolpsovrbevf6kq7ko3xoc6i
Based on our measurement studies, we show how we can develop detection tools and leverage registration policies to reduce typosquatting and other abusive domain registrations.Supporting our assertions ... To gain a deeper understanding of the advertisement infrastructure redirecting users to malicious landing pages, we build a system that can emulate different types of users, can understand cloaking and ... One researcher analyzed the emails to decide whether they are spam emails or not. In total, the researcher labeled 77 emails and found that 80% of them were not spam emails. ...doi:10.1184/r1/12766136 fatcat:fvwkfbhnsjbwdnlonkk77nwsua
., email filtering or drug classification/molecular modeling) new questions arise. ... The sheer volume of data today and its expected growth over the next years are some of the key challenges in data mining and knowledge discovery applications. ... As mentioned in Section 5.1.1, the problem of filtering spam is a binary classification problem in the sense that every incoming email has to be classified as "spam" or not spam ("ham"). ...doi:10.25365/thesis.8205 fatcat:dkffw7cjhvah3ahy3z5fanoine