PDF-Spam,DamnSpam,andStatisticsUsingstatisticalanalysistolocatespamwebpage

Author : pasty-toler | Published Date : 2016-03-10

020406080100120140160180200Number of host namesFigure1Distributionoflengthsofsymbolichostnamesstudy5wecrawled429millionHTMLpagesandrecordedthehyperlinkscontainedineachpageAspartofthesecondstudy8

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Spam,DamnSpam,andStatisticsUsingstatisticalanalysistolocatespamwebpage: Transcript


020406080100120140160180200Number of host namesFigure1Distributionoflengthsofsymbolichostnamesstudy5wecrawled429millionHTMLpagesandrecordedthehyperlinkscontainedineachpageAspartofthesecondstudy8. Filtering. Service. Kurt Thomas. , Chris Grier, Justin Ma,. Vern . Paxson. , Dawn Song. University of California, Berkeley. International Computer Science Institute. Motivation. Social Networks. (. Facebook, Twitter). Lydia Song, Lauren Steimle, . Xiaoxiao. . Xu. Outline. Introduction to Project . Pre-processing . Dimensionality Reduction. Brief discussion of different algorithms. K-nearest. D. ecision tree. Logistic regression. Fernando. Sanchez, . Zhenhai Duan. Florida State University. Yingfei. Dong. University of Hawaii. Problem Statement. Email header forgery. But to what degree and how well they do it?. Why this is important?. threat to Internet users. A collaborative approach. is needed to provide the best spam-mitigation solutions. and security protection. . The Challenge of Spam. Different stakeholders are taking different steps. Myle. . Ott. , . Yejin. . Choi,. . Claire. . Cardie. ,. . Jeffrey. . T.. . Hancock. Cornell. . University. Yu. . Huang. 1. What Does It Mean?. “Finding . Deceptive Opinion Spam. . by Any . . 1. Sai Koushik Haddunoori. Problem:. E-mail provides a perfect way to send . millions . of advertisements at no cost for the sender, and this unfortunate fact is nowadays extensively exploited by several . Suranga Seneviratne. . . ✪. , . Aruna. Seneviratne . . ✪. , . Mohamed Ali (Dali) . Kaafar. . . , . Anirban. . Mahanti. . . , . Prasant. . Mohapatra. . ★. UNSW. . NICTA. , Australia. rhetorical context?. SPAM . is a set of tools we’ll use to look at . rhetorical context . and make decisions about how to best communicate our ideas. .. S. ituation:. P. urpose:. A. udience:. M. ode:. Spam:. Spam is unsolicited or undesired electronic junk mail. Characteristics of spam are:. Mass . mailing to large number of recipients. Usually a commercial advertisement. Annoying but usually harmless unless coupled with a fraud based phishing scam . By . Vacha. Dave , . Saikat. . guha. and yin . zhang. Presenter: . Uddipan. . chatterjee. Key Ideas. Advertisement plays an important role in the promotion and sale of all products.. Click-spam is fraudulent process of getting the user to click on a link (leading to an ad) which they have no interest in.. threat to Internet users. A collaborative approach. is needed to provide the best spam-mitigation solutions. and security protection. . The Challenge of Spam. Different stakeholders are taking different steps. Spam is unsolicited . e. mail in the form of:. Commercial advertising. Phishing. Virus-generated . Spam. Scams. E.g. Nigerian Prince who has an inheritance he wishes to share. What is Bulk Email?. Bulk . Agenda. Next Generation Antispam Protection . Forefront Overview. Forefront Security for Exchange Server. Forefront Online Security for Exchange. Hybrid Software + Services Solution. Summary. Q&A. Amir . Houmansadr. CS660: Advanced Information Assurance. Spring 2015. Content may be borrowed from other resources. . See the last slide for acknowledgements!. Our Knowledge of Spam. What do we know about spam?.

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