PPT-Design and Evaluation of a Real-Time URL Spam

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. Zhenhai Duan. Department of Computer Science. Florida State University. Outline. Motivation and background. SPOT algorithm on detecting compromised machines. Performance evaluation . Summary. 2. Motivation. 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. Distortion of search results . by “spam farms” and “hijacked” links. (aka. search engine optimization). page to be. “. promoted. ”. . boosting. pages. (spam farm). Susceptibility to manipulation and lack of trust model . 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?. Author : Kirill . Levchenko. , Andreas . Pitsillidis. , . Neha. . Chachra. , Brandon Enright, . M’ark. . F’elegyh’azi. , Chris Grier, Tristan Halvorson, Chris . Kanich. , Christian . Kreibich. 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. Vacha Dave . +. , Saikat Guha. ★. and Yin Zhang *. . + . University of California, San Diego. . ★ . Microsoft Research . India. . * The University of Texas at Austin. . Internet Advertising Today. Authors. Abu Awal Md Shoeb, Dibya Mukhopadhyay, Shahid Al Noor, Alan Sprague, and Gary Warner. Dec 14, 2014, Harvard University. 1. Introduction. Why spam detection is important. Why it is difficult to detect. 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:. 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. Detecting and Characterizing Social Spam Campaigns Hongyu Gao , Jun Hu , Christo Wilson , Zhichun Li , Yan Chen and Ben Y. Zhao Northwestern University, US Northwestern / Huazhong Univ. Zhang . Yanbin. , SG17/Q5 Rapporteur. Geneva, Switzerland . March, 2016. M. ain Content. C. hapter 1. Introduction of Spam . C. hapter 2. The Objective and Mission for Q5. C. hapter 3. The Position of Specific Projects in Q5. Agenda. Next Generation Antispam Protection . Forefront Overview. Forefront Security for Exchange Server. Forefront Online Security for Exchange. Hybrid Software + Services Solution. Summary. Q&A. A Viral Marketing Story Suitable for Bedtime Written by Dr. O’Spam Illustrated by A. Spamality II Alone I sat there at my desk Wondering which way was best To teach the world of my new site A