PPT-Countering Spam by Technical Means

Zhang Yanbin SG17Q5 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. CJ341 – Cyberlaw & Cybercrime. Lecture . #8. M. E. Kabay, PhD, CISSP-ISSMP. D. J. Blythe, JD. School of Business & Management. Topics. Cyberstalking. Jane Hitchcock. Choosing Victims. Targeting Victims. 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. Hongyu. . Gao. , . Yan . Chen, Kathy Lee, Diana . Palsetia. . and . Alok. . Choudhary. Lab for Internet and Security Technology (LIST). Department of EECS. Northwestern University. Background. 2. Background. 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 . 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 . Ethan Grefe. December . 13, . 2013. Motivation. Spam email . is constantly cluttering inboxes. Commonly removed using rule based filters. Spam often has . very similar characteristics . This allows . Vacha Dave . +. , Saikat Guha. ★. and Yin Zhang *. . + . University of California, San Diego. . ★ . Microsoft Research . India. . * The University of Texas at Austin. . Internet Advertising Today. 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.. The University of Texas at Arlington. BRIBERY. ABOUT BRIBERY . MORE ABOUT BRIBERY. CONSENSUS ON BRIBERY?. BRIBERY. THE FOREIGN CORRUPT PRACTICES ACT . BUSINESS PRINCIPLES FOR COUNTERING BRIBERY. BUSINESS PRINCIPLES FOR COUNTERING BRIBERY. 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. Atliay. Betül . Delalic. Nijaz. PS Kryptographie und IT Sicherheit SS17. 1. INHALT. Definition . . Arten . Funktionsweise . T. echnische Voraussetzungen. . Auswirkungen . . Kosten . Rechtslage .