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. 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). (Machine Learning). COS 116, Spring . 2012. Adam Finkelstein. Artificial Intelligence. Definition of AI (Merriam-Webster). :. The capability of a machine to imitate intelligent human . behavior. Branch . A social initiative against mobile spam. Problem. Mobile revolution in India led to sharp decline in cost of SMS/Call. It makes sense to advertise on mobile.. Spam SMS and calls.. Gross infringement of customer’s privacy.. 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 . Author : Kirill . Levchenko. , Andreas . Pitsillidis. , . Neha. . Chachra. , Brandon Enright, . M’ark. . F’elegyh’azi. , Chris Grier, Tristan Halvorson, Chris . Kanich. , Christian . Kreibich. Almaty, Kazakhstan. 27 September, 2016. OSCE Framework on Countering VERLT. 2001 Bucharest Plan of Action. 2007 Ministerial Statement in Support to the Implementation of UN Global Counter Terrorism Strategy. 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 . 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 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 . 100 billion spam email per day. Easy to setup spam networks. Low cost of operation. Millions of dollars worth of time and . equipment to combat spam. Techniques used to combat spam. header tests. address whitelist/blacklist. Atliay. Betül . Delalic. Nijaz. PS Kryptographie und IT Sicherheit SS17. 1. INHALT. Definition . . Arten . Funktionsweise . T. echnische Voraussetzungen. . Auswirkungen . . Kosten . Rechtslage . 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?.