PPT-Machine Learning for Spam Filtering

1 Sai Koushik Haddunoori Problem Email 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 . Xiaoxiao. . Xu. , and Dr. Arye Nehorai. Department of Electrical and Systems Engineering, Washington University in St. Louis. Email . has become one of the most important forms of communication. In 2013, there were about 180 billion emails sent per day worldwide and 65% of the emails sent were spam emails. Links in spam emails may lead to users to websites with malware or phishing schemes. Therefore, an effective spam filtering technology is a significant contribution to the sustainability of the cyberspace and to our society.. 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.. 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. 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. Misstear. Spam Filtering. An Artificial Intelligence Showcase. What is Spam. Messages sent indiscriminately to a large number of recipients. We all hate it. Term attributed to a Monty Python skit. Legitimate messages sometimes referred to as “ham. 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. 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:. 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.. 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. Atliay. Betül . Delalic. Nijaz. PS Kryptographie und IT Sicherheit SS17. 1. INHALT. Definition . . Arten . Funktionsweise . T. echnische Voraussetzungen. . Auswirkungen . . Kosten . Rechtslage .