PPT-Early Detection of Spam Mobile Apps

Suranga Seneviratne Aruna Seneviratne Mohamed Ali Dali Kaafar Anirban Mahanti Prasant Mohapatra UNSW NICTA Australia. 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. 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. 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. . 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. 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. Norman Smith, SAIC. August 15, 2011. Introduction. Public Facing vs Enterprise Mobile Apps. The Enterprise Prospective. Lessons Learned. Getting Started. Summary. Background. We started exploring Cross-Platform Mobile apps as an IR&D project with a national non-profit organization. Dudee Chiang, Information Science Specialist. Alexander Smith, Information Science Specialist. Jet Propulsion Laboratory, California Institute of Technology. NASA IT Summit, August 15, 2011. Copyright 2011, California Institute of Technology. ICCM 2014. 83% of time on . smartphones. is spent using apps. 50% is spent on just games and . Facebook. Phone. Statistics. Smartphones. showed 20% growth in 2013. 30% of phone shipped globally are . 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 . Atliay. Betül . Delalic. Nijaz. PS Kryptographie und IT Sicherheit SS17. 1. INHALT. Definition . . Arten . Funktionsweise . T. echnische Voraussetzungen. . Auswirkungen . . Kosten . Rechtslage .