PPT-Economics of Malware: Spam

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. 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. Alan Lee. NTT MSC. Background. Working group of the ISF. TIME, Maxis, Jaring, NTT MSC. Need for collaboration among the IASP at National level. To Combat Spam. Objectives. To establish a national anti-spam efforts. 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. 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?. 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. Myle. . Ott. , . Yejin. . Choi,. . Claire. . Cardie. ,. . Jeffrey. . T.. . Hancock. Cornell. . University. Yu. . Huang. 1. What Does It Mean?. “Finding . Deceptive Opinion Spam. . by Any . 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. 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. 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 . 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 . 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.