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DESCRIPTION:Speaker: Benjamin Fung- School of Information Studies\, McGill 
 University\n\nThe objective of this presentation is to provide an overview
  of the research work conducted in the Data Mining and Security (DMaS) Lab
  at McGill University. We will discuss three research topics.\n\n\n	Privacy
 -preserving data mining: Since data mining often involves person-specific 
 and sensitive information\, the public has acquired the negative impressio
 n that data mining is a tool for intrusion on their privacy. Privacy-prese
 rving data mining is a study of eliminating threats to privacy while prese
 rving useful information in the released data.\n	Authorship analysis: Given
  an anonyous e-mail or some tweets\, can we identify the author based on t
 he writing styles? I will give a demonstration on an authorship analysis t
 ool developed by DMaS.\n	Assembly code mining: Assembly code analysis is on
 e of the critical processes for mitigating the exponentially increasing th
 reats from malicious software. However\, it is a manually intensive and ti
 me-consuming process even for experienced reverse engineers. An effective 
 and efficient assembly code clone search engine can greatly reduce the eff
 ort of this process. We have implemented an award winning assembly clone s
 earch engine called Kam1n0. It is the first clone search engine that can e
 fficiently identify a given query assembly function's subgraph clones from
  a large assembly code repository. I will give a live demonstration of Kam
 1n0.\n\n\nDr. Benjamin Fung is a Canada Research Chair in Data Mining for 
 Cybersecurity\, an Associate Professor of Information Studies (SIS)\, an A
 ssociate Member of Computer Science (SoCS) at McGill University\, a Co-cur
 ator of Cybersecurity in the World Economic Forum (WEF)\, and a Research S
 cientist in the National Cyber-Forensics and Training Alliance Canada (NCF
 TA Canada). Collaborating closely with the national defense\, law enforcem
 ent\, transportation\, and healthcare sectors\, he has over 100 refereed p
 ublications that span across the research forums of data mining\, privacy 
 protection\, cyber forensics\, services computing\, and building engineeri
 ng. His data mining works in crime investigation and authorship analysis h
 ave been reported by media worldwide. Before joining McGill\, he was an As
 sistant/Associate Professor at Concordia University\, and a system softwar
 e developer at SAP Business Objects in Canada. Dr. Fung is a licensed prof
 essional engineer in software engineering. See his research website for mo
 re information.\n
DTSTART:20170127T193000Z
DTEND:20170127T203000Z
LOCATION:Room 012\, McConnell Engineering Building\, CA\, QC\, Montreal\, H
 3A 0E9\, 3480 rue University
SUMMARY:Talk: Data Mining for Privacy Protection
URL:https://www.mcgill.ca/datascience/channels/event/talk-data-mining-priva
 cy-protection-264337
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