Communication, Networks and Security

Project Leader(s): 

Postdoctoral fellow: Dr. Hamid Usefim, Mathematics, University of Toronto

Lead faculty member: Dr. Kumar Murty, Mathematics, University of Toronto

Protecting copyright is one of the hottest topics in information and media technology at the moment. Digital technology enables perfect copying on amateur equipment. Digital Fingerprinting is an emerging technology to protect multimedia from unauthorized redistribution. It embeds a unique ID into each user's copy, which can be extracted to help identify culprits when an unauthorized leak is found. Thereby any emerging illegitimate copy can be traced back to the guilty party. A major challenge is to make this system secure against coalitions of pirates.

Project Leader(s): 

Postdoctoral fellow: Dr. Carlton Davis, Computer and Software Engineering, Ecole Polytechnique de Montréal

Lead faculty member: Dr. Jose Fernandez, Computer and Software Engineering, Ecole Polytechnique de Montréal

Botnets are networks consisting of computers that are infected with malicious codes (malware) and are consequently being remotely controlled by botnet operators. Botnets pose some of the most challenging security problems owing to their ubiquitousness, their size, their complexity, and the effectiveness with which they have been used to facilitate and perpetuate a wide range of cybercrimes.

Project Leader(s): 

Dr. Paul C. Van Oorschot , Carleton University

Project team: 
Dr. Marsha Chechik, University of Toronto
Dr. Scott Knight, Royal Military College of Canada
Dr. David Lie, University of Toronto
Dr. Anil Somayaji, Carleton University
Dr. Mohammad Zulkernine, Queen's University
Funding period: 
April 1, 2021 - March 31, 2021
Project Leader(s): 

Dr. Richard J. Nowakowski , (Dalhousie University)

Project team: 
Dr. Geňa Hahn (Université de Montréal)
Dr. Boting Yang (University of Regina)
Dr. Brian Alspach (University of Regina)
Dr. Nancy Clarke (Acadia University)
Dr. Petko Valtchev (Université de Montréal)
Non-academic participants: 
Funding period: 
April 1, 2021 - March 31, 2021

 
About twenty-five years ago a spelunker was lost in a Pennsylvania cave system. A mathematician at Pennsylvania State University was asked to help design an efficient search of the cave system. This mathematician happened to be a graph theorist and as a cave system may be modelled as a graph, it led him to introduce the general problem of searching graphs.

Project Leader(s): 

Dr. Alfred Menezes , University of Waterloo & Dr. Hugh Williams , University of Calgary

Project team: 
Dr. Mark Bauer, University of Calgary
Dr. Guang Gong, University of Waterloo
Dr. Michael Jacobsen, University of Calgary
Dr. Renate Scheidler, University of Calgary
Dr. Edlyn Teske, University of Waterloo
Dr. Scott Vanstone, University of Waterloo
Funding period: 
February 25, 2022 - March 31, 2021
Project Leader(s): 

Dr. John McHugh, Dalhousie University

Project team: 
Dr. William A. Aiello, University of British Columbia
Dr. José Fernandez, Simon Fraser University
Dr. Sudhakar Ganti, University of Victoria
Dr. Michael McAllister, Dalhousie Unversity
Dr. Michael L. McGuire, University of Victoria
Dr. Stephen Neville, University of Victoria
Dr. Alejandro Quintero, École Polytechnique de Montréal
Dr. Jean-Marc Robert, École de technologie superieure
Dr. Nur Zincir-Heywood, Dalhousie University
Non-academic participants: 
Funding period: 
April 1, 2021 - August 30, 2021
Project Leader(s): 

Dr. George Karakostas , (McMaster University)

Project team: 
Dr. Adrian Vetta (McGill University)
Dr. James A. Dimarogonas (MITRE Corporation)
Dr. F. Bruce Shepherd (Bell Laboratories)
Dr. Gordon Wilfong (Bell Laboratories)
Dr. Uyen Trang Nguyen (York University)
Non-academic participants: 
Funding period: 
October 1, 2021 - March 31, 2021

 
Game Theory studies the phenomena occurring when independent, autonomous entities, called agents or users, act selfishly; game theoretic techniques are now being used to model and analyze networks. This project aims to develop a more realistic modelling of communication and data networks of selfish users using game-theoretic models, study the effects that selfish behaviour has on the overall network performance, and the designs of networks which prevent the rapid degradation of the performance due to such behaviour.

Project Leader(s): 

Dr. Uwe Glässer, Simon Fraser University and Dr. Alexander Rutherford, Simon Fraser University

Project team: 
Dr. Peter Borwein, Simon Fraser University
Dr. Particia Brantingham, Simon Fraser University
Dr. Bryan Kinney, Simon Fraser University
Dr. Bojan Mamadanovic, Simon Fraser University
Dr. Alexa van der Waall, Simon Fraser University
Funding period: 
April 1, 2021 - March 31, 2021