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20777807 Lprob 1.Pdf Inman Harvey · Ann Cavoukian George Tomko · Don Borrett Hon Kwan · Dimitrios Hatzinakos Editors SmartData Privacy Meets Evolutionary Robotics SmartData Inman Harvey • Ann Cavoukian George Tomko • Don Borrett Hon Kwan • Dimitrios Hatzinakos Editors SmartData Privacy Meets Evolutionary Robotics Editors Inman Harvey Ann Cavoukian School of Informatics Office of the Information University of Sussex and Privacy Commissioner of Ontario Brighton, UK Toronto, ON, Canada George Tomko Don Borrett Identity, Privacy and Security Initiative Department of Medicine University of Toronto University of Toronto Toronto, ON, Canada Toronto, ON, Canada Hon Kwan Dimitrios Hatzinakos Department of Neurophysiology Electrical and Computer Engineering University of Toronto University of Toronto Toronto, ON, Canada Toronto, ON, Canada ISBN 978-1-4614-6408-2 ISBN 978-1-4614-6409-9 (eBook) DOI 10.1007/978-1-4614-6409-9 Springer New York Heidelberg Dordrecht London Library of Congress Control Number: 2013932866 # Springer Science+Business Media New York 2013 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. Exempted from this legal reservation are brief excerpts in connection with reviews or scholarly analysis or material supplied specifically for the purpose of being entered and executed on a computer system, for exclusive use by the purchaser of the work. Duplication of this publication or parts thereof is permitted only under the provisions of the Copyright Law of the Publisher’s location, in its current version, and permission for use must always be obtained from Springer. Permissions for use may be obtained through RightsLink at the Copyright Clearance Center. Violations are liable to prosecution under the respective Copyright Law. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. While the advice and information in this book are believed to be true and accurate at the date of publication, neither the authors nor the editors nor the publisher can accept any legal responsibility for any errors or omissions that may be made. The publisher makes no warranty, express or implied, with respect to the material contained herein. Printed on acid-free paper Springer is part of Springer Science+Business Media (www.springer.com) Acknowledgements The Identity, Privacy, and Security Institute (IPSI) at the University of Toronto in association with the Information and Privacy Commissioner of Ontario, Canada, hosted an International Symposium on SmartData from May 14 to 16, 2012. Principal funding for the symposium and proceedings was provided by the University of Toronto’s Connaught Fund. v Contents 1 Privacy by Design and the Promise of SmartData .............. 1 Ann Cavoukian 2 SmartData: The Need, the Goal and the Challenge ............ 11 George Tomko 3 Perspectives on Artificial Intelligence: Three Ways to Be Smart ............................................ 27 Inman Harvey 4 Context Dependent Information Processing Entails Scale-Free Dynamics ................................... 39 Donald Borrett 5 Philosophy and SmartData: Do SmartData Need to Be Smart? Does It Matter? ............................. 47 Stephen Biggs 6 Relevance Realization and the Neurodynamics and Neuroconnectivity of General Intelligence ................ 57 John Vervaeke and Leonardo Ferraro 7 What Matters: Real Bodies and Virtual Worlds ............... 69 Michael Wheeler 8 The Development of Autonomous Virtual Agents .............. 81 Karl Friston 9 Patterns of Attractors in the “Brain”. Wild Dynamics at the Edge ........................................... 91 Enrique R. Pujals vii viii Contents 10 A Privacy-Enabled Mobile Computing Model Using Intelligent Cloud-Based Services ........................... 107 Edward R. Sykes, Huy Pham, Magdin Stoica, Khaled Mahmud, and Deborah Stacey 11 Unconstrain the Population: The Benefits of Horizontal Gene Transfer in Genetic Algorithms ....................... 117 Nicholas Tomko, Inman Harvey, and Andrew Philippides 12 A Robust System for Distributed Data Mining and Preserving-Privacy .................................. 129 El Sayed Mahmoud and David Calvert 13 A Distributed Mobile Application for Data Collection with Intelligent Agent Based Data Management Policy .......... 139 Marek Laskowski, Bryan C.P. Demianyk, and Robert D. McLeod 14 Security Risks Assessment Based on Intelligent Systems and Attack Graphs ..................................... 149 Masoud Mohammadian and Dimitrios Hatzinakos 15 An Adaptive Intelligent Fuzzy Logic Classifier for Data Security and Privacy in Large Databases .................... 161 Masoud Mohammadian and Dimitrios Hatzinakos 16 The Security Architecture Discipline as Catalyst to Effect Secure SmartData Design: Employing Abuse Case Elaboration for Attack Vector Discovery and Countermeasure Determination ........................ 173 Murray Rosenthal 17 Trust and Non-person Entities: SmartData as NPE Candidate ...................................... 187 Murray Rosenthal 18 Privacy-Enabled Mobile-Health (mHealth)-Based Diabetic Solution ....................................... 197 Sasan Adibi, Rozita Dara, Nilmini Wickramasinghe, Caroline Chan, and Soumitri Varadarajan Contributors Sasan Adibi RMIT University, Melbourne, VIC, Australia Stephen Biggs Iowa State University, Ames, IA, USA Donald Borrett Department of Medicine, University of Toronto, Toronto, ON, Canada David Calvert School of Computer Science, University of Guelph, Guelph, ON, Canada Ann Cavoukian Office of the Information and Privacy Commissioner of Ontario, Toronto, ON, Canada Caroline Chan RMIT University, Melbourne, VIC, Australia Rozita Dara Office of the Information and Privacy Commissioner of Ontario, Toronto, ON, Canada Bryan C.P. Demianyk University of Manitoba, Winnipeg, MB, Canada Leonardo Ferraro University of Toronto, Toronto, ON, Canada Karl Friston The Wellcome Trust Centre for Neuroimaging, University College London, London, UK Inman Harvey School of Informatics, University of Sussex, Brighton, UK Dimitrios Hatzinakos Bell Canada Chair in Multimedia, Department of Electrical and Computer Engineering, University of Toronto, Toronto, ON, Canada Marek Laskowski York University, Toronto, ON, Canada El Sayed Mahmoud School of Computer Science, University of Guelph, Guelph, ON, Canada Khaled Mahmud Faculty of Applied Science and Technology, Sheridan College, Oakville, ON, Canada ix x Contributors Robert D. McLeod University of Manitoba, Winnipeg, MB, Canada Masoud Mohammadian Faculty of Information Science and Engineering, University of Canberra, Canberra, ACT, Australia Huy Pham Faculty of Applied Science and Technology, Sheridan College, Oakville, ON, Canada Andrew Philippides University of Sussex, Brighton, UK Enrique R. Pujals IMPA-OS, Rio de Janeiro, Brazil Murray Rosenthal Information and Technology, City of Toronto, Toronto, ON, Canada Deborah Stacey College of Physical and Engineering Science and School of Computer Science, University of Guelph, Guelph, ON, Canada Magdin Stoica Faculty of Applied Science and Technology, Sheridan College, Oakville, ON, Canada Edward R. Sykes Faculty of Applied Science and Technology, Sheridan College, Oakville, ON, Canada George Tomko Identity, Privacy and Security Institute (IPSI), University of Toronto, Toronto, ON, Canada Nicholas Tomko University of Sussex, Brighton, UK Soumitri Varadarajan RMIT University, Melbourne, VIC, Australia John Vervaeke Cognitive Science, University of Toronto, Toronto, ON, Canada Michael Wheeler School of Arts and Humanities: Philosophy, University of Stirling, Stirling, UK Nilmini Wickramasinghe Epworth HealthCare, Richmond, VIC, Australia RMIT University, Melbourne, Victoria, Australia Chapter 1 Privacy by Design and the Promise of SmartData Ann Cavoukian Abstract Recent years have seen technology grow at a rate never before encountered. The expansion of new technologies into daily life has offered unprecedented opportunities. However, as we benefit from the many advantages presented to us, we must also grapple with never before known concerns. Many of these pertain to the protection of our personal information. In this paper, it is my goal to address how personal data may be safeguarded by using information technology—to our advantage, not the opposite. My practical PrivacybyDesign(PbD) framework advances the concept that privacy should be built into technology and business practice right from the outset—well before the security of an individual’s personal data could ever be put at risk. An extension of PbD—PbD 2.0—is the concept of SmartData.SmartData empowers an individual’s personal data to “protect itself” by using virtual cognitive agents, in a manner that is both contextual and responsive to each individual’s needs. As technological innovations continue to impact the security of our personal informa- tion, I believe it is critical that privacy-enhancing technologies, such as SmartData, be employed to neutralize the threats that jeopardize
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