SmartData

Privacy Meets Evolutionary Robotics
2013
ISBN: 978-1-4899-9802-6
Verlag: Springer

Buch, Englisch, 214 Seiten, Paperback, Format (B × H): 155 mm x 235 mm, Gewicht: 347 g

SmartData empowers personal data by wrapping it in a cloak of intelligence such that it now becomes the individual’s virtual proxy in cyberspace. No longer will personal data be shared or stored in the cloud as merely data, encrypted or otherwise; it will now be stored and shared as a constituent of the binary string specifying the entire SmartData agent. This agent proactively builds-in privacy, security and user preferences, right from the outset, not as an afterthought. SmartData: Privacy Meets Evolutionary Robotics includes the advances made in the technology of simulating virtual worlds, together with the ideas emerging from fields of evolutionary robotics and embodied cognition within a framework of dynamical systems as an approach toward this ultimate goal. The book brings together top researchers in the field and addresses current personal data privacy challenges in the online-world.

Zielgruppe

Research

Autoren/Hrsg.

Harvey, Inman

Cavoukian, Ann

Hatzinakos, Dimitrios

Tomko, George

Borrett, Don

Kwan, Hon

Fachgebiete

• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Kryptologie, Informationssicherheit
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz

Inhaltsverzeichnis

Privacy by Design and the Promise of SmartData.- SmartData: the Need, the Goal and the Challenge.- Perspectives on Artificial Intelligence.- Context dependent information processing entails scale-free dynamics.- Philosophy and SmartData.- Relevance Realization and the Neurodynamics and Neural Connectivity of General Intelligence.- What Matters: Real Bodies and Virtual Worlds.- The development of autonomous virtual agents.- Patterns of Attractors in the “Brain".- A Privacy-Enabled Mobile Computing Model Using Intelligent Cloud-Based Services.- Unconstraint the Population: the Benefits of Horizontal Gene Transfer in Genetic Algorithms.- A robust system for distributed data mining and preserving-privacy.- A Distributed Mobile Application for Data Collection with Intelligent Agent Based Data Management Policy.- Security Risks Assessment Based on Intelligent Systems and Attack Graphs.- An adaptive Intelligent Fuzzy Logic Classifier for Data Security and Privacy in Large Databases.- The Security Architecture Discipline as Catalyst to Effect Secure SmartData Design.- Trust and Non Person Entities SmartData as NPE Candidate.- Privacy-Enabled Mobile-Health (mHealth)-based Diabetic Solution.