Editorial

Editorial J Reliable Intell Environ (2017) 3:137 DOI 10.1007/s40860-017-0048-8 2 1 Antonio Coronato · Juan Carlos Augusto © Springer International Publishing AG 2017 This third issue of the third volume of the Journal of Reliable A secure remote user authentication scheme for smart Intelligent Environments consists of four papers. Three of cities E-governance applications, by Geeta Sharma and them concern different dependability attributes for Intelligent Sheetal Kalra, proposes a lightweight, robust remote user Environments. The fourth paper deals with the verification authentication and key agreement protocol for e-governance of quality characteristics of software-defined networks. applications in the smart cities. The protocol is based on Reliability and human factors in Ambient Assisted Liv- XOR and hash operations and includes a password and smart ing environments—The DOREMI case study, by Filippo card, user anonymity. mutual authentication, shared session Palumbo et al., presents the results of the analysis of the key and key freshness. It has formally proved to be resistant impact on the daily life of users (elderly and cognitive against many well-known security attacks. impaired people) of the intelligent environment technologies A Characterisation of Verification Tools for Software developed within the DOREMI project, an EU funded project Defined Networks, by Leticia Lavado et al., provides a pre- experimented in 32 test sites across UK and Italy. This paper liminary study of the current verification tools used to analyze concentrates on the activities conducted during the pilot site different quality properties of software defined networks studies, the users’ experience of the entire system, and how either before deployment or during the service. A classifica- human factors influenced its overall reliability. tion of the tools against certain characteristics is provided to Self-Adaptive Smart Spaces by Proactive Means-End Rea- ease the selection for potential users, and promising research soning, by Luca Sabatucci and Massimo Cossentino, deals areas are also reviewed. with the ability of an intelligent environment to change its We hope these articles stimulate the community to fur- behavior at run-time. This paper presents a theoretical frame- ther improvements in this area and perhaps to collaborations work and a general architecture for engineering self-adaptive between the participating teams so that complementary solu- smart spaces by breaking out some design-time constraints tions can be used in a combined way to tackle more complex between goals and tasks. The architecture supports software problems. evolution; indeed, goals may evolve during the application lifecycle. The architecture itself is responsible for configur- ing its components by means of a decision-making process supported by an ad hoc algorithm. B Juan Carlos Augusto j.augusto@mdx.ac.uk Antonio Coronato antonio.coronato@icar.cnr.it Department of Computer Science, Middlesex University, London, UK Institute for High Performance Computing and Networking National Research Council, Arcavacata, Italy http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Journal of Reliable Intelligent Environments Springer Journals

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Publisher
Springer International Publishing
Copyright
Copyright © 2017 by Springer International Publishing AG
Subject
Computer Science; Performance and Reliability; Software Engineering/Programming and Operating Systems; Artificial Intelligence (incl. Robotics); Simulation and Modeling; User Interfaces and Human Computer Interaction; Health Informatics
ISSN
2199-4668
eISSN
2199-4676
D.O.I.
10.1007/s40860-017-0048-8
Publisher site
See Article on Publisher Site

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