Modeling and formal verification of smart environments

Abstract

Smart environments SmE are a growing combination of various computing frameworks (ubiquitous, pervasive etc.), devices, control algorithms, and a complex web of interactions. It is at the core of user facilitation in a number of industrial, domestic, and public areas. On the basis of their application areas, SmE may be critical in terms of correctness, reliability, safety, security, etc. To achieve error‐free and requirement‐compliant implementation, these systems are designed by resorting to various modeling approaches including ontology and statecharts. This paper attempts to consider correctness, reliability, safety, and security in the design process of SmE and their related components by proposing a design time modeling and formal verification methodology. The proposed methodology covers various design features related to modeling and formal verification of SmE (focusing on users, devices, environment, control algorithms, and their interaction) against the set of the requirements through model checking. A realistic case study of a Bank Door Security Booth System (BDSB) is tested. The results show the successful verification of the properties related to the safety, security, and desired reliable behavior of BDSB. Copyright © 2013 John Wiley & Sons, Ltd.

Towards a conceptual framework of OSH risk management in smart working environments based on smart PPE, ambient intelligence and the Internet of Things technologies

“…Since the concept of context-aware computing is of a generic nature, it may be implemented in almost every CPS application aimed at providing services in various aspects of life, business, science, etc. Review of the literature reveals a large number of studies focused on applications that are based on context awareness, and can be used for different types of SE, disregarding the types of users and the nature of services realised by these systems (see, e.g., [108,[112][113][114][115][116][117][118]). Nevertheless, in the context of a discussion on the selection and adoption of appropriate methodologies for SWE development, particular attention should be paid to methods and other achievements in thematically neighbouring domains, such as smart healthcare, ambient assisted living (AAL) and smart homes (also referred to as smart living).…”

Design framework for reliable and environment aware management of smart environment devices

“…In model checking based approaches (e.g., [3,4]), developers first model the entities of the considered system and how they interact to achieve the target objectives (i.e., decide the actions to perform when events occur). Then, developers define a set of properties and the model checker verify if the properties are satisfied by the given model.…”

“…In the literature, several solutions have been proposed for the reliability of smart environments [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15][16]. These solutions use different methods (e.g., model checking, pairwise comparison of rules) to prevent from explicit and/or implicit conflicts and objectives violations.…”

Représentation et vérification d’un environnement intelligent à partir de spécifications utilisateur en langage naturel

“…Ces nouveaux systèmes qui peuvent interagir avec l'humain sont de plus en plus complexes. En fonction de leurs champs d'application, leur vérification peut être critique en termes de fiabilité ou de sécurité (Corno, Sanaullah, 2013) comme par exemple lorsqu'ils sont voués à s'adapter à des personnes handicapées (Guillet et al, 2013). Lors d'un développement logiciel, la vérification peut intervenir à différents stades.…”

“…Toutefois, à ce stade de développement les erreurs identifiées sont bien plus coûteuses que si elles avaient été identifiées plus tôt dans le cycle de développement. Dans (Corno, Sanaullah, 2013) ou (Guillet et al, 2013) la vérification porte sur une modélisation d'un environnement intelligent. Les erreurs identifiées permettent alors de fixer les bugs liés au modèle.…”