Collaborative Systems for Smart Environments: Trends and Challenges

Camarinha-Matos, Luís M.

doi:10.1007/978-3-662-44745-1_1

Cited by 16 publications

(13 citation statements)

References 27 publications

(36 reference statements)

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“…With the emergence of the concept of smart environments security need be properly addressed. While a great amount of data is sensed from an urban environment for risk management, employing a risk-adaptive security model that and allows collaboration in risk-management is critical [26]. Therefore, proper access control mechanisms must be in place for maintaining privacy and security to avoid unauthorized access to data, and to prevent users, processes or applications to misuse data in smart spaces [27].…”

Section: Related Workmentioning

confidence: 99%

A web-based cooperative tool for risk management with adaptive security

Fugini

Teimourikia

Hadjichristofi

2016

Future Generation Computer Systems

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Risk management can benefit from Web-based tools fostering actions for treating risks in an environment, while having several individuals collaborating to face the endeavors related to risks. During the intervention, the security rules in place to preserve resources from unauthorized access, might need to be modified on the fly, e.g., increasing the privileges of risk managers or letting rescue teams view the exact position of the victims. Modifications should respect the overall security policies and avoid security conflicts. This paper presents a dynamic access control model for environmental risks involving physical resources. Data structures included in our Web application to represent both risk and security are given. To keep the dynamic security rules compliant with overall organization security objectives, we consider rules grouped in Access Control Domains so that changes do not create security conflicts during collaboration in risk management. Considering work environments as an example, risk and access control models are introduced. Security is built on the ABAC (Attribute Based Access Control) paradigm. A Risk Management System (RMS) is illustrated: it captures events, signals potential risks, and outputs strategies to prevent the risk. Dynamic authorization is included in the RMS to vary subjects' privileges on physical resources based on risk level, people position and so on. These concepts are implemented in a prototype Web application appearing as a Web Dashboard for risk management

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Section: Related Workmentioning

confidence: 99%

A web-based cooperative tool for risk management with adaptive security

Fugini

Teimourikia

Hadjichristofi

2016

Future Generation Computer Systems

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“…which should be able to generate and communicate data and information and potentially interact among them and with the users. Therefore, there is the need to develop standardized communication channels that will manage all the collected and distributed data flows, along with new methods and tools to analyse ambient data in the building, but also behaviours leading to the emergence of a new form of engineering based on embedded services for the built environment, deploying new forms of extended enterprise information systems, as for virtual enterprises [61,62] and achieving coherence between strategies in these extended enterprise systems [63]. As an example of these types of new open platforms to plug-in software and hardware, the CSTBox, i.e., CSTB sensing and tele monitoring box [64], is a global solution designed by CSTB, which targets embedded applications based on ambient instrumentations and allows using at the same time various devices, including sensors, actuators and user interaction devices, which are provided by different makers and make use of different communication protocols.…”

Section: Vision and Futurementioning

confidence: 99%

A Quarter Century of Work to Revolutionize Architecture, Engineering and Construction Enterprise Information Systems

Zarli¹,

Poyet²

2017

JCEA

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More than two decades ago, object-oriented representation of AEC (architecture engineering and construction) projects started to offer the promise of seamless communication of semantic data models between computer-based systems used from the design stage to the operation of the facilities. BIM (building information modelling) emerged and appeared as a means to store all relevant data generated during the life-cycle of the facilities. But this upstream view of the built environment, arising from the design and construction stages, extended to the downstream operations where building and industrial facilities appeared more and more as huge dynamic data producers and concentrators while being operated. This created new challenges leading to what is referred to as ISCs (intelligent and smart constructions). The current state of the art is that final constructions still contain various and increasingly versatile control and service systems, which are hardly standardised, and not interconnected among themselves. Monitoring, maintenance and services are done by specialised companies, each responsible of different systems, which are relying on customised software and techniques to meet specific user needs and are based on monolithic applications that require manual configuration for specific uses, maintenance and support. We demonstrate in this paper that the early promises of integration across the actors and along the life-time of facilities have gone a long way but will only be delivered through enhanced standardisation of computerized models, representations, services and operations still not yet fully accomplished 25 years after work started.Key words: Architecture engineering and construction, building information models, semantic interoperability, intelligent and smart built environment, information systems and sensors for new services.

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“…In consequence, one of the essential nuances of the term "smart city" is given by the ICT incorporation in urban infrastructure, with solutions as city operating systems, centralized control rooms, urban dashboards, intelligent transport systems, integrated travel ticketing, bike share schemes, real-time passenger information displays, logistics management systems, smart energy grids, controllable lighting, smart meters, sensor networks, building management systems, various smartphone apps and sharing economy platforms, etc. [12][13][14][15].…”

Section: Introductionmentioning

confidence: 99%

The Importance of Internet of Things Security for Smart Cities

Georgescu¹,

Popescul²

2016

Smart Cities Technologies

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The purpose of this chapter is to provide an extensive overview of security-related problems in the context of smart cities. The impressive heterogeneity, ubiquity, miniaturization, autonomous and unpredictable behaviour of objects interconnected in Internet of Things, the real data deluges generated by them and, on the other side, the new hacking methods based on sensors and short-range communication technologies transform smart cities in complex environments in which the already-existing security analyses are not useful anymore. Specific security vulnerabilities, threats and solutions are approached from different areas of the smart cities' infrastructure. As urban management should pay close attention to security and privacy protection, network protocols, identity management, standardization, trusted architecture, etc., this chapter will serve them as a start point for better decisions in security design and management.

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Collaborative Systems for Smart Environments: Trends and Challenges

Cited by 16 publications

References 27 publications

A web-based cooperative tool for risk management with adaptive security

A web-based cooperative tool for risk management with adaptive security

A Quarter Century of Work to Revolutionize Architecture, Engineering and Construction Enterprise Information Systems

The Importance of Internet of Things Security for Smart Cities

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