Describing and verifying integrated services of home network systems

Leelaprute, Pattara; Nakamura, Masahide; Tsuchiya, Tatsuhiro; Matsumoto, Kenichi; Kikuno, Tohru

doi:10.1109/apsec.2005.59

Cited by 13 publications

(8 citation statements)

References 8 publications

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“…In the device modeling category, the modeling and verification of the individual devices are performed according to their specified (reliable, safe, and secure) behavior , whereas, in devices’ interaction and their control modeling category, the modeling and the availability of interaction services and functionalities are verified along with ensuring the specified constraints of the systems, which are controlled through some sophisticated algorithms. The device interaction and their control modeling are carried out in the following literature .…”

Section: Related Workmentioning

confidence: 99%

Modeling and formal verification of smart environments

Corno

Sanaullah

2013

Security Comm Networks

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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.

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Section: Related Workmentioning

confidence: 99%

Modeling and formal verification of smart environments

Corno

Sanaullah

2013

Security Comm Networks

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“…In (Leelaprute et al, 2005), the authors present their work related to the modeling and verification of the integrated services in the home network system (HNS). They described and modeled the HNS by using the semantic of Object Oriented modeling in which the en-vironment, appliances, properties, methods, states and other relevant information are considered.…”

Section: Surveyed Literaturementioning

confidence: 99%

“…Boytsov and Zaslavsky (Boytsov and Zaslavsky, 2013) Corno and Sanaullah Sanaullah, 2011a,b, 2013) Coronato and Pietro Pietro, 2010a,b, 2011) Gnesi et al (Gnesi et al, 1999) Gnesi and Mazzanti (Gnesi and Mazzanti, 2004) Hoogendoorn et al (Hoogendoorn et al, 2009(Hoogendoorn et al, , 2013 Ishikawa et al (Ishikawa et al, 2009) Leelaprute et al (Leelaprute et al, 2005) Liu et al (Liu et al, 2012) (Masci et al, 2012(Masci et al, , 2013a Ranganathan and Campbell (Ranganathan and Campbell, 2008) challenging conditions such as versatile user behaviors, malfunctioning sensors, broken or out-of-order devices, which may compromise reliable response of the system. To cater to such scenarios, probabilistic modeling and verification is usually performed.…”

Section: Entire Sme Verificationmentioning

confidence: 99%

Design-time formal verification for smart environments: an exploratory perspective

Corno

Sanaullah

2013

J Ambient Intell Human Comput

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Smart Environments (SmE) are richly integrated with multiple heterogeneous devices; they perform the operations in intelligent manner by considering the context and actions/behaviors of the users. Their major objective is to enable the environment to provide ease and comfort to the users. The reliance on these systems demands consistent behavior. The versatility of devices, user behavior and intricacy of communication complicate the modeling and verification of SmE's reliable behavior. Of the many available modeling and verification techniques, formal methods appear to be the most promising. Due to a large variety of implementation scenarios and support for conditional behavior/processing, the concept of SmE is applicable to diverse areas which calls for focused research. As a result, a number of modeling and verification techniques have been made available for designers. This paper explores and puts into perspective the modeling and verification techniques based on an extended literature survey. These techniques mainly focus on some specific aspects, with a few overlapping scenarios (such as user interaction, devices interaction and control, context awareness, etc.), which were of the interest to the researchers based on their specialized competencies. The techniques are categorized on the basis of various factors and formalisms considered for the modeling and verification and later analyzed. The results show that no surveyed technique

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“…Pattara, et al 5) proposed a method that verifies the functional properties of HNS integrated services based on model checking. The method gives an automatic and complete proof if given properties hold against an abstract HNS model defined in a finite state space.…”

Section: Related Workmentioning

confidence: 99%

Validating Safety for the Integrated Services of the Home Network System Using JML

Yan

Nakamura

Bousquet

et al. 2008

Journal of Information Processing

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The home network system (HNS, for short) enables the flexible integration of networked home appliances, which achieves value-added integrated services. Assuring safety within such integrated services is a crucial issue to guarantee a high quality of life in smart home. In this paper, we present a novel framework for the safety of the HNS integrated services. We first propose a way to define safety in the context of the integrated services, which is characterized by local safety, global safety, and environment safety. We then propose a method that can validate the above three kinds of safety for given HNS implementations. Exploiting the concept of Design by Contract (DbC, for short), the proposed method represents every safety property as a contract between a provider and a consumer of an HNS object. The contracts are embedded within the implementations, and then are validated through elaborate testing. We implement the method using Java Modeling Language (JML, for short) and JUnit with a test-case generation tool TOBIAS. Using the proposed framework, one can define and validate the safety of HNS integrated services, systematically and efficiently.

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Describing and verifying integrated services of home network systems

Cited by 13 publications

References 8 publications

Modeling and formal verification of smart environments

Modeling and formal verification of smart environments

Design-time formal verification for smart environments: an exploratory perspective

Validating Safety for the Integrated Services of the Home Network System Using JML

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