SDTIOA: Modeling the Timed Privacy Requirements of IoT Service Composition: A User Interaction Perspective for Automatic Transformation from BPEL to Timed Automata

With the development of the Internet of Things (IoT) and the Internet, new kinds of services based on IoT devices will benefit everyone. As a key step in achieving a complex business structure based on a massive number of IoT devices, establishing an effective service composition is extremely import...

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Published in:	Mobile networks and applications Vol. 26; no. 6; pp. 2272 - 2297
Main Authors:	Gao, Honghao, Zhang, Yida, Miao, Huaikou, Barroso, Ramón J. Durán, Yang, Xiaoxian
Format:	Journal Article
Language:	English
Published:	New York Springer US 01.12.2021 Springer Nature B.V
Subjects:	Algorithms Business Process Execution Language Communications Engineering Composition effects Computer Communication Networks Electrical Engineering Engineering Internet of Things IT in Business Networks Privacy Verification IoT service composition Privacy requirements BPEL verification Timed automata User interactions UPPAAL
ISSN:	1383-469X, 1572-8153
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Abstract	With the development of the Internet of Things (IoT) and the Internet, new kinds of services based on IoT devices will benefit everyone. As a key step in achieving a complex business structure based on a massive number of IoT devices, establishing an effective service composition is extremely important. The emerging architecture of composition is related to process management and is subject to security risks, such as privacy leaks. Traditional service composition methods have difficulty verifying the timed privacy requirements of an IoT service composition. Therefore, this paper proposes an automatic method of transforming Business Process Execution Language (BPEL) into timed automata for formal verification, with the aim of formalizing timed privacy requirements for the IoT service composition and verifying the formal model returned to the UPPAAL supporting tool. First, a privacy requirement template is introduced to analyze the structure of the IoT service composition. Then, a timed computation tree logic (TCTL) property formula template is used to describe the privacy requirements, especially time constraints. Second, an extended timed I/O automata model, namely, the Sensitive Data Timed I/O Automata (SDTIOA) model, is proposed to formalize communication behavior, sensitive data treatment, and service time. Third, the corresponding transformation rules and algorithms are designed for BPEL and SDTIOA. These models can be adjusted through user interaction. Next, as a practical engineering application, we develop a prototype to show how to work with UPPAAL and generate UPPAAL code from SDTIOA code. Finally, a case study is discussed to illustrate the processes of modeling and timed verification for an IoT service composition.
AbstractList	With the development of the Internet of Things (IoT) and the Internet, new kinds of services based on IoT devices will benefit everyone. As a key step in achieving a complex business structure based on a massive number of IoT devices, establishing an effective service composition is extremely important. The emerging architecture of composition is related to process management and is subject to security risks, such as privacy leaks. Traditional service composition methods have difficulty verifying the timed privacy requirements of an IoT service composition. Therefore, this paper proposes an automatic method of transforming Business Process Execution Language (BPEL) into timed automata for formal verification, with the aim of formalizing timed privacy requirements for the IoT service composition and verifying the formal model returned to the UPPAAL supporting tool. First, a privacy requirement template is introduced to analyze the structure of the IoT service composition. Then, a timed computation tree logic (TCTL) property formula template is used to describe the privacy requirements, especially time constraints. Second, an extended timed I/O automata model, namely, the Sensitive Data Timed I/O Automata (SDTIOA) model, is proposed to formalize communication behavior, sensitive data treatment, and service time. Third, the corresponding transformation rules and algorithms are designed for BPEL and SDTIOA. These models can be adjusted through user interaction. Next, as a practical engineering application, we develop a prototype to show how to work with UPPAAL and generate UPPAAL code from SDTIOA code. Finally, a case study is discussed to illustrate the processes of modeling and timed verification for an IoT service composition.
Author	Miao, Huaikou Gao, Honghao Yang, Xiaoxian Zhang, Yida Barroso, Ramón J. Durán
Author_xml	– sequence: 1 givenname: Honghao orcidid: 0000-0001-6861-9684 surname: Gao fullname: Gao, Honghao organization: School of Computer Engineering and Science, Shanghai University – sequence: 2 givenname: Yida surname: Zhang fullname: Zhang, Yida organization: School of Computer Engineering and Science, Shanghai University – sequence: 3 givenname: Huaikou surname: Miao fullname: Miao, Huaikou organization: School of Computer Engineering and Science, Shanghai University – sequence: 4 givenname: Ramón J. Durán surname: Barroso fullname: Barroso, Ramón J. Durán organization: Faculty of Telecommunication Engineering, University of Valladolid – sequence: 5 givenname: Xiaoxian surname: Yang fullname: Yang, Xiaoxian email: xxyang@sspu.edu.cn organization: School of Computer and Information Engineering, Shanghai Polytechnic University
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References_xml	– reference: Song D, Wagner D, Tian X et al (2001) Timing analysis of keystrokes and timing attacks on SSH. Usenix Security Symposium, pp 25–25 – reference: ConstanteEPaciFZannoneNPrivacy-aware web service composition and rankingInternational Conference on Web Services2013103131138 – reference: UPPALL (2019) UPPAAL web help. https://www.it.uu.se/research/group/darts/uppaal/help.php?file=WebHelp – reference: WeberRHInternet of things: new security and privacy challengesThe Internet of Things2010261233010.1007/978-3-642-11710-7_2 – reference: Bertino E (2016) Data privacy for IoT systems: concepts, approaches, and research directions. International Conference on Big Data, pp 3645–3647 – reference: BhatiaRGujralMSPrivacy aware access control: a literature survey and novel frameworkInternational Journal of Information Technologies and Systems Approach2017102173010.4018/IJITSA.2017070102 – reference: RomanRNajeraPLopezJSecuring the internet of thingsIEEE Computer2011449515810.1109/MC.2011.291 – reference: Li YH, Paik H, Benatallah B et al (2006) Formal consistency verification between BPEL process and privacy policy. Conference on Privacy, Security and Trust – reference: Felten EW, Schneider MA (2000) Timing attacks on Web privacy. Computer and Communications Security, pp 25–32 – reference: Joshaghani R, Black S, Sherman E et al (2019) Formal specification and verification of user-centric privacy policies for ubiquitous systems. International Database Engineering and Applications Symposium – reference: Liu L, Huang Z, Xiao F et al (2010) Verification of privacy requirements in web services composition. 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Title	SDTIOA: Modeling the Timed Privacy Requirements of IoT Service Composition: A User Interaction Perspective for Automatic Transformation from BPEL to Timed Automata
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