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DevOps for Trustworthy Smart IoT Systems: (NowOpen)

DevOps for Trustworthy Smart IoT Systems: (NowOpen)


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About the Book

The ebook edition of this title is Open Access and freely available to read online. ENACT is a research project funded by the European Commission under its H2020 program. The project consortium consists of twelve industry and research member organisations spread across the whole EU. The overall goal of the ENACT project was to provide a novel set of solutions to enable DevOps in the realm of trustworthy Smart IoT Systems. Smart IoT Systems (SIS) are complex systems involving not only sensors but also actuators with control loops distributed all across the IoT, Edge and Cloud infrastructure. Since smart IoT systems typically operate in a changing and often unpredictable environment, the ability of these systems to continuously evolve and adapt to their new environment is decisive to ensure and increase their trustworthiness, quality and user experience. DevOps has established itself as a software development life-cycle model that encourages developers to continuously bring new features to the system under operation without sacrificing quality. This book reports on the ENACT work to empower the development and operation as well as the continuous and agile evolution of SIS, which is necessary to adapt the system to changes in its environment, such as newly appearing trustworthiness threats.

Table of Contents:
Chapter 1. Introduction Chapter 2. The ENACT Approach Chapter 3. Privacy Issues Control in Continuous Risk Management Chapter 4. Model-based Continuous Deployment of SIS Chapter 5. A DevOps Toolchain for Managing Actuation Conflicts in Smart IoT Systems Chapter 6. Online Reinforcement Learning for Self-Adaptive Smart IoT Systems Chapter 7. Security of Smart IoT Systems. Chapter 8. Validation, Verification and Root-Cause Analysis. Chapter 9. SIS-based eHealth application: the Tellu use Case. Chapter 10. Intelligent Transport System: the Indra Use Case. Chapter 11. Smart Building: the Tecnalia KUBIK use case. Chapter 12. Conclusion.

About the Author :
Nicolas Ferry is an Associate Professor at University Côte d'Azur. Prior he was a Senior Research Scientist at SINTEF. He holds a Ph.D. degree from the University of Nice. His research interest includes model-driven engineering, domain specific languages, Internet of Things, cloud-computing, self-adaptive systems, and dynamic adaptive systems. He has actively contributed to various national and international research projects such as the REMICS, CITI-SENSE, MC-Suite and MODAClouds EU projects, and is the technical manager of the H2020 ENACT project. He has also served as a program committee member of international conferences and workshops. Erkuden Rios received the B.S. and M.S. degree in telecommunication engineering from University of Basque Country, Bilbao, Spain, in 1997. In 2020 Erkuden has received a Ph.D. in multi-Cloud security assurance from University of Basque Country. After working six years for Ericsson Spain, she is currently senior scientist of Cybersecurity research team of ICT Division in Fundación Tecnalia Research & Innovation, Derio, Spain. She is currently the coordinator of the Security WP in the H2020 ENACT project on Secure and Privacy-aware Smart IoT Systems as well as in the H2020 SPEAR project on Secure Smart Grids. Previously, she was the coordinator of the H2020 MUSA project on Multi-cloud Security as well as the chair of the Data Protection, Security and Privacy in Cloud Cluster of EU-funded research projects, launched by DG-CNECT in April 2015. Furthermore, she has worked in multiple large European and Spanish projects on cybersecurity and trust such as POSEIDON, PDP4E, TACIT, RISC, ANIKETOS, SWEPT, CIPHER and SHIELDS. Her main research interests include Trust and Security, Risk Management, and AI for Cybersecurity. Mrs. Erkuden collaborates with Technology Platforms and Forums such as Cybersecurity PPP ECSO, ETSI Secure Artificial Intelligence Working Group, AIOTI WG4 Policy and Privacy and the Spanish National Network on Cybersecurity. She has been member of Programme Committees of Journals and Conferences. Andreas Metzger is senior academic councilor at the University of Duisburg-Essen and heads the Adaptive Systems and Big Data Applications group at paluno, the Ruhr Institute for Software Technology. He holds a Ph.D. in computer science from the Technical University of Kaiserslautern. His background and research interests are software engineering and machine learning for self-adaptive systems. Among other leadership roles, he was technical coordinator of the European H2020 lighthouse project Transforming Transport and work package leader in the H2020 ENACT project. Andreas serves as steering committee vice chair of NESSI, the European Technology Platform dedicated to Software, Services and Data, and as deputy secretary general of the Big Data Value Association (BDVA/DAIRO).


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Product Details
  • ISBN-13: 9781680838244
  • Publisher: Emerald Publishing Inc
  • Publisher Imprint: now publishers Inc
  • Height: 234 mm
  • No of Pages: 304
  • Returnable: N
  • Series Title: NowOpen
  • Weight: 652 gr
  • ISBN-10: 1680838245
  • Publisher Date: 06 Jul 2021
  • Binding: Hardback
  • Language: English
  • Returnable: N
  • Returnable: N
  • Spine Width: 17 mm
  • Width: 156 mm


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