Artificial Intelligence and the Internet of Things in Industry 4.0

This paper presents a new design for artificial intelligence in cyber-physical systems. We present a survey of principles, policies, design actions and key technologies for CPS, and discusses the state of art of the technology in a qualitative perspective. First, literature published between 2010 and 2021 is reviewed, and compared with the results of a qualitative empirical study that correlates world leading Industry 4.0 frameworks. Second, the study establishes the present and future techniques for increased automation in cyber-physical systems. We present the cybersecurity requirements as they are changing with the integration of artificial intelligence and internet of things in cyber-physical systems. The grounded theory methodology is applied for analysis and modelling the connections and interdependencies between edge components and automation in cyber-physical systems. In addition, the hierarchical cascading methodology is used in combination with the taxonomic classifications, to design a new integrated framework for future cyber-physical systems. The study looks at increased automation in cyber-physical systems from a technical and social level.

[1]  Wei Li,et al.  Towards IP geolocation with intermediate routers based on topology discovery , 2019, Cybersecur..

[2]  Christian Berger,et al.  Continuous Experimentation on Cyber-Physical Systems: Challenges and Opportunities , 2016, XP Workshops.

[3]  Thomas Kuhn,et al.  Virtual Validation of Cyber Physical Systems , 2015, Software Engineering & Management.

[4]  David De Roure,et al.  The Industrial Internet of Things in the Industry 4.0 supply chains: literature review and future trends , 2019, ArXiv.

[5]  Michael Huth,et al.  Mapping the values of IoT , 2018, J. Inf. Technol..

[6]  Barend Mons,et al.  FAIR Science for Social Machines: Let's Share Metadata Knowlets in the Internet of FAIR Data and Services , 2019, Data Intelligence.

[7]  span,et al.  Intelligent Incipient Fault Detection in Wind Turbines based on Industrial IoT Environment , 2019, Journal of Artificial Intelligence and Systems.

[8]  Jun Zhao,et al.  X-Ray Refine: Supporting the Exploration and Refinement of Information Exposure Resulting from Smartphone Apps , 2018, CHI.

[9]  Hajar Fatorachian,et al.  Impact of Industry 4.0 on supply chain performance , 2020, Production Planning & Control.

[10]  Nigel Shadbolt,et al.  Social Palimpsests - clouding the lens of the personal panopticon , 2014 .

[11]  Malte Brettel,et al.  Enablers for Self-optimizing Production Systems in the Context of Industrie 4.0 , 2016 .

[12]  Chao Zhang,et al.  Fuzzing: a survey , 2018, Cybersecur..

[13]  Joe Cunningham,et al.  The industrial internet of things (IIoT): An analysis framework , 2018, Comput. Ind..

[14]  Paulo Leitão,et al.  Industrial automation based on cyber-physical systems technologies: Prototype implementations and challenges , 2016, Comput. Ind..

[15]  Z. Sarfraz,et al.  Is COVID-19 pushing us to the Fifth Industrial Revolution (Society 5.0)? , 2021, Pakistan journal of medical sciences.

[16]  Barnaby Craggs,et al.  Smart cyber-physical systems: beyond usable security to security ergonomics by design , 2017 .

[17]  Aditya Ashok,et al.  Cyber-Physical Security Testbeds: Architecture, Application, and Evaluation for Smart Grid , 2013, IEEE Transactions on Smart Grid.

[18]  Peter Burnap,et al.  Artificial intelligence and machine learning in dynamic cyber risk analytics at the edge , 2020, SN Applied Sciences.

[19]  Bo Chen,et al.  Ensuring data confidentiality via plausibly deniable encryption and secure deletion – a survey , 2018, Cybersecur..

[20]  Wendy Hall,et al.  A Storm in an IoT Cup: The Emergence of Cyber-Physical Social Machines , 2018, ArXiv.

[21]  Jose Arturo Garza-Reyes,et al.  A fuzzy rule-based industry 4.0 maturity model for operations and supply chain management , 2021 .

[22]  Michael K. Brady,et al.  Rise of the Machines? Customer Engagement in Automated Service Interactions , 2021 .

[23]  Madaan Aastha,et al.  Where the smart things are , 2019 .

[24]  Kleanthis Thramboulidis,et al.  A cyber-physical system-based approach for industrial automation systems , 2014, Comput. Ind..

[25]  Xiao-Guang Yue,et al.  Multistage implementation framework for smart supply chain management under industry 4.0 , 2020, Technological Forecasting and Social Change.

[26]  Jaime Banks,et al.  A perceived moral agency scale: Development and validation of a metric for humans and social machines , 2019, Comput. Hum. Behav..

[27]  Paul Coulton,et al.  Design Drivers:A critical enabler to mediate value over the NPD process within Internet of Things , 2019 .

[28]  Paul R. Smart,et al.  Where the smart things are: social machines and the Internet of Things , 2018, Phenomenology and the Cognitive Sciences.

[29]  Christian Berger,et al.  Autonomous Driving-5 Years after the Urban Challenge: The Anticipatory Vehicle as a Cyber-Physical System , 2014, GI-Jahrestagung.

[30]  Carsten Maple,et al.  Future developments in standardisation of cyber risk in the Internet of Things (IoT) , 2019 .

[31]  Paul Coulton,et al.  Value creation for IoT: challenges and opportunities within the design and development process , 2019, Living in the Internet of Things (IoT 2019).

[32]  Petar Radanliev,et al.  Supply Chain Systems Architecture and Engineering Design: Green-Field Supply Chain Integration , 2015 .

[33]  David De Roure,et al.  Cyber risk at the edge: current and future trends on cyber risk analytics and artificial intelligence in the industrial internet of things and industry 4.0 supply chains , 2020, Cybersecur..

[34]  Günther Pernul,et al.  Graph-based visual analytics for cyber threat intelligence , 2018, Cybersecurity.

[35]  David De Roure,et al.  Observing Social Machines Part 2: How to Observe? , 2015, WebSci.

[36]  Daqiang Zhang,et al.  VCMIA: A Novel Architecture for Integrating Vehicular Cyber-Physical Systems and Mobile Cloud Computing , 2014, Mobile Networks and Applications.

[37]  Wei Wu,et al.  From proof-of-concept to exploitable , 2019, Cybersecur..

[38]  Hugh Glaser,et al.  Archetypal Narratives in Social Machines: Approaching Sociality through Prosopography , 2015, WebSci.