Smart factory: security issues, challenges, and solutions

Recently, due to the population aging and the fast development of information and communications technology (ICT), the number of laborers has remarkably decreased. This has created a demand to improve the productivity and product quality of companies and manufacturers. Besides, Smart Factories are expected to meet those requirements as consumers' needs are diversified, demanding personalized production and rapid and accurate manufacturing innovation rather than traditional manufacturing firms. The term “Smart Factory” means an intelligent factory that integrates ICT into the traditional manufacturing industry. This applies to the entire process of planning, requirement analysis, design, production, distribution, and sales. Smart Factory broadly covers level 4 areas that deal with general information technology (IT) and level 0–3 areas that deal with operational technology (OT). Thus, information covered in OT areas can cause problems not only for a company but also for its country if it is leaked to the outside world as a company’s core asset. Therefore, it is important to identify and respond to potential security threats in a Smart Factory environment. To this end, in this paper, we research the components of major Smart Factory architecture. Subsequently, we discuss security issues and problems that may occur before the establishment of a Smart Factory. Finally, we propose a Smart Factory security model and a secure response to cyberattacks to address security issues.

[1]  Dekun Liu,et al.  The framework design of smart factory in discrete manufacturing industry based on cyber-physical system , 2020, Int. J. Comput. Integr. Manuf..

[2]  A. Bertoncelj,et al.  The Influence of Critical Factors on Business Model at a Smart Factory: A Case Study , 2019, Business Systems Research Journal.

[3]  Frank Herrmann,et al.  The Smart Factory and Its Risks , 2018, Syst..

[4]  Jose Barata,et al.  Big Data Analysis in Smart Manufacturing: A Review , 2017 .

[5]  D. Solyali,et al.  Smart Manufacturing for Industry 4.0 using Radio Frequency Identification (RFID) Technology , 2020, Jurnal Kejuruteraan.

[6]  Qingsong Hua,et al.  Industrial Big Data Analysis in Smart Factory: Current Status and Research Strategies , 2017, IEEE Access.

[7]  Detlef Zühlke,et al.  SmartFactory - Towards a factory-of-things , 2010, Annu. Rev. Control..

[8]  Patrick Tessier,et al.  Conceiving the model-driven smart factory , 2015, ICSSP.

[9]  Ji-Eun Jung,et al.  Design of Smart Factory Web Services Based on the Industrial Internet of Things , 2017, HICSS.

[10]  Björn Häckel,et al.  Assessing IT availability risks in smart factory networks , 2018, Business Research.

[11]  K. Krishnan,et al.  Industry 4.0 in Logistics and Supply Chain Management: A Systematic Literature Review , 2020 .

[12]  Pradip Kumar Sharma,et al.  BIIoVT: Blockchain-Based Secure Storage Architecture for Intelligent Internet of Vehicular Things , 2021, IEEE Consumer Electronics Magazine.

[13]  Prasanna Kumar Illa,et al.  Practical Guide to Smart Factory Transition Using IoT, Big Data and Edge Analytics , 2018, IEEE Access.

[14]  Jin Hoh,et al.  Convergence-based Smart Factory Security Threats and Response Trends , 2017 .

[15]  Jiafu Wan,et al.  A Blockchain-Based Solution for Enhancing Security and Privacy in Smart Factory , 2019, IEEE Transactions on Industrial Informatics.

[16]  Jiafu Wan,et al.  Artificial Intelligence for Cloud-Assisted Smart Factory , 2018, IEEE Access.

[17]  Jong Hyuk Park,et al.  Future Trends of IoT, 5G Mobile Networks, and AI: Challenges, Opportunities, and Solutions , 2020 .

[18]  Ian Witten,et al.  Data Mining , 2000 .

[19]  G. Büchi,et al.  Smart factory performance and Industry 4.0 , 2020, Technological Forecasting and Social Change.

[20]  Abdul-Rahman Al-Ali,et al.  Cyber physical systems role in manufacturing technologies , 2018 .

[21]  Turgay Celik,et al.  Toward a Smart Cloud: A Review of Fault-Tolerance Methods in Cloud Systems , 2018, IEEE Transactions on Services Computing.

[22]  Sang Do Noh,et al.  Design and implementation of a digital twin application for a connected micro smart factory , 2019, Int. J. Comput. Integr. Manuf..

[23]  Amy J. C. Trappey,et al.  An intelligent patent recommender adopting machine learning approach for natural language processing: A case study for smart machinery technology mining , 2021 .

[24]  Ahmad-Reza Sadeghi,et al.  Security and privacy challenges in industrial Internet of Things , 2015, 2015 52nd ACM/EDAC/IEEE Design Automation Conference (DAC).

[25]  Katherine C. Morris,et al.  A reference activity model for smart factory design and improvement , 2016, Production Planning & Control.

[26]  윤재영,et al.  스마트공장을 위한 IT 융합 표준화 동향 분석과 시스템 구조 , 2015 .

[27]  Seong-Taek Park,et al.  A study on smart factory-based ambient intelligence context-aware intrusion detection system using machine learning , 2018, J. Ambient Intell. Humaniz. Comput..

[28]  Lei Shu,et al.  Smart Factory of Industry 4.0: Key Technologies, Application Case, and Challenges , 2018, IEEE Access.

[29]  Jong Hyuk Park,et al.  A blockchain-based smart home gateway architecture for preventing data forgery , 2020, Human-centric Computing and Information Sciences.

[30]  Marco Balduzzi,et al.  Smart Factory Security: A Case Study on a Modular Smart Manufacturing System , 2021 .

[31]  Przemysław Zawadzki,et al.  Fulfilling Individual Requirements of Customers in Smart Factory Model , 2018 .

[32]  Masood Ur Rehman,et al.  Advances in Sensor Technologies in the Era of Smart Factory and Industry 4.0 † , 2020, Sensors.

[33]  Seok-Lyong Lee,et al.  CAPHAR: context-aware personalized human activity recognition using associative learning in smart environments , 2020, Human-centric Computing and Information Sciences.

[34]  Umberto Spagnolini,et al.  Wireless Cloud Networks for the Factory of Things: Connectivity Modeling and Layout Design , 2014, IEEE Internet of Things Journal.

[35]  T. Newe,et al.  Challenges Associated with Implementing 5G in Manufacturing , 2020, Telecom.

[36]  Daqiang Zhang,et al.  Towards smart factory for industry 4.0: a self-organized multi-agent system with big data based feedback and coordination , 2016, Comput. Networks.

[37]  Jiafu Wan,et al.  Implementing Smart Factory of Industrie 4.0: An Outlook , 2016, Int. J. Distributed Sens. Networks.