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D1.1: COLLABS Innovations for Industrial IoT Systems1

Miloš Radovanović, Wafa Ben Jaballah, George Bravos, Erwan Le-Disez, Ernesto Gomez Marin, Erwin Moed, Md Masoom Rabbani, Valerio Senni, Fabio Federici, George Spanoudakis, Konstantinos Fysarakis, Martin Wimmer (+2 others)
2021 Zenodo  
attestation for tackling security issues in IoT systems, implementations of secure multiparty computation (SMC) and homomorphic encryption (HE), platforms providing trusted execution environments (TEEs  ...  Sections 2–8 respectively focus on the SotA in areas of: data protection (Section 2), distributed anomaly detection and remote attestation (Section 3), physical security (Section 4), function as a service  ...  functions as well as integrity and confidentiality of sensor data o Measures for secure parameter configuration update o Integration of trusted platform modules (TPM), combining into a unique solution  ... 
doi:10.5281/zenodo.5256842 fatcat:xf4y27mcjvbwvfjxy7lo4kwqw4

A Taxonomy Study on Securing Blockchain-based Industrial Applications: An Overview, Application Perspectives, Requirements, Attacks, Countermeasures, and Open Issues [article]

Khizar Hameed, Mutaz Barika, Saurabh Garg, Muhammad Bilal Amin, Byeong Kang
2021 arXiv   pre-print
This study presents a state-of-the-art survey of Blockchain-based Industry 4.0 applications, focusing on crucial application and security and privacy requirements, as well as corresponding attacks on Blockchain  ...  Although several approaches have been proposed to address the specific security and privacy needs of targeted applications with functional parameters, there is still a need for a research study on the  ...  This platform is widely used in the food industry and informs users about their food products' location. • The IBM Watson IoT platform [119] supports isolated blockchains for IoT data sharing, adding  ... 
arXiv:2105.11665v1 fatcat:bsm7w2shjneajp425oddszr6ju

Production Plant and Warehouse Automation with IoT and Industry 5.0

Zainab Fatima, Muhammad Hassan Tanveer, Waseemullah Waseemullah, Shehnila Zardari, Laviza Falak Naz, Hina Khadim, Noorah Ahmed, Midha Tahir
2022 Applied Sciences  
Industry 5.0 aims to strengthen the interaction between ever-increasing powerful machinery and the productive abilities of human beings.  ...  It improves the data assembling, productivity of the operation, communication efficiency, and overall manufacturing performance.  ...  The technologies of design and production cardinally changed due to the implementation of Industry 4.0 [1] .  ... 
doi:10.3390/app12042053 fatcat:bujra6udvjhh5gvnrct3q5oyqq

Industry 4.0 Applications for Medical/Healthcare Services

Shuva Paul, Muhtasim Riffat, Abrar Yasir, Mir Nusrat Mahim, Bushra Yasmin Sharnali, Intisar Tahmid Naheen, Akhlaqur Rahman, Ambarish Kulkarni
2021 Journal of Sensor and Actuator Networks  
We focus on such technologies, including Internet of Things, Big Data Analytics, blockchain, Cloud Computing, and Artificial Intelligence, implemented in Healthcare 4.0.  ...  The whole ecosystem is moving towards Healthcare 4.0, through the application of Industry 4.0 methodologies.  ...  The solutions proposed by the authors, in terms of their platform for sharing data based on blockchain, attempts to address the problems which are crippling for blockchain, in terms of sharing data.  ... 
doi:10.3390/jsan10030043 fatcat:qze3zq53izevzoy6zpx4n3myya

Improving Transactional Data System Based on an Edge Computing–Blockchain–Machine Learning Integrated Framework

Zeinab Shahbazi, Yung-Cheol Byun
2021 Processes  
The modern industry, production, and manufacturing core is developing based on smart manufacturing (SM) systems and digitalization.  ...  Blockchain technology utilizes the data transmission and the manufacturing system's transactions, and the machine learning approach provides advanced data analysis for a huge manufacturing dataset.  ...  Yes Yes No No changes in level of security 5 Bong et al. [51] IoT devices security modul Limit hacking based on usage of blockchain Yes Yes Yes Verification didn't improve the security  ... 
doi:10.3390/pr9010092 fatcat:vwfapathvfdmpajp5vl6hq255a

The Duo of Artificial Intelligence and Big Data for Industry 4.0: Review of Applications, Techniques, Challenges, and Future Research Directions [article]

Senthil Kumar Jagatheesaperumal, Mohamed Rahouti, Kashif Ahmad, Ala Al-Fuqaha, Mohsen Guizani
2021 arXiv   pre-print
In this paper, we provide a comprehensive overview of different aspects of AI and Big Data in Industry 4.0 with a particular focus on key applications, techniques, the concepts involved, key enabling technologies  ...  In detail, we highlight and analyze how the duo of AI and Big Data is helping in different applications of Industry 4.0.  ...  ACKNOWLEDGMENT The authors gratefully acknowledge the Management, and Faculty of Mepco Schlenk Engineering College, Sivakasi, India for their support and extending necessary facilities to carry out this  ... 
arXiv:2104.02425v2 fatcat:r25gug6wmrbyjnreiewprdvqpa

Blockchain for the Cybersecurity of Smart City Applications [article]

Omar Cheikhrouhou, Ichrak Amdouni, Khaleel Mershad, Maryem Ammi, Tuan Nguyen Gia
2022 arXiv   pre-print
We believe that the present survey is a good starting point for every researcher in the fields of cybersecurity, blockchain, and smart cities.  ...  This paper provides a comprehensive review of the existing blockchain-based solutions for the cybersecurity of the main smart city applications, namely smart healthcare, smart transportation, smart agriculture  ...  ACKNOWLEDGEMENTS The authors wish to thank the anonymous reviewers for their valuable suggestions.  ... 
arXiv:2206.02760v1 fatcat:yuyen5kynnfwphh7vqn4ccywk4

A Survey on Federated Learning and its Applications for Accelerating Industrial Internet of Things [article]

Jiehan Zhou, Shouhua Zhang, Qinghua Lu, Wenbin Dai, Min Chen, Xin Liu, Susanna Pirttikangas, Yang Shi, Weishan Zhang, Enrique Herrera-Viedma
2021 arXiv   pre-print
Federated learning (FL) brings collaborative intelligence into industries without centralized training data to accelerate the process of Industry 4.0 on the edge computing level.  ...  for accommodating various scenarios; 2) discuss the state-of-the-art of FL on fundamental researches including data partitioning, privacy preservation, model optimization, local model transportation,  ...  A platform architecture of FL system based on blockchain is designed, which supports verifiable integrity of client data.  ... 
arXiv:2104.10501v1 fatcat:7xgpcscaq5hnrkvqc4kcohfgya

Examining the Effect of Cyber Twin and Blockchain Technologies for Industrial Applications Using AI

Hariprasath Manoharan, Yuvaraja Teekaraman, Ramya Kuppusamy, Naveenkumar Kaliyan, Amruth Ramesh Thelkar, Vijay Kumar
2022 Mathematical Problems in Engineering  
In addition, high security measures are also incorporated using blockchain technology which is one basic requirement for industrial applications for creating real twins.  ...  This paper emphasize on examining the effect of cyber twin technology for manufacturing equipment in Industry 4.0 applications by solving three different elementary objectives.  ...  greatly improved in different applications like healthcare, Industry 4.0, transportation, etc. e process of cyber twin technology provides reproduction of digital platform for both living and nonliving  ... 
doi:10.1155/2022/3048038 fatcat:22b6zfxbk5hdjlwf7g6hrowwcu

D2.2 The COLLABS Level-3 Security Package for Secure Digital Supply Networks: 1st complete version

Panagiotis Rizomiliotis, Konstantinos Tserpes, Aikaterini Triakosia
2021 Zenodo  
(Statistical Analytics and Machine- / Deep-Learning on shared data), T2.5 (Distributed anomaly detection for Industrial IoT) and T2.6 (Workflow-driven security for supply chain and compliance in manufacturing  ...  This the second deliverable of Work Package 2 tasks T2.1 (Tools and methods for secure data sharing), T2.2 (Trustworthiness of data flows), T2.3 (Machine learning-based cognitive security framework), T2.4  ...  REN Scenario 2 -Cloud-based architecture for industrial processes This scenario is motivated by the cloud-based smart factory of Industry 4.0 paradigm, modifying the production process to adopt a cloud-based  ... 
doi:10.5281/zenodo.5667012 fatcat:xgzhqfeq6nbwte4h256pntlkau

A Taxonomy of Security Issues in Industrial Internet-of-Things: Scoping Review for Existing Solutions, Future Implications, and Research Challenges

Pls Jayalaxmi, Rahul Saha, Gulshan Kumar, Neeraj Kumar, Tai-Hoon Kim
2021 IEEE Access  
Information domain provides a data service platform for the transformation and distribution of data.  ...  Sustaining confidentiality for customer and employee information by protecting industrial intelligence code, data, and configuration of production systems (blueprint of the products) is also important  ...  from Lovely Professional University, Punjab India with area of specialization in Cryptography, Position and Location computation in Wireless Sensor Networks.  ... 
doi:10.1109/access.2021.3057766 fatcat:adrf6tuayfagjnwfztzkozf64y

Blockchain in IoT Systems: End-to-End Delay Evaluation

Maha Alaslani, Faisal Nawab, Basem Shihada
2019 IEEE Internet of Things Journal  
Our results show that the unique characteristics of IoT traffic have an undeniable impact on the end-to-end delay requirement.  ...  Providing security and privacy for the Internet of Things (IoT) applications while ensuring a minimum level of performance requirements is an open research challenge.  ...  Two detailed uses cases will be given as follow: • Smart Industry (Industry 4.0): Industry 4.0 [9] is the 4 th stage of the industrial revolution.  ... 
doi:10.1109/jiot.2019.2917226 fatcat:3zhcl3ubzbaefnusbk7dhqxoka

Human Centric Digital Transformation and Operator 4.0 for the Oil and Gas Industry

Thumeera R. Wanasinghe, Trung Trinh, Trung Nguyen, Raymond G. Gosine, Lesley Anne James, Peter Warrian
2021 IEEE Access  
and Public Policy, and Memorial University of Newfoundland for their financial and intellectual support to this research project.  ...  ACKNOWLEDGEMENT The authors would like to thank Petroleum Research Newfoundland and Labrador (PRNL), Atlantic Canada Opportunities Agency (ACOA), Mitacs, University of Toronto's Munk School of Global Affairs  ...  on various types of O&G platforms and operating a range of equipment [83] .  ... 
doi:10.1109/access.2021.3103680 fatcat:cvrnf4tnirdznncmtgdmlmgrhu

Research on Traffic Detection Method of Secure Transmission Industrial Internet of Things Based on Computer Vision

Donghui Yang, Le Sun
2021 Scientific Programming  
In order to improve the visualization effect of monitoring, this study uses computer vision technology to construct a traffic detection system of secure transmission industrial Internet of Things and builds  ...  In recent years, the process of industrial modernization has intensified, traditional industrial control has been improved and rapidly developed, industrial automation and intelligent unmanned production  ...  Communica- processing platform suitable for industrial IoT big data.  ... 
doi:10.1155/2021/3406612 fatcat:wi7hh7i5hzco5jdu455j6nrwlq

Digital Transformation for Sustainable Future - Agriculture 4.0 : A review

2021 Journal of Agricultural Sciences  
The transition from primitive to digital is given with road maps covering agricultural and industrial revolutions at four stages on timeline.  ...  Digital agriculture combined under precision agriculture and Agriculture 4.0 are handled based on domains covering monitoring, control, prediction, and logistics.  ...  The platform enables the flexible combination of agricultural machinery, sensor systems, and data analysis tools to overcome the lack of interoperability.  ... 
doi:10.15832/ankutbd.986431 fatcat:grk5cygwvng7bgsd4hfgrgwlbi
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