Internet of Things and Cyber-Physical Systems最新文献

Thanks to new modern modes of communication, many and various possibilities offer taking advantage of enhanced and developed technologies. Researchers are constantly introducing better technological solutions which overcome former ones. This has led to rethink some tasks. To put them into action, automatically, this approach will be presented in this paper and will give interesting examples. Based on a networking concept, concrete examples will be described. The application will show how, among various servers, we have retained the one named ThingSpeak having been used to illustrate the IoT's technology utility. On account of the high rate in rabbit mortality this application is implemented in rabbitry The paper illustrates a prototype framework describing a real-time monitoring application. This study takes into account various factors such temperature, humidity and NH3 gas, that could cause rabbit mortality. So, thanks to offered real-time intervention, the mortality rate would be decreased. How, this would be obtained? That's what will be developed towards this paper. Thanks to Smartphones, the breeder has the possibility to accede to better manage his rabbitry. Examples are underlined to see how helpful is nowadays technology. Some enhancements, dealing with this effort, are previewed in the future.

Industry 4.0 is a new stage in the organisation and control of the industrial value chain, interchangeably with the fourth industrial revolution. It has a broad vision with well-defined frameworks and reference designs, focusing on bridging physical infrastructure and digital technology in so-called cyber-physical systems. Apart from the other essential technologies, Holography is considered a new innovative technology that can completely transform the vision of Industry 4.0. In industrial applications, holographic technology is used for quality control in manufacturing and fracture testing, such as holographic nondestructive testing. Holography has a wide range of applications in medicine, the military, weather forecasting, virtual reality, digital art, and security. The fourth industrial revolution aims to provide automated asset monitoring, decision-making for corporate operations, and real-time network connectivity. This paper explores holography and its significant benefits through various development processes, features, and applications, where the focus is on ‘holography for Industry 4.0'. Hologram technology is a new industry trend and can impact multiple domains of Industry 4.0. Furthermore, the adoption of holographic technologies may improve the efficiency of existing products and services in other technology sectors such as architecture, 3D modelling, mechatronics, robotics, and healthcare and medical engineering.

Data privacy on the Internet of Medical Things (IoMT) remains a critical concern when handling biomedical data. While extant studies focus on cryptography and differential privacy, few of them capture the utility and authenticity of data. As a result, data privacy remains the primary concern when training a machine learning (ML) model with IoMT data from various data sources/owners such as k − medoids. To overcome the above-mentioned issues, this study proposes secure ​k − medoids ​that are implemented together with Blockchain and partial homomorphic cryptosystem (Paillier) to ensure authenticity and protect all entities (i.e., data owner and data analyst) data privacy. The homomorphic property of Paillier is utilized to develop secure building blocks (i.e., secure polynomial operations, secure comparison, and secure biasing operations) to ensure data privacy and eliminate dependency on any third parties. We utilized three different biomedical datasets, and these are (I) Heart Disease Data (HDD), (II) Diabetes Data (DD), and (III) Breast Cancer Wisconsin Data (BCWD). Rigorous security analysis demonstrates that secure ​k − medoids ​protect against sensitive data breaches. It also showed superior performance in both BCWD (Accuracy 97.80%, Precision 96.83%, and Recall 99.80%) and HDD (Accuracy 82.50%, Precision 81.28%, and Recall 80.50%) datasets, respectively. However, similar performance was not reflected in the case of the DD dataset. Furthermore, the study explains why such performance results are observed. In addition, the proposed system has been proven to take less execution time compared to the extant studies.

The Internet of Things (IoT)-based intelligent medical system contains confidential and sensitive information of patients. Most of the data is related to the patient's medical information and physical information with a high degree of privacy. Therefore, the security and privacy of the data are very important. This study focuses on the privacy protection on information of data of patients during medical data sharing. First, the module structure of the IoT-based telemedicine system is analyzed. A lightweight and fine-grained retrieval and data sharing scheme is designed based on the Wireless Bodyarea Network (WBAN). The Ciphertext Policy Attribute Based Encryption (CP-ABE) scheme is improved mainly by incorporating a partial hidden encryption algorithm, and the improved one is defined as Attribute Partially Hidden Access Control (APHAC). Data users can only access the data when their attributes match the access policy formulated by the data owner. The simulation experiment factors into the storage overhead and computational overhead. The results show that when the number of attributes reaches 100, the APHAC scheme can save about 500 ​ms compared with the traditional CP-ABE scheme. As the number of attributes increases, only this scheme is stable, so it is more suitable for mobile devices. It can be concluded that the encrypted access control strategy proposed in this study avoids the excessive expenditure of end users in computing and storage resources while enabling users to have flexible access control.

Radiology includes a wide range of imaging technologies that use different technologies to capture patients' data. Virtual Reality (VR) is an innovative technology that provides a clear virtual image of a patient. We see the vast potential of VR to provide a positive impact in radiology. Most relevant papers on Virtual reality in Healthcare/Radiology are identified from Scopus, ScienceDirect, Google Scholar and ResearchGate. Paper tries to technologically explore VR and its applications to improve radiological training and learners' participation levels. Paper briefs about Virtual reality and its working process steps for radiology based clinical treatments. Supportive features of virtual reality in the broad radiology domain are discussed diagrammatically. This paper's primary strength is identifying and discussing thirteen significant VR applications in radiology. VR is an important technology that is viable for healthcare. With the integration of various components and software, it provides a complete virtual display. In the starting years, this technology was for entertainment purposes. Nowadays, this technology is used to visualise the internal structure. The patient's internal or external parts are used to create more integrated interaction, providing a better procedure for guidance. A radiologist can benefit from this technology for trainees' procedural planning, in-process guidance, detection, diagnosis, and education.

The Fourth Industrial Revolution may help many sectors and industries, whereas healthcare will be significantly impacted. Medical advances will be swifter, better and more effective, quickly providing medications to patients. It will act as a leveller for healthcare services by making them available to everybody. Medical 4.0 is the fourth medical revolution, employing emerging technologies to create significant advancements in healthcare. New medical 4.0 technology has advanced significantly, ranging from mobile computing to cloud computing, over the previous decade and is now ready to be employed as commercially accessible, networked systems. Expanding and with higher life expectancies, there is an enormous need for improved healthcare for older populations. This paper explores Medical 4.0 and its demand in the healthcare sector and discusses various progressive steps for Medical 4.0 implementation. Smart and Advanced Features of Medical 4.0 Practices are discussed diagrammatically. Medical 4.0 envisions a strongly interconnected health system. A hospital bed can be connected to the network and use patient data via the Internet of Things (IoT). Finally, this paper explores & provides the significant applications of Medical 4.0 for healthcare services. In addition to being creative, Medical 4.0 decreases the healthcare burden in affluent nations and offers good services to less developed countries, providing comprehensive and high-quality treatment. Medical 4.0 is characterised by technical discoveries and developments in the medical profession to encourage patient-centred therapy and drugs. This digital transformation, where patients' data will be electronically collected and utilised by technology to better understand and diagnose them, replaces the doctor-centric treatment techniques with a patient-centric paradigm.

This study is aimed to explore the anti-epidemic effect of artificial intelligence (AI) algorithms such as digital twins on the COVID-2019 (novel coronavirus disease 2019), so that the information security and prediction accuracy of epidemic prevention and control (P & C) in smart cities can be further improved. It addresses the problems in the current public affairs governance strategy for the outbreak of the COVID-2019 epidemic, and uses digital twins technology to map the epidemic P & C situation in the real space to the virtual space. Then, the blockchain technology and deep learning algorithms are introduced to construct a digital twins model of the COVID-2019 epidemic (the COVID-DT model) based on blockchain combined with BiLSTM (Bi-directional Long Short-Term Memory). In addition, performance of the constructed COVID-DT model is analyzed through simulation. Analysis of network data security transmission performance reveals that the constructed COVID-DT model shows a lower average delay, its data message delivery rate (DMDR) is basically stable at 80%, and the data message disclosure rate (DMDCR) is basically stable at about 10%. The analysis on network communication cost suggests that the cost of this study does not exceed 700 bytes, and the prediction error does not exceed 10%. Therefore, the COVID-DT model constructed shows high network security performance while ensuring low latency performance, enabling more efficient and accurate interaction of information, which can provide experimental basis for information security and development trends of epidemic P & C in smart cities.

The recent mass production and usage of the Internet of Things (IoT) have posed serious concerns due to the unavoidable security complications. The firmware of IoT systems is a critical component of IoT security. Although multiple organizations have released security guidelines, few IoT vendors are following these guidelines properly, either due to a lack of accountability or the availability of appropriate resources. Some tools for this purpose can use static, dynamic, or fuzzing techniques to test the security of IoT firmware, which may result in false positives or failure to discover vulnerabilities. Furthermore, the vast majority of resources are devoted to a single subject, such as networking protocols, web interfaces, or Internet of Things computer applications. This paper aims to present a novel method for conducting compliance testing and vulnerability evaluation on IoT system firmware, communication interfaces, and networking services using static and dynamic analysis. The proposed system detects a broad range of security bugs across a wide range of platforms and hardware architectures. To test and validate our prototype, we ran tests on 4300 firmware images and discovered 13,000+ compliance issues. This work, we believe, will be the first step toward developing a reliable automated compliance testing framework for the IoT manufacturing industry and other stakeholders.