Internet of Things and Cyber-Physical Systems最新文献_第5页

Green buildings: Requirements, features, life cycle, and relevant intelligent technologies 绿色建筑：要求、特点、生命周期和相关智能技术

Internet of Things and Cyber-Physical Systems Pub Date : 2024-01-01 Epub Date: 2024-09-12 DOI: 10.1016/j.iotcps.2024.09.002

Siyi Yin , Jinsong Wu , Junhui Zhao , Michele Nogueira , Jaime Lloret

引用次数: 0

Neural network inspired efficient scalable task scheduling for cloud infrastructure 受神经网络启发的云基础设施高效可扩展任务调度

Internet of Things and Cyber-Physical Systems Pub Date : 2024-01-01 Epub Date: 2024-03-08 DOI: 10.1016/j.iotcps.2024.02.002

Punit Gupta , Arnaav Anand , Pratyush Agarwal , Gavin McArdle

{"title":"Neural network inspired efficient scalable task scheduling for cloud infrastructure","authors":"Punit Gupta , Arnaav Anand , Pratyush Agarwal , Gavin McArdle","doi":"10.1016/j.iotcps.2024.02.002","DOIUrl":"https://doi.org/10.1016/j.iotcps.2024.02.002","url":null,"abstract":"<div><p>The rapid development of Cloud Computing in the 21st Century is landmark occasion, not only in the field of technology, but also in the field of engineering and services. The development in cloud architecture and services has enabled fast and easy transfer of data from one unit of a network to other. Cloud services support the latest transport services like smart cars, smart aviation services and many others. In the current trend, smart transport services depend on the performance of cloud Infrastructure and its services. Smart cloud services derive <em>real</em> time computing and allows it to make smart decision. For further improvement in cloud services, cloud resource optimization is a vital cog that defines the performance of cloud. Cloud services have certainly aimed to make the optimum use of all available resources to the become as cost efficient and time efficient as possible. One of the issues that still occur in multiple Cloud Environments is a failure in task execution. While there exist multiple methods to tackle this problem in task scheduling, in the recent times, the use of smart scheduling techniques has come to prominence. In this work, we aim to use the Harmony Search Algorithm and neural networks to create a fault aware system for optimal usage of cloud resources. Cloud environments are in general expected to be free of any errors or faults but with time and experience, we know that no system can be faultless. With our approach, we are looking to create the best possible time-efficient system for faulty environments, Where the result shows that the proposed harmony search-inspired ANN model provides least execution time, number of task failures, power consumption and high resource utilization as compared to recent Red fox and Crow search inspired models.</p></div>","PeriodicalId":100724,"journal":{"name":"Internet of Things and Cyber-Physical Systems","volume":"4 ","pages":"Pages 268-279"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2667345224000051/pdfft?md5=52d4b3c6032dcde3e4d8b4568429050a&pid=1-s2.0-S2667345224000051-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140113276","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Blockchain sharding scheme based on generative AI and DRL: Applied to building internet of things 基于生成式人工智能和 DRL 的区块链分片方案：应用于构建物联网

Internet of Things and Cyber-Physical Systems Pub Date : 2024-01-01 Epub Date: 2024-11-19 DOI: 10.1016/j.iotcps.2024.11.001

Jinlong Wang , Yixin Li , Yunting Wu , Wenhu Zheng , Shangzhuo Zhou , Xiaoyun Xiong

{"title":"Blockchain sharding scheme based on generative AI and DRL: Applied to building internet of things","authors":"Jinlong Wang , Yixin Li , Yunting Wu , Wenhu Zheng , Shangzhuo Zhou , Xiaoyun Xiong","doi":"10.1016/j.iotcps.2024.11.001","DOIUrl":"10.1016/j.iotcps.2024.11.001","url":null,"abstract":"<div><div>When applying blockchain sharding technology in the building Internet of Things (IoT) domain to enhance the throughput performance of the blockchain, cross-shard transactions triggered by device collaborative tasks have increasingly become a prominent issue. Existing solutions base their shard division on historical transaction moments, using the outcomes for future transaction processing. However, since the historical interaction characteristics do not accurately reflect the interaction details within specific fine-grained time periods, this leads to poor system performance. Additionally, the parameter configuration in blockchain sharding systems is mostly based on arbitrary or default settings, which also results in unstable system performance. To address these two challenges, this paper proposes a blockchain sharding scheme called AI-Shard. Firstly, the system includes a module, G-AI, that utilizes generative AI to predict future node interaction relationships, enabling more proactive and adaptive shard division based on the predicted interaction matrix. Secondly, the system integrates a reinforcement learning module, DL-AI, specifically tailored for configuring parameters of the blockchain sharding system, such as the number of shards, block size, and block interval, to automatically optimize them, aiming to further enhance the system's throughput. Experimental results show that AI-Shard can reduce the proportion of cross-shard transactions and improve the system's throughput.</div></div>","PeriodicalId":100724,"journal":{"name":"Internet of Things and Cyber-Physical Systems","volume":"4 ","pages":"Pages 333-349"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142698853","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Stability analysis of spatially interconnected systems with signal saturation 具有信号饱和的空间互联系统稳定性分析

Internet of Things and Cyber-Physical Systems Pub Date : 2023-01-01 Epub Date: 2023-02-21 DOI: 10.1016/j.iotcps.2023.02.002

Junxiao Song , Huabo Liu

引用次数: 0

Blockchain inspired secure and reliable data exchange architecture for cyber-physical healthcare system 4.0 区块链为网络物理医疗保健系统4.0提供了安全可靠的数据交换架构

Internet of Things and Cyber-Physical Systems Pub Date : 2023-01-01 Epub Date: 2023-05-29 DOI: 10.1016/j.iotcps.2023.05.006

Mohit Kumar , Hritu Raj , Nisha Chaurasia , Sukhpal Singh Gill

{"title":"Blockchain inspired secure and reliable data exchange architecture for cyber-physical healthcare system 4.0","authors":"Mohit Kumar , Hritu Raj , Nisha Chaurasia , Sukhpal Singh Gill","doi":"10.1016/j.iotcps.2023.05.006","DOIUrl":"https://doi.org/10.1016/j.iotcps.2023.05.006","url":null,"abstract":"<div><p>A cyber-physical system is considered to be a collection of strongly coupled communication systems and devices that poses numerous security trials in various industrial applications including healthcare. The security and privacy of patient data is still a big concern because healthcare data is sensitive and valuable, and it is most targeted over the internet. Moreover, from the industrial perspective, the cyber-physical system plays a crucial role in the exchange of data remotely using sensor nodes in distributed environments. In the healthcare industry, Blockchain technology offers a promising solution to resolve most securities-related issues due to its decentralized, immutability, and transparency properties. In this paper, a blockchain-inspired secure and reliable data exchange architecture is proposed in the cyber-physical healthcare industry 4.0. The proposed system uses the BigchainDB, Tendermint, Inter-Planetary-File-System (IPFS), MongoDB, and AES encryption algorithms to improve Healthcare 4.0. Furthermore, blockchain-enabled secure healthcare architecture for accessing and managing the records between Doctors and Patients is introduced. The development of a blockchain-based Electronic Healthcare Record (EHR) exchange system is purely patient-centric, which means the entire control of data is in the owner's hand which is backed by blockchain for security and privacy. Our experimental results reveal that the proposed architecture is robust to handle more security attacks and can recover the data if 2/3 of nodes are failed. The proposed model is patient-centric, and control of data is in the patient's hand to enhance security and privacy, even system administrators can't access data without user permission.</p></div>","PeriodicalId":100724,"journal":{"name":"Internet of Things and Cyber-Physical Systems","volume":"3 ","pages":"Pages 309-322"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49882290","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

Detection-based active defense of biased injection attack based on robust adaptive controller 基于鲁棒自适应控制器的偏注入攻击检测主动防御

Internet of Things and Cyber-Physical Systems Pub Date : 2023-01-01 Epub Date: 2023-01-25 DOI: 10.1016/j.iotcps.2023.01.004

Xinyu Wang , Xiangjie Wang , Mingyue Zhang , Shuzheng Wang

{"title":"Detection-based active defense of biased injection attack based on robust adaptive controller","authors":"Xinyu Wang , Xiangjie Wang , Mingyue Zhang , Shuzheng Wang","doi":"10.1016/j.iotcps.2023.01.004","DOIUrl":"https://doi.org/10.1016/j.iotcps.2023.01.004","url":null,"abstract":"<div><p>As the promising technology, the cooperative cyber-physical system can enhance the operating efficiency and reliability of smart grids. Meanwhile, the characteristics that deep integration of cyber-physical system can make smart grid face new security problems caused by false data injection attack. To maintain a safe and stable operation of smart grids, timely detection and defense of the emerging false data injection attacks, such as biased injection attack, is crucial. For this reason, this paper aims at developing a detection-based active defense mechanisms against biased injection attacks via robust adaptive controller. Through the established physical dynamic power model, an improved adaptive observer-based detection algorithm is proposed. Through the design of observer parameters, the proposed adaptive observer can enhance the accuracy of estimation state. In contrast to well-known attack detection methods for smart grids, the performance of attack detection under the developed detection algorithm can be effectively improved, such as the accuracy of state estimation and false positive rate. Through the above results provided by the attack detection, a robust adaptive controller-based active defense method is further developed. The proposed method can offset the impact of biased injection attack to maintain the stable running of power system. Simulation studies demonstrate the reliable response of the developed active defense method against biased injection attacks.</p></div>","PeriodicalId":100724,"journal":{"name":"Internet of Things and Cyber-Physical Systems","volume":"3 ","pages":"Pages 14-23"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49882219","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Fortaleza: The emergence of a network hub 福塔莱萨:网络枢纽的出现

Internet of Things and Cyber-Physical Systems Pub Date : 2023-01-01 Epub Date: 2023-05-18 DOI: 10.1016/j.iotcps.2023.05.001

Eric Bragion , Habiba Akter , Mohit Kumar , Minxian Xu , Ahmed M. Abdelmoniem , Sukhpal Singh Gill

{"title":"Fortaleza: The emergence of a network hub","authors":"Eric Bragion , Habiba Akter , Mohit Kumar , Minxian Xu , Ahmed M. Abdelmoniem , Sukhpal Singh Gill","doi":"10.1016/j.iotcps.2023.05.001","DOIUrl":"https://doi.org/10.1016/j.iotcps.2023.05.001","url":null,"abstract":"<div><p>Digitalisation, accelerated by the pandemic, has brought the opportunity for companies to expand their businesses beyond their geographic location and has considerably affected networks around the world. Cloud services have a better acceptance nowadays, and it is foreseen that this industry will grow exponentially in the following years. With more distributed networks that need to support customers in different locations, the model of one-single server in big financial centres has become outdated and companies tend to look for alternatives that will meet their needs, and this seems to be the case with Fortaleza, in Brazil. With several submarine cables connections available, the city has stood out as a possible hub to different regions, and this is what this paper explores. Making use of real traffic data through looking glasses, we established a latency classification that ranges from exceptionally low to high and analysed 800 latencies from Roubaix, Fortaleza and Sao Paulo to Miami, Mexico City, Frankfurt, Paris, Milan, Prague, Sao Paulo, Santiago, Buenos Aires and Luanda. We found that non-developed countries have a big dependence on the United States to route Internet traffic. Despite this, Fortaleza proves to be an alternative for serving different regions with relatively low latencies.</p></div>","PeriodicalId":100724,"journal":{"name":"Internet of Things and Cyber-Physical Systems","volume":"3 ","pages":"Pages 272-279"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49882277","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Security of federated learning with IoT systems: Issues, limitations, challenges, and solutions 物联网系统联合学习的安全性:问题、限制、挑战和解决方案

Internet of Things and Cyber-Physical Systems Pub Date : 2023-01-01 Epub Date: 2023-04-14 DOI: 10.1016/j.iotcps.2023.04.001

Jean-Paul A. Yaacoub , Hassan N. Noura , Ola Salman

{"title":"Security of federated learning with IoT systems: Issues, limitations, challenges, and solutions","authors":"Jean-Paul A. Yaacoub , Hassan N. Noura , Ola Salman","doi":"10.1016/j.iotcps.2023.04.001","DOIUrl":"https://doi.org/10.1016/j.iotcps.2023.04.001","url":null,"abstract":"<div><p>Federated Learning (FL, or Collaborative Learning (CL)) has surely gained a reputation for not only building Machine Learning (ML) models that rely on distributed datasets, but also for starting to play a key role in security and privacy solutions to protect sensitive data and information from a variety of ML-related attacks. This made it an ideal choice for emerging networks such as Internet of Things (IoT) systems, especially with its state-of-the-art algorithms that focus on their practical use over IoT networks, despite the presence of resource-constrained devices. However, the heterogeneous nature of the current devices and models in complex IoT networks has seriously hindered the FL training process's ability to perform well. Thus, rendering it almost unsuitable for direct deployment over IoT networks despite ongoing efforts to tackle this issue and overcome this challenging obstacle. As a result, the main characteristics of FL in the IoT from both security and privacy aspects are presented in this study. We broaden our research to investigate and analyze cutting-edge FL algorithms, models, and protocols, with a focus on their efficacy and practical application across IoT networks and systems alike. This is followed by a comparative analysis of the recently available protection solutions for FL that can be based on cryptographic and non-cryptographic solutions over heterogeneous, dynamic IoT networks. Moreover, the proposed work provides a list of suggestions and recommendations that can be applied to enhance the effectiveness of the adoption of FL and to achieve higher robustness against attacks, especially in heterogeneous dynamic IoT networks and in the presence of resource-constrained devices.</p></div>","PeriodicalId":100724,"journal":{"name":"Internet of Things and Cyber-Physical Systems","volume":"3 ","pages":"Pages 155-179"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49882283","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

IoT: Communication protocols and security threats 物联网:通信协议和安全威胁

Internet of Things and Cyber-Physical Systems Pub Date : 2023-01-01 Epub Date: 2023-01-04 DOI: 10.1016/j.iotcps.2022.12.003

Apostolos Gerodimos , Leandros Maglaras , Mohamed Amine Ferrag , Nick Ayres , Ioanna Kantzavelou

引用次数: 0

Edge AI: A survey Edge AI:一项调查

Internet of Things and Cyber-Physical Systems Pub Date : 2023-01-01 Epub Date: 2023-03-03 DOI: 10.1016/j.iotcps.2023.02.004

Raghubir Singh , Sukhpal Singh Gill

{"title":"Edge AI: A survey","authors":"Raghubir Singh , Sukhpal Singh Gill","doi":"10.1016/j.iotcps.2023.02.004","DOIUrl":"https://doi.org/10.1016/j.iotcps.2023.02.004","url":null,"abstract":"<div><p>Artificial Intelligence (AI) at the edge is the utilization of AI in real-world devices. Edge AI refers to the practice of doing AI computations near the users at the network's edge, instead of centralised location like a cloud service provider's data centre. With the latest innovations in AI efficiency, the proliferation of Internet of Things (IoT) devices, and the rise of edge computing, the potential of edge AI has now been unlocked. This study provides a thorough analysis of AI approaches and capabilities as they pertain to edge computing, or Edge AI. Further, a detailed survey of edge computing and its paradigms including transition to Edge AI is presented to explore the background of each variant proposed for implementing Edge Computing. Furthermore, we discussed the Edge AI approach to deploying AI algorithms and models on edge devices, which are typically resource-constrained devices located at the edge of the network. We also presented the technology used in various modern IoT applications, including autonomous vehicles, smart homes, industrial automation, healthcare, and surveillance. Moreover, the discussion of leveraging machine learning algorithms optimized for resource-constrained environments is presented. Finally, important open challenges and potential research directions in the field of edge computing and edge AI have been identified and investigated. We hope that this article will serve as a common goal for a future blueprint that will unite important stakeholders and facilitates to accelerate development in the field of Edge AI.</p></div>","PeriodicalId":100724,"journal":{"name":"Internet of Things and Cyber-Physical Systems","volume":"3 ","pages":"Pages 71-92"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49882216","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 29