Due to the long-term goal of bringing about significant changes in the quality of services supplied to smart city residents and urban environments and life, the development and deployment of ICT in city infrastructure...Due to the long-term goal of bringing about significant changes in the quality of services supplied to smart city residents and urban environments and life, the development and deployment of ICT in city infrastructure has spurred interest in smart cities. Applications for smart cities can gather private data in a variety of fields. Different sectors such as healthcare, smart parking, transportation, traffic systems, public safety, smart agriculture, and other sectors can control real-life physical objects and deliver intelligent and smart information to citizens who are the users. However, this smart ICT integration brings about numerous concerns and issues with security and privacy for both smart city citizens and the environments they are built in. The main uses of smart cities are examined in this journal article, along with the security needs for IoT systems supporting them and the identified important privacy and security issues in the smart city application architecture. Following the identification of several security flaws and privacy concerns in the context of smart cities, it then highlights some security and privacy solutions for developing secure smart city systems and presents research opportunities that still need to be considered for performance improvement in the future.展开更多
隐蔽性强及攻击方式灵活的中间人(Man-in-the-Middle Attack,MITM)攻击是当前物联网(Internet of Things,IoT)智能家居安全面临的最大安全隐患之一.从攻击与防御两个角度提出了基于上下文感知融合的物联网设备配对模型和基于熵的异构物...隐蔽性强及攻击方式灵活的中间人(Man-in-the-Middle Attack,MITM)攻击是当前物联网(Internet of Things,IoT)智能家居安全面临的最大安全隐患之一.从攻击与防御两个角度提出了基于上下文感知融合的物联网设备配对模型和基于熵的异构物联设备指纹生成机制,以对抗型思维并行开展监测与防御方案研究,实现了对隐藏安全威胁的感知与过滤,通过相似度阈值分析测试与评估模型的建立完成了设备安全性验证,具有较好的效果与优势.展开更多
In the groundbreaking study “The Contribution of AI-powered Mobile Apps to Smart City Ecosystems,” authored by Zaki Ali Bayashot, the transformative role of artificial intelligence (AI) in urban development is metic...In the groundbreaking study “The Contribution of AI-powered Mobile Apps to Smart City Ecosystems,” authored by Zaki Ali Bayashot, the transformative role of artificial intelligence (AI) in urban development is meticulously examined. This comprehensive research delineates the multifaceted ways in which AI-powered mobile applications can significantly enhance the efficiency, sustainability, and livability of urban environments, marking a pivotal step towards the realization of smart cities globally. Bayashot meticulously outlines the critical areas where AI-powered apps offer unprecedented advantages, including urban mobility, public safety, energy management, and environmental monitoring. By leveraging AI’s capabilities, these applications not only streamline city operations but also foster a more sustainable interaction between city dwellers and their environment. The paper emphasizes the importance of data-driven decision-making in urban planning, showcasing how AI analytics can predict and mitigate traffic congestion, optimize energy consumption, and enhance emergency response strategies. The author also explores the social implications of AI in urban settings, highlighting the potential for these technologies to bridge the gap between government entities and citizens. Through engaging case studies, Bayashot demonstrates how participatory governance models, enabled by AI apps, can promote transparency, accountability, and citizen engagement in urban management. A significant contribution of this research is its focus on the challenges and opportunities presented by the integration of AI into smart city ecosystems. Bayashot discusses the technical, ethical, and privacy concerns associated with AI applications, advocating for a balanced approach that ensures technological advancements do not come at the expense of civil liberties. The study calls for robust regulatory frameworks to govern the use of AI in public spaces, emphasizing the need for ethical AI practices that respect privacy and promote inclusivity. Furthermore, Bayashot’s research underscores the necessity of cross-disciplinary collaboration in the development and implementation of AI technologies in urban contexts. By bringing together experts from information technology, urban planning, environmental science, and social sciences, the author argues for a holistic approach to smart city development. This interdisciplinary strategy ensures that AI applications are not only technologically sound but also socially and environmentally responsible. The paper concludes with a visionary outlook on the future of smart cities, posited on the seamless integration of AI technologies. Bayashot envisions a world where AI-powered mobile apps not only facilitate smoother urban operations but also empower citizens to actively participate in the shaping of their urban environments. This research serves as a critical call to action for policymakers, technologists, and urban planners to embrace AI as a tool for creating more sustainable, efficient, and inclusive cities. By presenting a detailed analysis of the current state of AI in urban development, coupled with practical insights and forward-looking recommendations, “The Contribution of AI-powered Mobile Apps to Smart City Ecosystems” stands as a seminal work that is poised to inspire and guide the evolution of urban landscapes worldwide. Its comprehensive exploration of the subject matter, combined with its impactful conclusions, make it a must-read for anyone involved in the field of smart city development, AI technology, or urban policy-making.展开更多
探讨物联网(Internet of Things,IoT)领域的两大关键技术,即窄带物联网(Narrow Band Internet of Things,NB-IoT)和增强型机器类型通信(enhanced Machine-Type Communication,eMTC),分析它们在不同应用场景下的实际应用和面临的挑战。...探讨物联网(Internet of Things,IoT)领域的两大关键技术,即窄带物联网(Narrow Band Internet of Things,NB-IoT)和增强型机器类型通信(enhanced Machine-Type Communication,eMTC),分析它们在不同应用场景下的实际应用和面临的挑战。详细介绍基于NB-IoT的智慧水表系统和基于eMTC的车辆跟踪系统的设计与实现,展示这些系统在提高城市管理效率、物流监控等方面的积极作用。针对网络覆盖与信号质量、数据安全与隐私保护、功耗与续航等关键技术挑战,提出相应的解决方案。最后总结NB-IoT和eMTC的广阔应用前景和市场潜力,并对未来技术发展和应用趋势进行展望。展开更多
Internet of Things (IoT) is a widely distributed network which requires small amount of power supply having limited storage and processing capacity. On the other hand, Cloud computing has virtually unlimited storage a...Internet of Things (IoT) is a widely distributed network which requires small amount of power supply having limited storage and processing capacity. On the other hand, Cloud computing has virtually unlimited storage and processing capabilities and is a much more mature technology. Therefore, combination of Cloud computing and IoT can provide the best performance for users. Cloud computing nowadays provides lifesaving healthcare application by collecting data from bedside devices, viewing patient information and diagnose in real time. There may some concerns about security and other issues of the patient’s data but utilization of IoT and Cloud technologies in healthcare industry would open a new era in the field of healthcare. To ensure basic healthcare needs of the people in the rural areas, we have proposed Cloud-IoT based smart healthcare system. In this system various types of sensors (Temperature, Heart bit, ECG, etc.) are equipped in the patient side to sense the patient’s physiological data. For securing data RSA based authentication algorithm and mitigation of several security threats have been used. The sensed data will process and store in the Cloud server. Stored data can be used by the authorized and/or concerned medical practitioner upon approved by the user for patient caring.展开更多
As the Internet of things(IoT)technology is evolving,distributed solar energy resources can be operated,monitored,and controlled remotely.The design of an IoT based solar energy system for smart irrigation is essentia...As the Internet of things(IoT)technology is evolving,distributed solar energy resources can be operated,monitored,and controlled remotely.The design of an IoT based solar energy system for smart irrigation is essential for regions around the world,which face water scarcity and power shortage.Thus,such a system is designed in this paper.The proposed system utilizes a single board system-on-a-chip controller(the controller hereafter),which has built-in WiFi connectivity,and connections to a solar cell to provide the required operating power.The controller reads the field soil moisture,humidity,and temperature sensors,and outputs appropriate actuation command signals to operate irrigation pumps.The controller also monitors the underground water level,which is essential to prevent the pump motors from burning due to the level in the water well.The proposed system has three modes of operations,i.e.the local control mode,mobile monitoring-control mode,and fuzzy logic-based control mode.For the purpose of the proposed system validation,a prototype was designed,built,and tested.展开更多
文摘Due to the long-term goal of bringing about significant changes in the quality of services supplied to smart city residents and urban environments and life, the development and deployment of ICT in city infrastructure has spurred interest in smart cities. Applications for smart cities can gather private data in a variety of fields. Different sectors such as healthcare, smart parking, transportation, traffic systems, public safety, smart agriculture, and other sectors can control real-life physical objects and deliver intelligent and smart information to citizens who are the users. However, this smart ICT integration brings about numerous concerns and issues with security and privacy for both smart city citizens and the environments they are built in. The main uses of smart cities are examined in this journal article, along with the security needs for IoT systems supporting them and the identified important privacy and security issues in the smart city application architecture. Following the identification of several security flaws and privacy concerns in the context of smart cities, it then highlights some security and privacy solutions for developing secure smart city systems and presents research opportunities that still need to be considered for performance improvement in the future.
文摘隐蔽性强及攻击方式灵活的中间人(Man-in-the-Middle Attack,MITM)攻击是当前物联网(Internet of Things,IoT)智能家居安全面临的最大安全隐患之一.从攻击与防御两个角度提出了基于上下文感知融合的物联网设备配对模型和基于熵的异构物联设备指纹生成机制,以对抗型思维并行开展监测与防御方案研究,实现了对隐藏安全威胁的感知与过滤,通过相似度阈值分析测试与评估模型的建立完成了设备安全性验证,具有较好的效果与优势.
文摘In the groundbreaking study “The Contribution of AI-powered Mobile Apps to Smart City Ecosystems,” authored by Zaki Ali Bayashot, the transformative role of artificial intelligence (AI) in urban development is meticulously examined. This comprehensive research delineates the multifaceted ways in which AI-powered mobile applications can significantly enhance the efficiency, sustainability, and livability of urban environments, marking a pivotal step towards the realization of smart cities globally. Bayashot meticulously outlines the critical areas where AI-powered apps offer unprecedented advantages, including urban mobility, public safety, energy management, and environmental monitoring. By leveraging AI’s capabilities, these applications not only streamline city operations but also foster a more sustainable interaction between city dwellers and their environment. The paper emphasizes the importance of data-driven decision-making in urban planning, showcasing how AI analytics can predict and mitigate traffic congestion, optimize energy consumption, and enhance emergency response strategies. The author also explores the social implications of AI in urban settings, highlighting the potential for these technologies to bridge the gap between government entities and citizens. Through engaging case studies, Bayashot demonstrates how participatory governance models, enabled by AI apps, can promote transparency, accountability, and citizen engagement in urban management. A significant contribution of this research is its focus on the challenges and opportunities presented by the integration of AI into smart city ecosystems. Bayashot discusses the technical, ethical, and privacy concerns associated with AI applications, advocating for a balanced approach that ensures technological advancements do not come at the expense of civil liberties. The study calls for robust regulatory frameworks to govern the use of AI in public spaces, emphasizing the need for ethical AI practices that respect privacy and promote inclusivity. Furthermore, Bayashot’s research underscores the necessity of cross-disciplinary collaboration in the development and implementation of AI technologies in urban contexts. By bringing together experts from information technology, urban planning, environmental science, and social sciences, the author argues for a holistic approach to smart city development. This interdisciplinary strategy ensures that AI applications are not only technologically sound but also socially and environmentally responsible. The paper concludes with a visionary outlook on the future of smart cities, posited on the seamless integration of AI technologies. Bayashot envisions a world where AI-powered mobile apps not only facilitate smoother urban operations but also empower citizens to actively participate in the shaping of their urban environments. This research serves as a critical call to action for policymakers, technologists, and urban planners to embrace AI as a tool for creating more sustainable, efficient, and inclusive cities. By presenting a detailed analysis of the current state of AI in urban development, coupled with practical insights and forward-looking recommendations, “The Contribution of AI-powered Mobile Apps to Smart City Ecosystems” stands as a seminal work that is poised to inspire and guide the evolution of urban landscapes worldwide. Its comprehensive exploration of the subject matter, combined with its impactful conclusions, make it a must-read for anyone involved in the field of smart city development, AI technology, or urban policy-making.
文摘探讨物联网(Internet of Things,IoT)领域的两大关键技术,即窄带物联网(Narrow Band Internet of Things,NB-IoT)和增强型机器类型通信(enhanced Machine-Type Communication,eMTC),分析它们在不同应用场景下的实际应用和面临的挑战。详细介绍基于NB-IoT的智慧水表系统和基于eMTC的车辆跟踪系统的设计与实现,展示这些系统在提高城市管理效率、物流监控等方面的积极作用。针对网络覆盖与信号质量、数据安全与隐私保护、功耗与续航等关键技术挑战,提出相应的解决方案。最后总结NB-IoT和eMTC的广阔应用前景和市场潜力,并对未来技术发展和应用趋势进行展望。
文摘Internet of Things (IoT) is a widely distributed network which requires small amount of power supply having limited storage and processing capacity. On the other hand, Cloud computing has virtually unlimited storage and processing capabilities and is a much more mature technology. Therefore, combination of Cloud computing and IoT can provide the best performance for users. Cloud computing nowadays provides lifesaving healthcare application by collecting data from bedside devices, viewing patient information and diagnose in real time. There may some concerns about security and other issues of the patient’s data but utilization of IoT and Cloud technologies in healthcare industry would open a new era in the field of healthcare. To ensure basic healthcare needs of the people in the rural areas, we have proposed Cloud-IoT based smart healthcare system. In this system various types of sensors (Temperature, Heart bit, ECG, etc.) are equipped in the patient side to sense the patient’s physiological data. For securing data RSA based authentication algorithm and mitigation of several security threats have been used. The sensed data will process and store in the Cloud server. Stored data can be used by the authorized and/or concerned medical practitioner upon approved by the user for patient caring.
基金supported by the American University of Sharjah under Grant ELE/COE 490-491
文摘As the Internet of things(IoT)technology is evolving,distributed solar energy resources can be operated,monitored,and controlled remotely.The design of an IoT based solar energy system for smart irrigation is essential for regions around the world,which face water scarcity and power shortage.Thus,such a system is designed in this paper.The proposed system utilizes a single board system-on-a-chip controller(the controller hereafter),which has built-in WiFi connectivity,and connections to a solar cell to provide the required operating power.The controller reads the field soil moisture,humidity,and temperature sensors,and outputs appropriate actuation command signals to operate irrigation pumps.The controller also monitors the underground water level,which is essential to prevent the pump motors from burning due to the level in the water well.The proposed system has three modes of operations,i.e.the local control mode,mobile monitoring-control mode,and fuzzy logic-based control mode.For the purpose of the proposed system validation,a prototype was designed,built,and tested.
