FedCognis is a secure and scalable federated learning framework designed for continuous anomaly detection in Industrial Internet of Things-enabled Cognitive Cities(IIoTCC).It introduces two key innovations:a Quantum S...FedCognis is a secure and scalable federated learning framework designed for continuous anomaly detection in Industrial Internet of Things-enabled Cognitive Cities(IIoTCC).It introduces two key innovations:a Quantum Secure Authentication(QSA)mechanism for adversarial defense and integrity validation,and a Self-Attention Long Short-Term Memory(SALSTM)model for high-accuracy spatiotemporal anomaly detection.Addressing core challenges in traditional Federated Learning(FL)—such as model poisoning,communication overhead,and concept drift—FedCognis integrates dynamic trust-based aggregation and lightweight cryptographic verification to ensure secure,real-time operation across heterogeneous IIoT domains including utilities,public safety,and traffic systems.Evaluated on the WUSTL-IIoTCC-2021 dataset,FedCognis achieves 94.5%accuracy,0.941 AUC for precision-recall,and 0.896 ROC-AUC,while reducing bandwidth consumption by 72%.The framework demonstrates sublinear computational complexity and a resilience score of 96.56%across six security dimensions.These results confirm FedCognis as a robust and adaptive anomaly detection solution suitable for deployment in large-scale cognitive urban infrastructures.展开更多
Integrating autonomous vehicles (AVs) and autonomous parking spaces (APS) marks a transformative development in urban mobility and sustainability. This paper reflects on these technologies’ historical evolution, curr...Integrating autonomous vehicles (AVs) and autonomous parking spaces (APS) marks a transformative development in urban mobility and sustainability. This paper reflects on these technologies’ historical evolution, current interdependence, and future potential through the lens of environmental, social, and economic sustainability. Historically, parking systems evolved from manual designs to automated processes yet remained focused on convenience rather than sustainability. Presently, advancements in smart infrastructure and vehicle-to-infrastructure (V2I) communication have enabled AVs and APS to operate as a cohesive system, optimizing space, energy, and transportation efficiency. Looking ahead, the seamless integration of AVs and APS into broader smart city ecosystems promises to redefine urban landscapes by repurposing traditional parking infrastructure into multifunctional spaces and supporting renewable energy initiatives. These technologies align with global sustainability goals by mitigating emissions, reducing urban sprawl, and fostering adaptive land uses. This reflection highlights the need for collaborative efforts among stakeholders to address regulatory and technological challenges, ensuring the equitable and efficient deployment of AVs and APS for smarter, greener cities.展开更多
Simulation is a powerful tool for improving,evaluating and analyzing the performance of new and existing systems.Traffic simulators provide tools for studying transportation systems in smart cities as they describe th...Simulation is a powerful tool for improving,evaluating and analyzing the performance of new and existing systems.Traffic simulators provide tools for studying transportation systems in smart cities as they describe the evolution of traffic to the highest level of detail.There are many types of traffic simulators that allow simulating traffic in modern cities.The most popular traffic simulation approach is the microscopic traffic simulation because of its ability to model traffic in a realistic manner.In many cities of Saudi Arabia,traffic management represents a major challenge as a result of expansion in traffic demands and increasing number of incidents.Unfortunately,employing simulation to provide effective traffic management for local scenarios in Saudi Arabia is limited to a number of commercial products in both public and private sectors.Commercial simulators are usually expensive,closed source and inflexible as they allow limited functionalities.In this project,we developed a local traffic simulator“KSUtraffic”for traffic modeling,planning and analysis with respect to different traffic control strategies and considerations.We modeled information specified by GIS and real traffic data.Furthermore,we designed experiments that manipulate simulation parameters and the underlying area.KSUTraffic visualizes traffic and provides statistical results on the simulated traffic which would help to improve traffic management and efficiency.展开更多
In recent years,Smart City Infrastructures(SCI)have become familiar whereas intelligent models have been designed to improve the quality of living in smart cities.Simultaneously,anomaly detection in SCI has become a h...In recent years,Smart City Infrastructures(SCI)have become familiar whereas intelligent models have been designed to improve the quality of living in smart cities.Simultaneously,anomaly detection in SCI has become a hot research topic and is widely explored to enhance the safety of pedestrians.The increasing popularity of video surveillance system and drastic increase in the amount of collected videos make the conventional physical investigation method to identify abnormal actions,a laborious process.In this background,Deep Learning(DL)models can be used in the detection of anomalies found through video surveillance systems.The current research paper develops an Internet of Things Assisted Deep Learning Enabled Anomaly Detection Technique for Smart City Infrastructures,named(IoTAD-SCI)technique.The aim of the proposed IoTAD-SCI technique is to mainly identify the existence of anomalies in smart city environment.Besides,IoTAD-SCI technique involves Deep Consensus Network(DCN)model design to detect the anomalies in input video frames.In addition,Arithmetic Optimization Algorithm(AOA)is executed to tune the hyperparameters of the DCN model.Moreover,ID3 classifier is also utilized to classify the identified objects in different classes.The experimental analysis was conducted for the proposed IoTADSCI technique upon benchmark UCSD anomaly detection dataset and the results were inspected under different measures.The simulation results infer the superiority of the proposed IoTAD-SCI technique under different metrics.展开更多
Equipped with millions of sensors and smart meters in smart gird,a reliable and resilient wireless communication technology is badly needed.Mobile networks are among the major energy communication networks which contr...Equipped with millions of sensors and smart meters in smart gird,a reliable and resilient wireless communication technology is badly needed.Mobile networks are among the major energy communication networks which contribute to global energy consumption increase rapidly.As one of core technologies of smart grid employing mobile networks,Demand Response(DR) helps improving efficiency,reliability and security for electric power grid infrastructure.Security of DR events is one of the most important issues in DR.However,the security requirements of different DR events are dynamic for variousactual demands.To address this,an event-oriented dynamic security service mechanism is proposed for DR.Three kinds of security services including security access service,security communication service and security analysis service for DR event are composited dynamically by the fine-grained sub services.An experiment prototype of the network of State Grid Corporation of China(SGCC) is established.Experiment and evaluations shows the feasibility and effectiveness of the proposed scheme in smart grid employing mobile network.展开更多
Advanced intelligent or ＂smart＂ meters are being deployed in Asia. A result of deployment of smart meters, with associated equipment, is the electric power industry faced with new and changing threats, vulnerabiliti...Advanced intelligent or ＂smart＂ meters are being deployed in Asia. A result of deployment of smart meters, with associated equipment, is the electric power industry faced with new and changing threats, vulnerabilities and re-evaluate traditional approaches to cyber security. Protection against emerging cyber-security threats targeting smart meter infrastructures will increase risk to both the utility and customer if not addressed within initial rollouts. This paper will discuss the issues in SMI （smart meter infrastructures） deployments that pertain to cyber security. It will cover topics such as the threats to operations, infrastructure, network and people and organization and their associated risks. SMI deployments include not only the smart meter, but also the interfaces for home energy management systems as well as communication interfaces back to the utility. Utilities must recognize and anticipate the new threat landscape that can attack and compromise the meter and the associated field network collectors. They must also include threats to the WAN （wide-area-network） backhaul networks, smart meter headends, MDMS （meter data management systems） and their interfaces to CIS （customer information systems） and billing and OMS （outage management systems）. Lessons learned from SMI implementations from North America, Europe and recently, Japan, will be discussed. How white-box and black-box testing techniques are applied to determine the threat impact to the SMI. Finally, organizational change risk will be discussed and how utilities have responded to re-organizing and developing a security governance structure for the SMI and other smart grid applications.展开更多
This thesis explores the integration of the Internet of Things(IoT)in managing smart city infrastructure,highlighting its transformative potential across various urban systems,including traffic management,energy optim...This thesis explores the integration of the Internet of Things(IoT)in managing smart city infrastructure,highlighting its transformative potential across various urban systems,including traffic management,energy optimization,and public safety.As urbanization accelerates globally,cities face mounting challenges,including traffic congestion,excessive energy consumption,and security concerns.IoT-based solutions offer data-driven approaches that leverage real-time monitoring,advanced analytics,and automated decision-making to enhance operational efficiency,promote sustainable practices,and improve quality of life for urban residents.This study examines key IoT applications,identifies infrastructure management challenges,and demonstrates the value of decision support systems(DSS)and feedback mechanisms for adaptive city management.Findings indicate that while IoT deployment poses challenges related to data interoperability,security,and scalability,the advantages it brings in predictive analytics,efficient resource management,and real-time response to urban needs make it a cornerstone for the future of sustainable cities.展开更多
Cities are incorporating smart and green infrastructure components in their urban design policies,adapting existing and new infrastructure systems to integrate technological advances to mitigate extreme weather due to...Cities are incorporating smart and green infrastructure components in their urban design policies,adapting existing and new infrastructure systems to integrate technological advances to mitigate extreme weather due to climate change.Research has illustrated that smart green infrastructure(SGI)provides not only climate change resilience but also many health and wellbeing benefits that improve the quality of life of citizens.With the growing demand for smart technology,a series of problems and challenges,including governance,privacy,and security,must be addressed.This paper explores the potential to transition from grey,green,or smart silos to work with nature-based solutions and smart technology to help change cities to achieve considerable environmental and socio-economic benefits.The concepts of grey,green,and smart infrastructure are presented,and the needs,benefits,and applications are investigated.Moreover,the advantages of using integrated smart,green nature-based solutions are discussed.A comprehensive literature review is undertaken with keyword searches,including journal papers,stakeholder and case study reports,and local authority action plans.The methodology adopts multimethod qualitative information review,including literature,case studies,expert interviews,and documentary analysis.Published data and information are analysed to capture the key concepts in implementing SGI systems,such as storm-water control,flood and coastal defense,urban waste management,transportation,recreation,and asset management.The paper investigates the elimination of silo approaches and the alleviation of the destructions caused by extreme weather events using these interdependent SGI systems supported by novel datadriven platforms to provide nature-based solutions to boost the health and wellbeing of the residents.展开更多
Underground infrastructure plays a kind of crucial role in modern production and living,especially in big cities where the ground space has been fully utilized.In the context of recent advancements in digital technolo...Underground infrastructure plays a kind of crucial role in modern production and living,especially in big cities where the ground space has been fully utilized.In the context of recent advancements in digital technology,the demand for the application of digital twin technology in underground infrastructure has become increasingly urgent as well.However,the interaction and co-integration between underground engineering entities and virtual models remain relatively limited,primarily due to the unique nature of underground engineering data and the constraints imposed by the development of information technology.This research focuses on underground engineering infrastructure and provides an overview of the application of novel information technologies.Furthermore,a comprehensive framework for digital twin implementation,which encompasses five dimensions and combines emerging technologies,has been proposed.It thereby expands the horizons of the intersection between underground engineering and digital twins.Additionally,a practical project in Wenzhou serves as a case study,where a comprehensive database covering the project’s entire life cycle has been established.The physical model is visualized,endowed with functional implications and data analysis capabilities,and integrated with the visualization platform to enable dynamic operation and maintenance management of the project.展开更多
Agents are intelligent entities that act flexibly and autonomously and make wise decisions based on their intelligence and experience.A multi-agent system(MAS)contains multiple,intelligent,and interconnected collabora...Agents are intelligent entities that act flexibly and autonomously and make wise decisions based on their intelligence and experience.A multi-agent system(MAS)contains multiple,intelligent,and interconnected collaborating agents for solving a problem beyond the ability of a single agent.A smart grid(SG)combines advanced intelligent systems,control techniques,and sensing methods with an existing utility power network.For controlling smart grids,various control systems with different architectures have already been developed.MAS-based control of power system operations has been shown to overcome the limitations of time required for analysis,relaying,and protection;transmission switching;communication protocols;and management of plant control.These systems provide an alternative for fast and accurate power network control.This paper provides a comprehensive overview of MASs used for the control of smart grids.The paper provides a wide-spectrum view of the status of smart grids,MAS-based control techniques and their implementation for the control of smart grids.Use of MASs in the control of various aspects of smart grids-including the management of energy,marketing energy,pricing,scheduling energy,reliability,network security,fault handling capability,communication between agents,SG-electrical vehicles,SG-building energy systems,and soft grids—have been critically reviewed.More than a hundred publications on the topic of MAS-based control of smart grids have been critically examined,classified,and arranged for fast reference.展开更多
基金the Deanship of Graduate Studies and Scientific Research at Qassim University for financial support(QU-APC-2025).
文摘FedCognis is a secure and scalable federated learning framework designed for continuous anomaly detection in Industrial Internet of Things-enabled Cognitive Cities(IIoTCC).It introduces two key innovations:a Quantum Secure Authentication(QSA)mechanism for adversarial defense and integrity validation,and a Self-Attention Long Short-Term Memory(SALSTM)model for high-accuracy spatiotemporal anomaly detection.Addressing core challenges in traditional Federated Learning(FL)—such as model poisoning,communication overhead,and concept drift—FedCognis integrates dynamic trust-based aggregation and lightweight cryptographic verification to ensure secure,real-time operation across heterogeneous IIoT domains including utilities,public safety,and traffic systems.Evaluated on the WUSTL-IIoTCC-2021 dataset,FedCognis achieves 94.5%accuracy,0.941 AUC for precision-recall,and 0.896 ROC-AUC,while reducing bandwidth consumption by 72%.The framework demonstrates sublinear computational complexity and a resilience score of 96.56%across six security dimensions.These results confirm FedCognis as a robust and adaptive anomaly detection solution suitable for deployment in large-scale cognitive urban infrastructures.
文摘Integrating autonomous vehicles (AVs) and autonomous parking spaces (APS) marks a transformative development in urban mobility and sustainability. This paper reflects on these technologies’ historical evolution, current interdependence, and future potential through the lens of environmental, social, and economic sustainability. Historically, parking systems evolved from manual designs to automated processes yet remained focused on convenience rather than sustainability. Presently, advancements in smart infrastructure and vehicle-to-infrastructure (V2I) communication have enabled AVs and APS to operate as a cohesive system, optimizing space, energy, and transportation efficiency. Looking ahead, the seamless integration of AVs and APS into broader smart city ecosystems promises to redefine urban landscapes by repurposing traditional parking infrastructure into multifunctional spaces and supporting renewable energy initiatives. These technologies align with global sustainability goals by mitigating emissions, reducing urban sprawl, and fostering adaptive land uses. This reflection highlights the need for collaborative efforts among stakeholders to address regulatory and technological challenges, ensuring the equitable and efficient deployment of AVs and APS for smarter, greener cities.
基金the Deanship of Scientific Research at King Saud University for funding this work through research Group No.RG-1441-331.
文摘Simulation is a powerful tool for improving,evaluating and analyzing the performance of new and existing systems.Traffic simulators provide tools for studying transportation systems in smart cities as they describe the evolution of traffic to the highest level of detail.There are many types of traffic simulators that allow simulating traffic in modern cities.The most popular traffic simulation approach is the microscopic traffic simulation because of its ability to model traffic in a realistic manner.In many cities of Saudi Arabia,traffic management represents a major challenge as a result of expansion in traffic demands and increasing number of incidents.Unfortunately,employing simulation to provide effective traffic management for local scenarios in Saudi Arabia is limited to a number of commercial products in both public and private sectors.Commercial simulators are usually expensive,closed source and inflexible as they allow limited functionalities.In this project,we developed a local traffic simulator“KSUtraffic”for traffic modeling,planning and analysis with respect to different traffic control strategies and considerations.We modeled information specified by GIS and real traffic data.Furthermore,we designed experiments that manipulate simulation parameters and the underlying area.KSUTraffic visualizes traffic and provides statistical results on the simulated traffic which would help to improve traffic management and efficiency.
基金This project was supported financially by Institution Fund projects under grant no.(IFPIP-1308-612-1442).
文摘In recent years,Smart City Infrastructures(SCI)have become familiar whereas intelligent models have been designed to improve the quality of living in smart cities.Simultaneously,anomaly detection in SCI has become a hot research topic and is widely explored to enhance the safety of pedestrians.The increasing popularity of video surveillance system and drastic increase in the amount of collected videos make the conventional physical investigation method to identify abnormal actions,a laborious process.In this background,Deep Learning(DL)models can be used in the detection of anomalies found through video surveillance systems.The current research paper develops an Internet of Things Assisted Deep Learning Enabled Anomaly Detection Technique for Smart City Infrastructures,named(IoTAD-SCI)technique.The aim of the proposed IoTAD-SCI technique is to mainly identify the existence of anomalies in smart city environment.Besides,IoTAD-SCI technique involves Deep Consensus Network(DCN)model design to detect the anomalies in input video frames.In addition,Arithmetic Optimization Algorithm(AOA)is executed to tune the hyperparameters of the DCN model.Moreover,ID3 classifier is also utilized to classify the identified objects in different classes.The experimental analysis was conducted for the proposed IoTADSCI technique upon benchmark UCSD anomaly detection dataset and the results were inspected under different measures.The simulation results infer the superiority of the proposed IoTAD-SCI technique under different metrics.
基金supported by National Natural Science Foundation of China(Grant No. 61401273 and 61431008)Doctoral Scientific Fund Project of the Ministry of Education of China(No.20130073130006)JSPS KAKENHI Grant Number 15K15976,26730056,JSPS A3 Foresight Program
文摘Equipped with millions of sensors and smart meters in smart gird,a reliable and resilient wireless communication technology is badly needed.Mobile networks are among the major energy communication networks which contribute to global energy consumption increase rapidly.As one of core technologies of smart grid employing mobile networks,Demand Response(DR) helps improving efficiency,reliability and security for electric power grid infrastructure.Security of DR events is one of the most important issues in DR.However,the security requirements of different DR events are dynamic for variousactual demands.To address this,an event-oriented dynamic security service mechanism is proposed for DR.Three kinds of security services including security access service,security communication service and security analysis service for DR event are composited dynamically by the fine-grained sub services.An experiment prototype of the network of State Grid Corporation of China(SGCC) is established.Experiment and evaluations shows the feasibility and effectiveness of the proposed scheme in smart grid employing mobile network.
文摘Advanced intelligent or ＂smart＂ meters are being deployed in Asia. A result of deployment of smart meters, with associated equipment, is the electric power industry faced with new and changing threats, vulnerabilities and re-evaluate traditional approaches to cyber security. Protection against emerging cyber-security threats targeting smart meter infrastructures will increase risk to both the utility and customer if not addressed within initial rollouts. This paper will discuss the issues in SMI （smart meter infrastructures） deployments that pertain to cyber security. It will cover topics such as the threats to operations, infrastructure, network and people and organization and their associated risks. SMI deployments include not only the smart meter, but also the interfaces for home energy management systems as well as communication interfaces back to the utility. Utilities must recognize and anticipate the new threat landscape that can attack and compromise the meter and the associated field network collectors. They must also include threats to the WAN （wide-area-network） backhaul networks, smart meter headends, MDMS （meter data management systems） and their interfaces to CIS （customer information systems） and billing and OMS （outage management systems）. Lessons learned from SMI implementations from North America, Europe and recently, Japan, will be discussed. How white-box and black-box testing techniques are applied to determine the threat impact to the SMI. Finally, organizational change risk will be discussed and how utilities have responded to re-organizing and developing a security governance structure for the SMI and other smart grid applications.
文摘This thesis explores the integration of the Internet of Things(IoT)in managing smart city infrastructure,highlighting its transformative potential across various urban systems,including traffic management,energy optimization,and public safety.As urbanization accelerates globally,cities face mounting challenges,including traffic congestion,excessive energy consumption,and security concerns.IoT-based solutions offer data-driven approaches that leverage real-time monitoring,advanced analytics,and automated decision-making to enhance operational efficiency,promote sustainable practices,and improve quality of life for urban residents.This study examines key IoT applications,identifies infrastructure management challenges,and demonstrates the value of decision support systems(DSS)and feedback mechanisms for adaptive city management.Findings indicate that while IoT deployment poses challenges related to data interoperability,security,and scalability,the advantages it brings in predictive analytics,efficient resource management,and real-time response to urban needs make it a cornerstone for the future of sustainable cities.
文摘Cities are incorporating smart and green infrastructure components in their urban design policies,adapting existing and new infrastructure systems to integrate technological advances to mitigate extreme weather due to climate change.Research has illustrated that smart green infrastructure(SGI)provides not only climate change resilience but also many health and wellbeing benefits that improve the quality of life of citizens.With the growing demand for smart technology,a series of problems and challenges,including governance,privacy,and security,must be addressed.This paper explores the potential to transition from grey,green,or smart silos to work with nature-based solutions and smart technology to help change cities to achieve considerable environmental and socio-economic benefits.The concepts of grey,green,and smart infrastructure are presented,and the needs,benefits,and applications are investigated.Moreover,the advantages of using integrated smart,green nature-based solutions are discussed.A comprehensive literature review is undertaken with keyword searches,including journal papers,stakeholder and case study reports,and local authority action plans.The methodology adopts multimethod qualitative information review,including literature,case studies,expert interviews,and documentary analysis.Published data and information are analysed to capture the key concepts in implementing SGI systems,such as storm-water control,flood and coastal defense,urban waste management,transportation,recreation,and asset management.The paper investigates the elimination of silo approaches and the alleviation of the destructions caused by extreme weather events using these interdependent SGI systems supported by novel datadriven platforms to provide nature-based solutions to boost the health and wellbeing of the residents.
基金support was received from the Top Discipline Plan of Shanghai Universities-Class I(Grant No.2022-3-YB-02)the Science and Technology Program of Shanghai,China(Scientific and Technological Innovation Action Plan,Grant No.22692195500).
文摘Underground infrastructure plays a kind of crucial role in modern production and living,especially in big cities where the ground space has been fully utilized.In the context of recent advancements in digital technology,the demand for the application of digital twin technology in underground infrastructure has become increasingly urgent as well.However,the interaction and co-integration between underground engineering entities and virtual models remain relatively limited,primarily due to the unique nature of underground engineering data and the constraints imposed by the development of information technology.This research focuses on underground engineering infrastructure and provides an overview of the application of novel information technologies.Furthermore,a comprehensive framework for digital twin implementation,which encompasses five dimensions and combines emerging technologies,has been proposed.It thereby expands the horizons of the intersection between underground engineering and digital twins.Additionally,a practical project in Wenzhou serves as a case study,where a comprehensive database covering the project’s entire life cycle has been established.The physical model is visualized,endowed with functional implications and data analysis capabilities,and integrated with the visualization platform to enable dynamic operation and maintenance management of the project.
文摘Agents are intelligent entities that act flexibly and autonomously and make wise decisions based on their intelligence and experience.A multi-agent system(MAS)contains multiple,intelligent,and interconnected collaborating agents for solving a problem beyond the ability of a single agent.A smart grid(SG)combines advanced intelligent systems,control techniques,and sensing methods with an existing utility power network.For controlling smart grids,various control systems with different architectures have already been developed.MAS-based control of power system operations has been shown to overcome the limitations of time required for analysis,relaying,and protection;transmission switching;communication protocols;and management of plant control.These systems provide an alternative for fast and accurate power network control.This paper provides a comprehensive overview of MASs used for the control of smart grids.The paper provides a wide-spectrum view of the status of smart grids,MAS-based control techniques and their implementation for the control of smart grids.Use of MASs in the control of various aspects of smart grids-including the management of energy,marketing energy,pricing,scheduling energy,reliability,network security,fault handling capability,communication between agents,SG-electrical vehicles,SG-building energy systems,and soft grids—have been critically reviewed.More than a hundred publications on the topic of MAS-based control of smart grids have been critically examined,classified,and arranged for fast reference.
