The Experts below are selected from a list of 219 Experts worldwide ranked by ideXlab platform
Han-chieh Chao - One of the best experts on this subject based on the ideXlab platform.
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human behavior deep recognition architecture for Smart City applications in the 5g environment
IEEE Network, 2019Co-Authors: Cheng Dai, Xingang Liu, Jinfeng Lai, Han-chieh ChaoAbstract:Human behavior recognition (HBR), as a critical link for further intelligent and real-time Smart City application design, has attracted much more attention in recent years. Although the related technologies have been developed rapidly and many solid achievements have been already obtained, there is still a lot of space to deeply enhance the related research including the recognition structures, algorithms, and so on, to meet the increasing requirements of Smart City construction. In this article, we first review the conventional HBR structure, and analyze the problems and challenges for Future Smart City applications. Then a parallel and multi-layer deep recognition architecture (PMDRA) is discussed, which could have more powerful and ubiquitous feature extraction ability because of the hierarchical utilization of the deep learning network. Meanwhile, the quantity adjustment mechanism for DRUs and DLNUs could help for designing the actual architecture according to the requirements of real scenarios.
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Cooperative Fog Computing for Dealing with Big Data in the Internet of Vehicles: Architecture and Hierarchical Resource Management
IEEE Communications Magazine, 2017Co-Authors: Wenyu Zhang, Zhenjiang Zhang, Han-chieh ChaoAbstract:As vehicle applications, mobile devices and the Internet of Things are growing fast, and devel- oping an efficient architecture to deal with the big data in the Internet of Vehicles (IoV) has been an important concern for the Future Smart City. To overcome the inherent defect of centralized data processing in cloud computing, fog computing has been proposed by offloading computation tasks to local fog servers (LFSs). By considering factors like latency, mobility, localization, and scal- ability, this article proposes a regional cooper- ative fog-computing-based intelligent vehicular network (CFC-IoV) architecture for dealing with big IoV data in the Smart City. Possible services for IoV applications are discussed, including mobility control, multi-source data acquisition, distribut- ed computation and storage, and multi-path data transmission. A hierarchical model with intra-fog and inter-fog resource management is presented, and energy efficiency and packet dropping rates of LFSs in CFC-IoV are optimized. IntroductIon
Jun Lu - One of the best experts on this subject based on the ideXlab platform.
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Secure Framework for Future Smart City
2017 IEEE 4th International Conference on Cyber Security and Cloud Computing (CSCloud), 2017Co-Authors: H Djigal, Fu Jun, Jun LuAbstract:With the recent advancements in the information and communication technologies, large number of devices are connecting to the Internet, hence large volumes of data in different formats and from different sources are generating. Consequently, on one hand dynamic and heterogeneous data sharing and management, in the ecosystem of Internet of Things (IoT), where every Smart object is connected to Internet, presents new research challenges. On the other hand, citizen privacy preserving is another challenge, because he/she has to send his/her information to a service provider, to obtain the required information. This information is sensitive since it can reveal information about an individual. An attacker or a malicious service provider can utilize this sensitive information for their own business or something else. This paper presents a Secure Framework for Future Smart City (SEFSCity), for better City living and governance, based on Cloud Computing IoT and Distributed Computing. We first present the architecture of SEFSCity, which is based on Multi-Cloud and Cloud Federation approach; then we propose a security protocol for our framework. In our security model, we use Zero-Knowledge Protocol based on Elliptic Curve Discrete Logarithm Problem. Finally, we validate our architecture by conducting several scenarios that we have implemented using Cloud Analyst tool. The results show that in all scenarios, the cost infrastructure remains the same for the cloud customer, and our approach is benefic for the cloud provider in term of revenues and data processing time.
Daniela Nicklas - One of the best experts on this subject based on the ideXlab platform.
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Challenges and Design Goals for an Architecture of a Privacy-preserving Smart City Lab
Datenbank-Spektrum, 2016Co-Authors: Simon Steuer, Aboubakr Benabbas, Nasr Kasrin, Daniela NicklasAbstract:In the domain of so-called Smart cities, ICT technologies play a vital role to improve life quality and resource efficiency in Future cities. Many Smart City applications depend on sensor data – live data for real-time reaction or stored data for analysis and optimization – to measure City-wide processes like mobility, energy consumption and energy production, or environmental factors like City climate or air quality. To realize such Future Smart City applications, we face many challenges, including data integration from heterogeneous sensor systems, poor or unknown sensor data quality, effective and efficient management of big sensor data volumes, as well as support the development of mobile and/or analytical applications that use that data. The Bamberg Smart City Lab will provide an Open Data testbed for research and evaluation of sensor-based applications in Smart cities. In this paper, we focus particularly on the challenge of privacy: how can we set up long-running City-wide sensor campaigns and share the data without compromising the citizen’s privacy? A fundamental aspect in our current approach is to understand and incorporate the Privacy by Design (PbD) guidelines. We apply them to our specific requirements and develop a privacy-preserving architecture. To do this we evaluate and incorporate the integration of different state-of-the art privacy methods to reduce the risk of leaks to a minimum, especially in the field of online publication of data sets.
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Challenges and Design Goals for an Architecture of a Privacy-preserving Smart City Lab
Datenbank-spektrum, 2016Co-Authors: Simon Steuer, Aboubakr Benabbas, Nasr Kasrin, Daniela NicklasAbstract:In the domain of so-called Smart cities, ICT technologies play a vital role to improve life quality and resource efficiency in Future cities. Many Smart City applications depend on sensor data – live data for real-time reaction or stored data for analysis and optimization – to measure City-wide processes like mobility, energy consumption and energy production, or environmental factors like City climate or air quality. To realize such Future Smart City applications, we face many challenges, including data integration from heterogeneous sensor systems, poor or unknown sensor data quality, effective and efficient management of big sensor data volumes, as well as support the development of mobile and/or analytical applications that use that data. The Bamberg Smart City Lab will provide an Open Data testbed for research and evaluation of sensor-based applications in Smart cities. In this paper, we focus particularly on the challenge of privacy: how can we set up long-running City-wide sensor campaigns and share the data without compromising the citizen’s privacy? A fundamental aspect in our current approach is to understand and incorporate the Privacy by Design (PbD) guidelines. We apply them to our specific requirements and develop a privacy-preserving architecture. To do this we evaluate and incorporate the integration of different state-of-the art privacy methods to reduce the risk of leaks to a minimum, especially in the field of online publication of data sets.
H Djigal - One of the best experts on this subject based on the ideXlab platform.
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Secure Framework for Future Smart City
2017 IEEE 4th International Conference on Cyber Security and Cloud Computing (CSCloud), 2017Co-Authors: H Djigal, Fu Jun, Jun LuAbstract:With the recent advancements in the information and communication technologies, large number of devices are connecting to the Internet, hence large volumes of data in different formats and from different sources are generating. Consequently, on one hand dynamic and heterogeneous data sharing and management, in the ecosystem of Internet of Things (IoT), where every Smart object is connected to Internet, presents new research challenges. On the other hand, citizen privacy preserving is another challenge, because he/she has to send his/her information to a service provider, to obtain the required information. This information is sensitive since it can reveal information about an individual. An attacker or a malicious service provider can utilize this sensitive information for their own business or something else. This paper presents a Secure Framework for Future Smart City (SEFSCity), for better City living and governance, based on Cloud Computing IoT and Distributed Computing. We first present the architecture of SEFSCity, which is based on Multi-Cloud and Cloud Federation approach; then we propose a security protocol for our framework. In our security model, we use Zero-Knowledge Protocol based on Elliptic Curve Discrete Logarithm Problem. Finally, we validate our architecture by conducting several scenarios that we have implemented using Cloud Analyst tool. The results show that in all scenarios, the cost infrastructure remains the same for the cloud customer, and our approach is benefic for the cloud provider in term of revenues and data processing time.
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CSCloud - Secure Framework for Future Smart City
2017 IEEE 4th International Conference on Cyber Security and Cloud Computing (CSCloud), 2017Co-Authors: H Djigal, Feng JunAbstract:With the recent advancements in the information and communication technologies, large number of devices are connecting to the Internet, hence large volumes of data in different formats and from different sources are generating. Consequently, on one hand dynamic and heterogeneous data sharing and management, in the ecosystem of Internet of Things (IoT), where every Smart object is connected to Internet, presents new research challenges. On the other hand, citizen privacy preserving is another challenge, because he/she has to send his/her information to a service provider, to obtain the required information. This information is sensitive since it can reveal information about an individual. An attacker or a malicious service provider can utilize this sensitive information for their own business or something else. This paper presents a Secure Framework for Future Smart City (SEFSCity), for better City living and governance, based on Cloud Computing IoT and Distributed Computing. We first present the architecture of SEFSCity, which is based on Multi-Cloud and Cloud Federation approach; then we propose a security protocol for our framework. In our security model, we use Zero-Knowledge Protocol based on Elliptic Curve Discrete Logarithm Problem. Finally, we validate our architecture by conducting several scenarios that we have implemented using Cloud Analyst tool. The results show that in all scenarios, the cost infrastructure remains the same for the cloud customer, and our approach is benefic for the cloud provider in term of revenues and data processing time
Michel Kadoch - One of the best experts on this subject based on the ideXlab platform.
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UAV Network and IoT in the Sky for Future Smart Cities
IEEE Network, 2019Co-Authors: Xuetian Zhu, Ge Mang, Michel KadochAbstract:The paradigm of Smart cities links the industry of telecommunications directly to sustainable economic growth and high quality of life. To meet this trend, this article develops a 5G IoT network with UAVs for Future Smart City architecture. We particularly emphasize IoT in the sky in a bid to unify the global world via heterogeneous Smart devices through 3D connectivity. In our design, UAVs form a 5G hierarchical IoT network in the sky by connecting to a number of base stations on the ground. Simulation results reveal that the leader UAV has a significant impact on the performance of the whole system, and the proposed approach has an obvious advantage over the existing ones.
