The Experts below are selected from a list of 8067 Experts worldwide ranked by ideXlab platform
Kim-kwang Raymond Choo - One of the best experts on this subject based on the ideXlab platform.
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Vehicular Fog Computing: Architecture, Use Case, and Security and Forensic Challenges
IEEE Communications Magazine, 2017Co-Authors: Cheng Huang, Rongxing Lu, Kim-kwang Raymond ChooAbstract:Vehicular Fog Computing extends the Fog Computing paradigm to conventional vehicular networks. This allows us to support more ubiquitous vehicles, achieve better communication efficiency, and address limitations in conventional vehicular networks in terms of latency, location awareness, and real-time response (typically required in smart traffic control, driving safety applications, entertainment services, and other applications). Such requirements are particularly important in adversarial environments (e.g., urban warfare and battlefields in the Internet of Battlefield Things involving military vehicles). However, there is no one widely accepted definition for vehicular Fog Computing and use cases. Thus, in this article, we formalize the vehicular Fog Computing architecture and present a typical use case in vehicular Fog Computing. Then we discuss several key security and forensic challenges and potential solutions.
Chunming Rong - One of the best experts on this subject based on the ideXlab platform.
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Fog Computing for Realizing Smart Neighborhoods in Smart Grids
Computers, 2020Co-Authors: Rituka Jaiswal, Reggie Davidrajuh, Chunming RongAbstract:Cloud Computing provides on-demand Computing services like software, networking, storage, analytics, and intelligence over the Internet (“the cloud”). But it is facing challenges because of the explosion of the Internet of Things (IoT) devices and the volume, variety, veracity and velocity of the data generated by these devices. There is a need for ultra-low latency, reliable service along with security and privacy. Fog Computing is a promising solution to overcome these challenges. The originality, scope and novelty of this paper is the definition and formulation of the problem of smart neighborhoods in context of smart grids. This is achieved through an extensive literature study, firstly on Fog Computing and its foundation technologies, its applications and the literature review of Fog Computing research in various application domains. Thereafter, we introduce smart grid and community MicroGrid concepts and, their challenges to give the in depth background of the problem and hence, formalize the problem. The smart grid, which ensures reliable, secure, and cost-effective power supply to the smart neighborhoods, effectively needs Fog Computing architecture to achieve its purpose. This paper also identifies, without rigorous analysis, potential solutions to address the problem of smart neighborhoods. The challenges in the integration of Fog Computing and smart grids are also discussed.
Athanasios V. Vasilakos - One of the best experts on this subject based on the ideXlab platform.
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Fog Computing for Sustainable Smart Cities: A Survey
ACM Computing Surveys, 2017Co-Authors: Charith Perera, Yongrui Qin, Julio Cezar Estrella, Stephan Reiff-marganiec, Athanasios V. VasilakosAbstract:The Internet of Things (IoT) aims to connect billions of smart objects to the Internet, which can bring a promising future to smart cities. These objects are expected to generate large amounts of data and send the data to the cloud for further processing, especially for knowledge discovery, in order that appropriate actions can be taken. However, in reality sensing all possible data items captured by a smart object and then sending the complete captured data to the cloud is less useful. Further, such an approach would also lead to resource wastage (e.g., network, storage, etc.). The Fog (Edge) Computing paradigm has been proposed to counterpart the weakness by pushing processes of knowledge discovery using data analytics to the edges. However, edge devices have limited computational capabilities. Due to inherited strengths and weaknesses, neither Cloud Computing nor Fog Computing paradigm addresses these challenges alone. Therefore, both paradigms need to work together in order to build a sustainable IoT infrastructure for smart cities. In this article, we review existing approaches that have been proposed to tackle the challenges in the Fog Computing domain. Specifically, we describe several inspiring use case scenarios of Fog Computing, identify ten key characteristics and common features of Fog Computing, and compare more than 30 existing research efforts in this domain. Based on our review, we further identify several major functionalities that ideal Fog Computing platforms should support and a number of open challenges toward implementing them, to shed light on future research directions on realizing Fog Computing for building sustainable smart cities.
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Fog Computing for Sustainable Smart Cities: A Survey
arXiv: Networking and Internet Architecture, 2017Co-Authors: Charith Perera, Yongrui Qin, Julio Cezar Estrella, Stephan Reiff-marganiec, Athanasios V. VasilakosAbstract:The Internet of Things (IoT) aims to connect billions of smart objects to the Internet, which can bring a promising future to smart cities. These objects are expected to generate large amounts of data and send the data to the cloud for further processing, specially for knowledge discovery, in order that appropriate actions can be taken. However, in reality sensing all possible data items captured by a smart object and then sending the complete captured data to the cloud is less useful. Further, such an approach would also lead to resource wastage (e.g. network, storage, etc.). The Fog (Edge) Computing paradigm has been proposed to counterpart the weakness by pushing processes of knowledge discovery using data analytics to the edges. However, edge devices have limited computational capabilities. Due to inherited strengths and weaknesses, neither Cloud Computing nor Fog Computing paradigm addresses these challenges alone. Therefore, both paradigms need to work together in order to build an sustainable IoT infrastructure for smart cities. In this paper, we review existing approaches that have been proposed to tackle the challenges in the Fog Computing domain. Specifically, we describe several inspiring use case scenarios of Fog Computing, identify ten key characteristics and common features of Fog Computing, and compare more than 30 existing research efforts in this domain. Based on our review, we further identify several major functionalities that ideal Fog Computing platforms should support and a number of open challenges towards implementing them, so as to shed light on future research directions on realizing Fog Computing for building sustainable smart cities.
Mithun Mukherjee - One of the best experts on this subject based on the ideXlab platform.
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Survey of Fog Computing: Fundamental, Network Applications, and Research Challenges
IEEE Communications Surveys & Tutorials, 2018Co-Authors: Mithun Mukherjee, Lei Shu, D. WangAbstract:Fog Computing is an emerging paradigm that extends computation, communication, and storage facilities towards the edge of a network. Compared to traditional cloud Computing, Fog Computing can support delay-sensitive service requests from End-Users (EUs) with reduced energy consumption and low traffic congestion. Basically, Fog networks are viewed as offloading to core computation and storage. Fog nodes in Fog Computing decide to either process the services using its available resource or send to the cloud server. Thus, Fog Computing helps to achieve efficient resource utilization and higher performance regarding the delay, bandwidth, and energy consumption. This survey starts by providing an overview and fundamental of Fog Computing architecture. Furthermore, service and resource allocation approaches are summarized to address several critical issues such as latency, and bandwidth, and energy consumption in Fog Computing. Afterward, compared to other surveys, this paper provides an extensive overview of state-of-the-art network applications and major research aspects to design these networks. In addition, this study highlights ongoing research effort, open challenges, and research trends in Fog Computing.
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Security and Privacy in Fog Computing: Challenges
IEEE Access, 2017Co-Authors: Mithun Mukherjee, Rakesh Matam, Nikumani Choudhury, Mohamed Amine Ferrag, Leandros Maglaras, Lei Shu, Vikas KumarAbstract:Fog Computing paradigm extends the storage, networking, and Computing facilities of the cloud Computing toward the edge of the networks while offloading the cloud data centers and reducing service latency to the end users. However, the characteristics of Fog Computing arise new security and privacy challenges. The existing security and privacy measurements for cloud Computing cannot be directly applied to the Fog Computing due to its features, such as mobility, heterogeneity, and large-scale geo-distribution. This paper provides an overview of existing security and privacy concerns, particularly for the Fog Computing. Afterward, this survey highlights ongoing research effort, open challenges, and research trends in privacy and security issues for Fog Computing.
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Security and Privacy in Fog Computing: Challenges
IEEE Access, 2017Co-Authors: Mithun Mukherjee, Rakesh Matam, Nikumani Choudhury, Mohamed Amine Ferrag, Leandros Maglaras, Lei Shu, Vikas KumarAbstract:open access articleFog Computing paradigm extends the storage, networking, and Computing facilities of the cloud Computing toward the edge of the networks while offloading the cloud data centers and reducing service latency to the end users. However, the characteristics of Fog Computing arise new security and privacy challenges. The existing security and privacy measurements for cloud Computing cannot be directly applied to the Fog Computing due to its features, such as mobility, heterogeneity, and large-scale geo-distribution. This paper provides an overview of existing security and privacy concerns, particularly for the Fog Computing. Afterward, this survey highlights ongoing research effort, open challenges, and research trends in privacy and security issues for Fog Computing
Cheng Huang - One of the best experts on this subject based on the ideXlab platform.
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Vehicular Fog Computing: Architecture, Use Case, and Security and Forensic Challenges
IEEE Communications Magazine, 2017Co-Authors: Cheng Huang, Rongxing Lu, Kim-kwang Raymond ChooAbstract:Vehicular Fog Computing extends the Fog Computing paradigm to conventional vehicular networks. This allows us to support more ubiquitous vehicles, achieve better communication efficiency, and address limitations in conventional vehicular networks in terms of latency, location awareness, and real-time response (typically required in smart traffic control, driving safety applications, entertainment services, and other applications). Such requirements are particularly important in adversarial environments (e.g., urban warfare and battlefields in the Internet of Battlefield Things involving military vehicles). However, there is no one widely accepted definition for vehicular Fog Computing and use cases. Thus, in this article, we formalize the vehicular Fog Computing architecture and present a typical use case in vehicular Fog Computing. Then we discuss several key security and forensic challenges and potential solutions.
