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  • Front Cover
    IEEE Netw. (IF 8.808) Pub Date : 2020-07-22

    Presents the front cover for this issue of the publication.

    更新日期:2020-07-24
  • Cover 2
    IEEE Netw. (IF 8.808) Pub Date : 2020-07-22

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    更新日期:2020-07-24
  • Table of Contents
    IEEE Netw. (IF 8.808) Pub Date : 2020-07-22

    Presents the front cover for this issue of the publication.

    更新日期:2020-07-24
  • Comsoc Conferences
    IEEE Netw. (IF 8.808) Pub Date : 2020-07-22

    Presents a listing of upcoming ComSoc conferences.

    更新日期:2020-07-24
  • Scanning the Literature
    IEEE Netw. (IF 8.808) Pub Date : 2020-07-22
    Xiaohua Tian

    Presents concise summaries of selected papers that are recently published in the field of networking. Each summary describes the paper's main idea, methodology, and technical contributions. The purpose of the column is to bring the state of the art of networking research to readers of IEEE Network. Authors are also welcome to recommend their recently published work to the column, and papers with novel

    更新日期:2020-07-24
  • Big Data Intelligent Networking
    IEEE Netw. (IF 8.808) Pub Date : 2020-07-22
    Ruidong Li; Houbing Song; Jiannong Cao; Payam Barnaghi; Jie Li; Constandinos X. Mavromoustakis

    The thirteen articles in this special section focus on big data analytics for intelligent networking. The Internet of Things (IoT) is likely to have a significant impact on human lives as new services and applications are developed through integration of the physical and digital worlds. IoT is an umbrella term referring to a large number of sensing and actuation devices connected to the Internet. The

    更新日期:2020-07-24
  • Edge QoE: Intelligent Big Data Caching via Deep Reinforcement Learning
    IEEE Netw. (IF 8.808) Pub Date : 2020-07-22
    Xiaoming He; Kun Wang; Haodong Lu; Wenyao Xu; Song Guo

    In mobile edge networks (MENs), big data caching services are expected to provide mobile users with better quality of experience (QoE) than normal scenarios. However, the increasing types of sensors and devices are producing an explosion of big data. Extracting valuable contents for caching is becoming a vital issue for the satisfaction of QoE. Therefore, it is urgent to propose some rational strategies

    更新日期:2020-07-24
  • Edge Intelligence Assisted Gateway Defense in Cyber Security
    IEEE Netw. (IF 8.808) Pub Date : 2020-07-22
    Shengjie Xu; Yi Qian; Rose Qingyang Hu

    Advanced persistent threat, network intrusions and anomalies, and invasions of location and data privacy are constantly violating edge networks, disturbing guaranteed services, and further destroying critical end devices and cyberinfrastructure. Edge gateway defense against malicious cyber threats and privacy leakage for a multitude of connected physical devices remains a significant problem. Edge

    更新日期:2020-07-24
  • Optimizing Feature Selection for Efficient Encrypted Traffic Classification: A Systematic Approach
    IEEE Netw. (IF 8.808) Pub Date : 2020-07-22
    Meng Shen; Yiting Liu; Liehuang Zhu; Ke Xu; Xiaojiang Du; Nadra Guizani

    Traffic classification is a technology for classifying and identifying sensitive information from cluttered traffic. With the increasing use of encryption and other evasion technologies, traditional content- based network traffic classification becomes impossible, and traffic classification is increasingly related to security and privacy. Many studies have been conducted to investigate traffic classification

    更新日期:2020-07-24
  • Congestion Control in SDN-Based Networks via Multi-Task Deep Reinforcement Learning
    IEEE Netw. (IF 8.808) Pub Date : 2020-07-22
    Kai Lei; Yuzhi Liang; Wei Li

    Congestion control is a fundamental network task that modulates the data transmission rates of traffic sources to efficiently utilize network capacity. With the advent of machine learning, congestion control based on deep reinforcement learning is the subject of extensive attention. At present, research on machine-learning-based congestion control is mainly focused on single-task scenarios -- to design

    更新日期:2020-07-24
  • MPTCP Meets Big Data: Customizing Transmission Strategy for Various Data Flows
    IEEE Netw. (IF 8.808) Pub Date : 2020-07-22
    Yitao Xing; Jiangping Han; Kaiping Xue; Jianqing Liu; Miao Pan; Peilin Hong

    In recent years, network transmission carries big data of various types and sizes, which often have different transmission requirements. Transmission of data brings challenges to traditional transport layer protocols; meanwhile, performance improvements at endpoints and networks provide opportunities for new transport protocol design. Among the new designed transport layer protocols, multipath TCP

    更新日期:2020-07-24
  • A Community Detection Method Based on Local Optimization in Social Networks
    IEEE Netw. (IF 8.808) Pub Date : 2020-07-22
    Guangxia Xu; Xinkai Wu; Jun Liu; Yanbing Liu

    Social networks are a kind of communal structure composed of many nodes according to different kinds of relationships. Community detection can help people understand the topology of a network and identify meaningful clusters. A large variety of community detection algorithms have been proposed. However, many of these algorithms are suitable for unweighted networks since they ignore the social properties

    更新日期:2020-07-24
  • Intelligent Post-Disaster Networking by Exploiting Crowd Big Data
    IEEE Netw. (IF 8.808) Pub Date : 2020-07-22
    Xiaoyan Wang; Fangzhou Jiang; Lei Zhong; Yusheng Ji; Shigeki Yamada; Kiyoshi Takano; Guoliang Xue

    A major disaster would damage the communication infrastructure severely, resulting in further chaos and loss in the disaster stricken area. Rapid restoration of wireless/mobile communications is one of the most critical issues for disaster response. Wireless multihop networking by deploying low-cost relays is a promising solution to effectively extend network services to people in the disrupted areas

    更新日期:2020-07-24
  • Big Data for 5G Intelligent Network Slicing Management
    IEEE Netw. (IF 8.808) Pub Date : 2020-07-22
    Hatim Chergui; Christos Verikoukis

    Network slicing is a powerful tool to harness the full potential of 5G systems. It allows verticals to own and exploit independent logical networks on top of the same physical infrastructure. Motivated by the emergence of the big data paradigm, this article focuses on the enablers of big-databased intelligent network slicing. The article starts by revisiting the architecture of this technology that

    更新日期:2020-07-24
  • Blockchain-Based Sharing and Tamper-Proof Framework of Big Data Networking
    IEEE Netw. (IF 8.808) Pub Date : 2020-07-22
    Jiachen Yang; Jiabao Wen; Bin Jiang; Huihui Wang

    With the development of information technology, big data has had a positive impact on the development of various industries. However, the continued growth of data has led to difficulties in data sharing. Blockchain, with its information sharing characteristics and decentralized management principles, is expected to become the new engine for building a future data sharing platform. Blockchain-based

    更新日期:2020-07-24
  • Shadow-Chain: A Decentralized Storage System for Log Data
    IEEE Netw. (IF 8.808) Pub Date : 2020-07-22
    Feng Lu; Wei Li; Hai Jin; Lu Gan; Albert Y. Zomaya

    Better use of personal health and clinical data from different stakeholders is essential and highly significant. However, the sharing of such data could easily raise concerns over preserving personal privacy, particularly when the risk of disclosure is uncertain. To tackle this issue, shadow- chain, a decentralized storage system for log data based on blockchain, is proposed for realizing data sharing

    更新日期:2020-07-24
  • Comsoc Magazines
    IEEE Netw. (IF 8.808) Pub Date : 2020-07-22

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  • ID-Based SDN for the Internet of Things
    IEEE Netw. (IF 8.808) Pub Date : 2020-07-22
    Xiaoliang Wang; Ke Xu; Wenlong Chen; Qi Li; Meng Shen; Bo Wu

    The rapid development of the Internet of Things (IoT) has made impressive achievements, raising a heated discussion about IoT big data, in which data security and privacy issues are key concerns. Due to the ubiquity of IoT, IoT big data has not only brought convenience to people's daily lives, but also increased the potential attack surfaces for cybercriminals. At the same time, considering the characteristics

    更新日期:2020-07-24
  • Protecting Machine Learning Integrity in Distributed Big Data Networking
    IEEE Netw. (IF 8.808) Pub Date : 2020-07-22
    Yunkai Wei; Yijin Chen; Mingyue Xiao; Sabita Maharjan; Yan Zhang

    A distributed big data network is the integration of big data and the underlying distributed network. This emerging paradigm brings the potential to divide big data processing tasks into smaller ones so that they can be intelligently processed in parallel with machine learning based on distributed network resources. Such a pattern requires strict system integrity, especially machine learning integrity

    更新日期:2020-07-24
  • Reliability for Smart Healthcare: A Network Slicing Perspective
    IEEE Netw. (IF 8.808) Pub Date : 2020-07-22
    Andressa Vergutz; Guevara Noubir; Michele Nogueira

    Pursuing improvements in the healthcare system is mandatory for its efficiency and cost reduction. The fast popularization of implantable and wearable sensors promotes the diversity of healthcare applications and services, ranging from real-time and critical care monitoring to telemedicine. For smart healthcare (s-health), reliability plays an essential role, given the sensitivity of its data and services

    更新日期:2020-07-24
  • B5G and Explainable Deep Learning Assisted Healthcare Vertical at the Edge: COVID-I9 Perspective
    IEEE Netw. (IF 8.808) Pub Date : 2020-07-08
    Md. Abdur Rahman; M. Shamim Hossain; Nabil A. Alrajeh; Nadra Guizani

    B5G-based tactile edge learning shows promise as a solution to handle infectious diseases such as COVID-19 at a global level. By leveraging edge computing with the 5G RAN, management of epidemic diseases such as COVID-19 can be conducted efficiently. Deploying a hierarchical edge computing architecture offers several benefits such as scalability, low latency, and privacy for the data and the training

    更新日期:2020-07-24
  • Internet of Things for Noise Mapping in Smart Cities: State of the Art and Future Directions
    IEEE Netw. (IF 8.808) Pub Date : 2020-06-05
    Ye Liu; Xiaoyuan Ma; Lei Shu; Qing Yang; Yu Zhang; Zhiqiang Huo; Zhangbing Zhou

    Noise pollution has been an issue since ancient times. Recently, this problem has been exacerbated due to rapid population growth and urbanization. Noise mapping is a strategic action plan that visualizes the long-term and real-time noise pollution of our cities, industrial sites, and other regions of interest. This article first discusses the working principle of general model-based noise mapping

    更新日期:2020-07-24
  • Security Against Rank Attack in RPL Protocol
    IEEE Netw. (IF 8.808) Pub Date : 2020-07-22
    Mohammed Amine Boudouaia; Adda Ali-Pacha; Abdelhafid Abouaissa; Pascal Lorenz

    The Routing Protocol for Low Power and Lossy Networks (RPL) is experiencing a wave of security threats, due to the need of its utility in the Internet of Things (IoT). RPL is so far considered as one of the most utilized routing protocols in new IoT applications, which is one of the reasons the latter may lead to confronting challenges later on. In other words, security is thus the primary interest

    更新日期:2020-07-24
  • Explainable AI and Mass Surveillance System-Based Healthcare Framework to Combat COVID-I9 Like Pandemics
    IEEE Netw. (IF 8.808) Pub Date : 2020-07-08
    M. Shamim Hossain; Ghulam Muhammad; Nadra Guizani

    Tactile edge technology that focuses on 5G or beyond 5G reveals an exciting approach to control infectious diseases such as COVID-19 internationally. The control of epidemics such as COVID-19 can be managed effectively by exploiting edge computation through the 5G wireless connectivity network. The implementation of a hierarchical edge computing system provides many advantages, such as low latency

    更新日期:2020-07-24
  • A Blockchain-Based Computing Architecture for Mobile Ad Hoc Cloud
    IEEE Netw. (IF 8.808) Pub Date : 2020-06-05
    Zhenzhen Jiao; Baoxian Zhang; Li Zhang; Min Liu; Wei Gong; Cheng Li

    Mobile ad-hoc cloud can exploit the computing resources (e.g., smartphones, vehicles, and unmanned systems) scattered in the mobile environment to form a self-organized ad-hoc local resource pool for providing opportunistic computing services. However, the highly dynamic and distributed characteristics of the mobile ad-hoc network environment bring great challenges in privacy and security in such opportunistic

    更新日期:2020-07-24
  • Blockchain-Incentivized D2D and Mobile Edge Caching: A Deep Reinforcement Learning Approach
    IEEE Netw. (IF 8.808) Pub Date : 2020-07-08
    Ran Zhang; F. Richard Yu; Jiang Liu; Renchao Xie; Tao Huang

    D2D caching assists mobile edge caching in offloading inter-domain traffic by sharing cached items with nearby users, while its performance relies heavily on caching nodes' sharing willingness. In this article, a Blockchain-based CDM is proposed as an incentive mechanism for the distributed caching system. Under given incentive mechanisms, both D2D and mobile edge caching nodes' willingness is guaranteed

    更新日期:2020-07-24
  • Securing Cyberspace of Future Smart Cities with 5G Technologies
    IEEE Netw. (IF 8.808) Pub Date : 2020-07-08
    Adnan Akhunzada; Saif ul Islam; Sherali Zeadally

    Future smart cities promise to dramatically improve the quality of life and have been attracting the attention of many researchers in recent years. The integration of IoT with their corresponding service delivery models to manage a city's asset securely remains a significant challenge. The deployment of diverse IoT technologies and several architectural components and novel entities of emerging ICT

    更新日期:2020-07-24
  • Cover 3
    IEEE Netw. (IF 8.808) Pub Date : 2020-07-22

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  • Cover 4
    IEEE Netw. (IF 8.808) Pub Date : 2020-07-22

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    更新日期:2020-07-24
  • Front Cover
    IEEE Netw. (IF 8.808) Pub Date : 2020-06-02

    Presents the front cover for this issue of the publication.

    更新日期:2020-06-02
  • Cover 2
    IEEE Netw. (IF 8.808) Pub Date : 2020-06-02

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    更新日期:2020-06-02
  • Table of Contents
    IEEE Netw. (IF 8.808) Pub Date : 2020-06-02

    Presents the table of contents for this issue of the publication.

    更新日期:2020-06-02
  • Comsoc Membership
    IEEE Netw. (IF 8.808) Pub Date : 2020-06-02

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    更新日期:2020-06-02
  • Scanning the Literature
    IEEE Netw. (IF 8.808) Pub Date : 2020-06-02
    Xiaohua Tian

    Presents concise summaries of selected papers that are recently published in the field of networking. Each summary describes the paper's main idea, methodology, and technical contributions. The purpose of the column is to bring the state of the art of networking research to readers of IEEE Network. Authors are also welcome to recommend their recently published work to the column, and papers with novel

    更新日期:2020-06-02
  • Cyber Security Based on Artificial Intelligence for Cyber-Physical Systems
    IEEE Netw. (IF 8.808) Pub Date : 2020-06-02
    Hichem Sedjelmaci; Fateh Guenab; Sidi-Mohammed Senouci; Hassnaa Moustafa; Jiajia Liu; Shuai Han

    The ten papers in this special issue focus on cybersecurity for cyber-physical systems (CPSs). The systems have become very complex, more sophisticated, intelligent and autonomous. They offer very complex interaction between heterogeneous cyber and physical components; additionally to this complexity, they are exposed to important disturbances due to unintentional and intentional events which make

    更新日期:2020-06-02
  • BLCS: Brain-Like Distributed Control Security in Cyber Physical Systems
    IEEE Netw. (IF 8.808) Pub Date : 2020-06-02
    Hui Yang; Kaixuan Zhan; Michel Kadoch; Yongshen Liang; Mohamed Cheriet

    The cyber-physical system (CPS) has operated, controlled, and coordinated the physical systems integrated by a computing and communication core applied in Industry 4.0. To accommodate CPS services, fog radio and optical networks (F-RON) has become an important supporting physical cyber infrastructure taking advantage of both the inherent ubiquity of wireless technology and the large capacity of optical

    更新日期:2020-06-02
  • An Intelligent Edge-Computing-Based Method to Counter Coupling Problems in Cyber-Physical Systems
    IEEE Netw. (IF 8.808) Pub Date : 2020-06-02
    Tian Wang; Yuzhu Liang; Yi Yang; Guangquan Xu; Hao Peng; Anfeng Liu; Weijia Jia

    Cyber-physical systems (CPSs) have become more complex, more sophisticated, and more intelligent. In addition to this complexity, they have also been exposed to some important disturbances due to unintentional and intentional events since the number of cyber attacks has increased, and their behaviors have become more sophisticated. The openness, virtualization, and ubiquitous access traits of the combination

    更新日期:2020-06-02
  • Comsoc Conferences
    IEEE Netw. (IF 8.808) Pub Date : 2020-06-02

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    更新日期:2020-06-02
  • Fast Authentication and Progressive Authorization in Large-Scale IoT: How to Leverage AI for Security Enhancement
    IEEE Netw. (IF 8.808) Pub Date : 2020-06-02
    He Fang; Angie Qi; Xianbin Wang

    Security provisioning has become the most important design consideration for large-scale Internet of Things (IoT) systems due to their critical roles in supporting diverse vertical applications by connecting heterogenous devices, machines, and industry processes. Conventional authentication and authorization schemes are insufficient to overcome the emerging IoT security challenges due to their reliance

    更新日期:2020-06-02
  • Toward Integrated Virtual Emotion System with AI Applicability for Secure CPS-Enabled Smart Cities: AI-Based Research Challenges and Security Issues
    IEEE Netw. (IF 8.808) Pub Date : 2020-06-02
    Hyunbum Kim; Jalel Ben-Othman

    Cyber-physical systems (CPS) basically pursue a new form of integrated interaction with humans through computation and physical capabilities covering complex, intelligent, autonomous systems. Also, artificial intelligence (AI) is considered as a promising technology that will be applicable to numerous combined next generation applications including CPS, security, and communication in smart cities.

    更新日期:2020-06-02
  • Learning-Assisted Secure End-to-End Network Slicing for Cyber-Physical Systems
    IEEE Netw. (IF 8.808) Pub Date : 2020-06-02
    Qiang Liu; Tao Han; Nirwan Ansari

    There is a pressing need to interconnect physical systems such as power grid and vehicles for efficient management and safe operations. Due to the diverse features of physical systems, there is hardly a one-size-fits-all networking solution for developing cyber-physical systems. Network slicing is a promising technology that allows network operators to create multiple virtual networks on top of a shared

    更新日期:2020-06-02
  • Machine-Learning-Based Side-Channel Leakage Detection in Electronic System-Level Synthesis
    IEEE Netw. (IF 8.808) Pub Date : 2020-06-02
    Lu Zhang; Dejun Mu; Wei Hu; Yu Tai

    Security critical hardware devices in CPS must experience security testing including side-channel leakage detection, which aims to provide earlier assessment before coming into service. Due to the exponential nature of ESLS, performing fast and efficient leakage detection is a critical task in the context of security evaluation for DSE. However, the traditional method of leakage detection is always

    更新日期:2020-06-02
  • Federated Learning for Data Privacy Preservation in Vehicular Cyber-Physical Systems
    IEEE Netw. (IF 8.808) Pub Date : 2020-06-02
    Yunlong Lu; Xiaohong Huang; Yueyue Dai; Sabita Maharjan; Yan Zhang

    Recent developments in technologies such as MEC and AI contribute significantly in accelerating the deployment of VCPS. Techniques such as dynamic content caching, efficient resource allocation, and data sharing play a crucial role in enhancing the service quality and user driving experience. Meanwhile, data leakage in VCPS can lead to physical consequences such as endangering passenger safety and

    更新日期:2020-06-02
  • Reinforcement Learning Empowered IDPS for Vehicular Networks in Edge Computing
    IEEE Netw. (IF 8.808) Pub Date : 2020-06-02
    Muzhou Xiong; Yuepeng Li; Lin Gu; Shengli Pan; Deze Zeng; Peng Li

    As VANETs have been widely applied in various fields including entertainment and safety- related applications like autonomous driving, malicious intrusions into VANETs may lead to disastrous results. Hence, intrusion detection accuracy as well as efficiency is sensitive to the normal operation of VANETs. Regarding this, in this article we propose an architecture of IDPS for VANETs. One of the highlights

    更新日期:2020-06-02
  • Artificial-Intelligence-Based Distributed Belief Propagation and Recurrent Neural Network Algorithm for Wide-Area Monitoring Systems
    IEEE Netw. (IF 8.808) Pub Date : 2020-06-02
    Sriramya Bhamidipati; Kyeong Jin Kim; Hongbo Sun; Philip V. Orlik

    To monitor the power grid over a wide area, the wide area monitoring systems (WAMSs) has been developed. At each substation, the Global Positioning System (GPS) receiving system resides to provide trusted timing. Thus, it is critical for the WAMS to maintain authentic GPS timing over a wide area. However, GPS timing is susceptible to spoofing due to the unencrypted signal structure and its low signal

    更新日期:2020-06-02
  • Pseudonym Limitation for Privacy in Cooperative Transport Systems
    IEEE Netw. (IF 8.808) Pub Date : 2020-06-02
    Hacene Fouchal; Safia Boudra; Secil Ercan; Itheri Yahiaoui

    C-ITS is one of the most challenging domains in either research or industry. Their social and economic benefits are of importance for fuel consumption, traffic management, and road safety. Consequently, they have been deployed in many countries. Privacy is a critical feature of any shared system. This issue is crucial for deployed C-ITS in order to avoid tracking drivers who send continuous messages

    更新日期:2020-06-02
  • User Preference Aware Resource Management for Wireless Communication Networks
    IEEE Netw. (IF 8.808) Pub Date : 2020-06-02
    Ailing Xiao; Xiaofu Huang; Sheng Wu; Chunxiao Jiang; Li Ma; Zhu Han

    With the development of next-generation communication technologies and smart handheld devices, mobile services have multiplied the global network traffic. Due to the subjectivity of user expectations and the instability of wireless environments, the Quality of Experience (QoE) of the mobile service is not always satisfactory. Recently, many optimization schemes have been proposed to evaluate and improve

    更新日期:2020-06-02
  • Ultra-Reliable and Low-Latency Communications for Connected Vehicles: Challenges and Solutions
    IEEE Netw. (IF 8.808) Pub Date : 2020-06-02
    Haojun Yang; Kan Zheng; Kuan Zhang; Jie Mei; Yi Qian

    With the rapid development of communications and computing, the concept of connected vehicles emerges to improve driving safety, traffic efficiency and the infotainment experience. Due to the limited capabilities of sensors and information processing on a single vehicle, vehicular networks (VNETs) play a vital role for the realization of connected vehicles. To achieve closer cooperation on the road

    更新日期:2020-06-02
  • Energy-Efficient Monitoring of Fire Scenes for Intelligent Networks
    IEEE Netw. (IF 8.808) Pub Date : 2020-06-02
    Khan Muhammad; Joel J. P. C. Rodrigues; Sergey Kozlov; Francesco Piccialli; Victor Hugo C. de Albuquerque

    In the current surveillance networks, a vast amount of data is generated from different sources, resulting in big data. Such data need intelligent technologies and big data analytics for its realtime analysis to provide different services. This article describes an efficient artificial intelligence and big data analytics-assisted system for real-time fire scene analysis in surveillance networks. The

    更新日期:2020-06-02
  • Service-Less Video Multicast in 5G: Enablers and Challenges
    IEEE Netw. (IF 8.808) Pub Date : 2020-06-02
    Kamran Zahoor; Kashif Bilal; Aiman Erbad; Amr Mohamed

    The massive upsurge in production and demand of crowdsourced live streaming necessitates feasible and cost effective solutions in future cellular networks. Video multicast is one of the viable options to deliver live video using standardized multicast technologies, such as evolved Multimedia Broadcast Multicast Services (eMBMS) architecture. However, eMBMS being a service-oriented architecture, it

    更新日期:2020-06-02
  • Cover 3
    IEEE Netw. (IF 8.808) Pub Date : 2020-06-02

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  • Cover 4
    IEEE Netw. (IF 8.808) Pub Date : 2020-06-02

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  • An Energy Trade Framework Using Smart Contracts: Overview and Challenges
    IEEE Netw. (IF 8.808) Pub Date : 2020-04-30
    Moayad Aloqaily; Azzedine Boukerche; Ouns Bouachir; Fariea Khalid; Sobia Jangsher

    The increasing demand for clean, sustainable and reliable energy sources that are secure and stable requires the integration of renewable and edge energy products with the existing power grid. With the introduction of technological advancements and distributed resources, energy users (aka prosumers) can now generate, store and manage their energy requirements, and share their resources with others

    更新日期:2020-04-30
  • From Mobility Traces to Knowledge: Design Guidance for Intelligent Vehicular Networks
    IEEE Netw. (IF 8.808) Pub Date : 2020-04-30
    Clayson Celes; Azzedine Boukerche; Antonio A. F. Loureiro

    Vehicular networks have received much attention in recent years as they have emerged as one of the leading data communication solutions for smart cities. At the same time, the popularization of sensing devices has enabled the acquisition of a vast amount of vehicular mobility data (mobility traces). In this sense, a recent trend is to use mobility traces to extract hidden knowledge and apply it to

    更新日期:2020-04-30
  • Toward Assured Data Deletion in Cloud Storage
    IEEE Netw. (IF 8.808) Pub Date : 2020-04-30
    Dong Zheng; Liang Xue; Chao Yu; Yannan Li; Yong Yu

    Outsourcing data to remote cloud servers can significantly reduce the managing overhead and storage burden for individuals and enterprises. When the data stored in cloud are no longer needed, assured data deletion is a fundamental requirement to ensure that the sensitive data on the cloud can be safely deleted. Salient features of cloud storage such as virtualization, multi-tenancy, high availability

    更新日期:2020-04-30
  • Front Cover
    IEEE Netw. (IF 8.808) Pub Date : 2020-04-02

    Presents the front cover for this issue of the publication.

    更新日期:2020-04-22
  • Cover 2
    IEEE Netw. (IF 8.808) Pub Date : 2020-04-02

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    更新日期:2020-04-22
  • Table of Contents
    IEEE Netw. (IF 8.808) Pub Date : 2020-04-02

    Presents the table of contents for this issue of the publication.

    更新日期:2020-04-22
  • WFIOT
    IEEE Netw. (IF 8.808) Pub Date : 2020-04-02

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  • Recent Advances in Security and Privacy for Future Intelligent Networks
    IEEE Netw. (IF 8.808) Pub Date : 2020-04-02
    Xiaojiang Du; Meng Shen; Zheng Chang; Zhao Cao

    The articles in this special section focus on recent advances in security and privacy for future intelligent networks. Recent booming advancements in networking techniques have led to an evolution toward future intelligent networks (FINs). This trend takes place under a circumstance in which a great number of devices are connected for specific purposes by a variety of novel techniques. In FINs, we

    更新日期:2020-04-22
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