{"title":"物联网软件定义雾计算网络中的安全和隐私意识","authors":"Abdulrahman Alamer","doi":"10.1016/j.osn.2021.100616","DOIUrl":null,"url":null,"abstract":"<div><p>Issues of high energy costs and a time delay factor currently pose a considerable challenge to the success of the Internet of Things (IoT). Accordingly, fog computing (fog-C) has been introduced as a new paradigm to address both the high bandwidth cost and time delay issues that can result from transmitting sensing data all the way to centralized cloud servers. In addition, the optical fog-C network has been introduced to improve packet transmission among a group of connected fog nodes to support services to the end-user, with a minimum time delay. However, since network traffic management issues, such as building a network topology for supporting network traffic rules, have not been systematically recognized in optical or wireless fog-C, the fog-C network system itself is still not sufficiently dynamic to completely address these energy costs and latency issues. Thus, many studies have been suggested to integrate a software defined network (SDN) into the fog-C network system to present a software defined fog-C (SDFC) network architecture in order to eliminate the aforementioned issues associated with IoT applications. However, integrating the SDN with the fog-C system may generally result in introducing specific security and privacy challenges to the fog-C network topology system due to its distinctive features. This paper will review the overall promising advantages of SDFC networks, with a consideration of security and privacy threats associated with the fog-C network topology as well as possible solutions.</p></div>","PeriodicalId":54674,"journal":{"name":"Optical Switching and Networking","volume":"41 ","pages":"Article 100616"},"PeriodicalIF":1.9000,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.osn.2021.100616","citationCount":"10","resultStr":"{\"title\":\"Security and privacy-awareness in a software-defined fog computing network for the Internet of Things\",\"authors\":\"Abdulrahman Alamer\",\"doi\":\"10.1016/j.osn.2021.100616\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>Issues of high energy costs and a time delay factor currently pose a considerable challenge to the success of the Internet of Things (IoT). Accordingly, fog computing (fog-C) has been introduced as a new paradigm to address both the high bandwidth cost and time delay issues that can result from transmitting sensing data all the way to centralized cloud servers. In addition, the optical fog-C network has been introduced to improve packet transmission among a group of connected fog nodes to support services to the end-user, with a minimum time delay. However, since network traffic management issues, such as building a network topology for supporting network traffic rules, have not been systematically recognized in optical or wireless fog-C, the fog-C network system itself is still not sufficiently dynamic to completely address these energy costs and latency issues. Thus, many studies have been suggested to integrate a software defined network (SDN) into the fog-C network system to present a software defined fog-C (SDFC) network architecture in order to eliminate the aforementioned issues associated with IoT applications. However, integrating the SDN with the fog-C system may generally result in introducing specific security and privacy challenges to the fog-C network topology system due to its distinctive features. This paper will review the overall promising advantages of SDFC networks, with a consideration of security and privacy threats associated with the fog-C network topology as well as possible solutions.</p></div>\",\"PeriodicalId\":54674,\"journal\":{\"name\":\"Optical Switching and Networking\",\"volume\":\"41 \",\"pages\":\"Article 100616\"},\"PeriodicalIF\":1.9000,\"publicationDate\":\"2021-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1016/j.osn.2021.100616\",\"citationCount\":\"10\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Optical Switching and Networking\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1573427721000138\",\"RegionNum\":4,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"COMPUTER SCIENCE, INFORMATION SYSTEMS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Optical Switching and Networking","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1573427721000138","RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}
Security and privacy-awareness in a software-defined fog computing network for the Internet of Things
Issues of high energy costs and a time delay factor currently pose a considerable challenge to the success of the Internet of Things (IoT). Accordingly, fog computing (fog-C) has been introduced as a new paradigm to address both the high bandwidth cost and time delay issues that can result from transmitting sensing data all the way to centralized cloud servers. In addition, the optical fog-C network has been introduced to improve packet transmission among a group of connected fog nodes to support services to the end-user, with a minimum time delay. However, since network traffic management issues, such as building a network topology for supporting network traffic rules, have not been systematically recognized in optical or wireless fog-C, the fog-C network system itself is still not sufficiently dynamic to completely address these energy costs and latency issues. Thus, many studies have been suggested to integrate a software defined network (SDN) into the fog-C network system to present a software defined fog-C (SDFC) network architecture in order to eliminate the aforementioned issues associated with IoT applications. However, integrating the SDN with the fog-C system may generally result in introducing specific security and privacy challenges to the fog-C network topology system due to its distinctive features. This paper will review the overall promising advantages of SDFC networks, with a consideration of security and privacy threats associated with the fog-C network topology as well as possible solutions.
期刊介绍:
Optical Switching and Networking (OSN) is an archival journal aiming to provide complete coverage of all topics of interest to those involved in the optical and high-speed opto-electronic networking areas. The editorial board is committed to providing detailed, constructive feedback to submitted papers, as well as a fast turn-around time.
Optical Switching and Networking considers high-quality, original, and unpublished contributions addressing all aspects of optical and opto-electronic networks. Specific areas of interest include, but are not limited to:
• Optical and Opto-Electronic Backbone, Metropolitan and Local Area Networks
• Optical Data Center Networks
• Elastic optical networks
• Green Optical Networks
• Software Defined Optical Networks
• Novel Multi-layer Architectures and Protocols (Ethernet, Internet, Physical Layer)
• Optical Networks for Interet of Things (IOT)
• Home Networks, In-Vehicle Networks, and Other Short-Reach Networks
• Optical Access Networks
• Optical Data Center Interconnection Systems
• Optical OFDM and coherent optical network systems
• Free Space Optics (FSO) networks
• Hybrid Fiber - Wireless Networks
• Optical Satellite Networks
• Visible Light Communication Networks
• Optical Storage Networks
• Optical Network Security
• Optical Network Resiliance and Reliability
• Control Plane Issues and Signaling Protocols
• Optical Quality of Service (OQoS) and Impairment Monitoring
• Optical Layer Anycast, Broadcast and Multicast
• Optical Network Applications, Testbeds and Experimental Networks
• Optical Network for Science and High Performance Computing Networks