Trade-off Model of Fog-Cloud Computing for Space Information Networks

被引:2
|
作者
Carter, Jarred Michael [1 ]
Narman, Husnu S. [1 ]
Cosgun, Ozlem [2 ]
Liu, Jinwei [3 ]
机构
[1] Marshall Univ, Dept Comp Sci & Elect Engn, Huntington, WV 25755 USA
[2] Harrisburg Univ, Dept Informat Syst Engn & Management, Harrisburg, PA 17101 USA
[3] Florida A&M Univ, Dept Comp & Informat Sci, Tallahassee, FL 32307 USA
来源
关键词
Fog Computing; space information network; trade-off; SECURITY;
D O I
10.1109/IEEECloudSummit48914.2020.00020
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
A steadily growing number of Internet-based service requests from the IoT have led to an increase in complexity and clients, resulting in an increased number of cybersecurity concerns. Although there are main security concerns with IoT services over cloud computing services, cloud computing is mostly preferred to provide seamless and scalable Intern-based services. Moreover, cloud service providers are continuously extending their capacity to reach more industries and address their concerns. For example, Amazon has recently launched a pay-as-you-go cloud computing service that will take place on satellite operators to provide more IoT services to industries such as the agricultural and shipping industries. However, the secure transfer of information within a space information network is of great concern due to numerous attacks between nodes to occur. This can be followed by loss of data Confidentiality, Integrity, and Availability. Several researchers have proposed multifaceted solutions to these concerns, including blockchain application, digital signature, symmetric/asymmetric encryption schemes, and centralized and/or decentralized key management for space information networks. In this paper, we focus on the integration of fog-cloud computing and space information network. We primarily investigate the feasibility of fog-cloud architecture in space information networks and the benefits of having fog computing in space information networks' security. This is accomplished mainly by reviewing existing works on fog-cloud computing and space information networks and evaluating both proposed solutions to potential issues regarding security.
引用
收藏
页码:91 / 96
页数:6
相关论文
共 50 条
  • [1] Energy - Service Trade-Off Model for Mobile Cloud Computing
    Ravi, Anuradha
    Peddoju, Sateesh K.
    [J]. 2017 IEEE 14TH INTERNATIONAL CONFERENCE ON MOBILE AD HOC AND SENSOR SYSTEMS (MASS), 2017, : 616 - 621
  • [2] An Optimized Task Placement in Computational Offloading for Fog-Cloud Computing Networks
    Sarkar, Indranil
    Kumar, Sanjay
    Mukherjee, Mithun
    [J]. 13TH IEEE INTERNATIONAL CONFERENCE ON ADVANCED NETWORKS AND TELECOMMUNICATION SYSTEMS (IEEE ANTS), 2019,
  • [3] Multimedia access control with secure provenance in fog-cloud computing networks
    Yang Yang
    Ximeng Liu
    Wenzhong Guo
    Xianghan Zheng
    Chen Dong
    Zhiquan Liu
    [J]. Multimedia Tools and Applications, 2020, 79 : 10701 - 10716
  • [4] Multimedia access control with secure provenance in fog-cloud computing networks
    Yang, Yang
    Liu, Ximeng
    Guo, Wenzhong
    Zheng, Xianghan
    Dong, Chen
    Liu, Zhiquan
    [J]. MULTIMEDIA TOOLS AND APPLICATIONS, 2020, 79 (15-16) : 10701 - 10716
  • [5] A Framework for Analyzing Fog-Cloud Computing Cooperation Applied to Information Processing of UAVs
    Pinto, Milena F.
    Marcato, Andre L. M.
    Melo, Aurelio G.
    Honorio, Leonardo M.
    Urdiales, Cristina
    [J]. WIRELESS COMMUNICATIONS & MOBILE COMPUTING, 2019, 2019
  • [6] Optimal Design of Wireless-Powered Hierarchical Fog-Cloud Computing Networks
    Liu, Jingxian
    Xiong, Ke
    Ng, Derrick Wing Kwan
    Fan, Pingyi
    Zhong, Zhangdui
    [J]. 2019 IEEE GLOBAL COMMUNICATIONS CONFERENCE (GLOBECOM), 2019,
  • [7] Communication, Computing, and Caching Trade-Off in VR Networks
    Feng, Yuqing
    Wang, Dongyu
    Hou, Yanzhao
    [J]. ELECTRONICS, 2023, 12 (07)
  • [8] A dynamic planning model for deploying service functions chain in fog-cloud computing
    Zhang, Yongheng
    Zhang, Feng
    Tong, Si
    Rezaeipanah, Amin
    [J]. JOURNAL OF KING SAUD UNIVERSITY-COMPUTER AND INFORMATION SCIENCES, 2022, 34 (10) : 7948 - 7960
  • [9] Energy Efficient Distributed Learning in Integrated Fog-Cloud Computing Enabled IoT Networks
    Al-Abiad, Mohammed S.
    Hassan, Md Zoheb
    Hossain, Md Jahangir
    [J]. 2022 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS WORKSHOPS (ICC WORKSHOPS), 2022, : 872 - 877
  • [10] Design of Latency-Aware IoT Modules in Heterogeneous Fog-Cloud Computing Networks
    Hassan, Syed Rizwan
    Ahmad, Ishtiaq
    Nebhen, Jamel
    Rehman, Ateeq Ur
    Shafiq, Muhammad
    Choi, Jin-Ghoo
    [J]. CMC-COMPUTERS MATERIALS & CONTINUA, 2022, 70 (03): : 6057 - 6072