A comprehensive review on trust management approaches in fog computing

被引:0
|
作者
Karthikeyan, P. [1 ]
Brindha, K. [1 ]
机构
[1] Vellore Inst Technol, Sch Comp Sci Engn & Informat Syst, Vellore, Tamil Nadu, India
关键词
Trust management; fog computing; cloud computing; edge devices; security; SECURITY; PRIVACY; DEFENSE; MODEL;
D O I
10.3233/JIFS-232892
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Decentralised fog computing can provide real-time interaction, minimize latency, heterogeneity, and provide networking services between edge devices and cloud data centers. One of the biggest challenges in the fog layer network is finding a trustworthy fog node. Trust management encompasses the process of being trustworthy and the act of assessing the reliability of other nodes. It is essential to carry out a comprehensive review using a systematic approach in this field to advance our understanding, address emerging challenges, and foster secure and efficient trust management practices. This research paper considers a comprehensive analysis of high-quality fog computing trust management literature from 2018 to 2022. A variety of distinct approaches have been chosen by fog computing-based trust management and these techniques are classified into three categories: algorithms, challenges, and limitations. Further, it reviews the various trust attacks in fog environments, details the solutions proposed in the current literature, and concludes with a discussion of the open challenges and potential future research directions in fog computing.
引用
收藏
页码:11397 / 11423
页数:27
相关论文
共 50 条
  • [31] Service placement in fog-cloud computing environments: a comprehensive literature review
    Sarkohaki, Fatemeh
    Sharifi, Mohsen
    JOURNAL OF SUPERCOMPUTING, 2024, 80 (12): : 17790 - 17822
  • [32] Fog computing security: A review
    Jumani, Awais Khan
    Shi, Jinglun
    Laghari, Asif Ali
    Hu, Zhihui
    ul Nabi, Aftab
    Qian, Huang
    SECURITY AND PRIVACY, 2023, 6 (06)
  • [33] A Review on Fog Computing Technology
    Al-Doghman, Firas
    Chaczko, Zenon
    Ajayan, Alina Rakhi
    Klempous, Ryszard
    2016 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC), 2016, : 1525 - 1530
  • [34] Fog Computing in Healthcare: A Review
    da Silva, Cicero Alves
    de Aquino Junior, Gibeon Soares
    2018 IEEE SYMPOSIUM ON COMPUTERS AND COMMUNICATIONS (ISCC), 2018, : 1131 - 1136
  • [35] Comprehensive review of load forecasting with emphasis on intelligent computing approaches
    Wang, Hong
    Alattas, Khalid A.
    Mohammadzadeh, Ardashir
    Sabzalian, Mohammad Hosein
    Aly, Ayman A.
    Mosavi, Amir
    ENERGY REPORTS, 2022, 8 : 13189 - 13198
  • [36] Finding your Way in the Definition Fog: Towards a Comprehensive of Fog Computing
    Vaquero, Luis M.
    Rodero-Merino, Luis
    ACM SIGCOMM COMPUTER COMMUNICATION REVIEW, 2014, 44 (05) : 27 - 32
  • [37] Fog Computing for Smart Cities' Big Data Management and Analytics: A Review
    Badidi, Elarbi
    Mahrez, Zineb
    Sabir, Essaid
    FUTURE INTERNET, 2020, 12 (11) : 1 - 29
  • [38] Fog Computing Resource Optimization: A Review on Current Scenarios and Resource Management
    Dar, Ab Rashid
    Ravindran, D.
    BAGHDAD SCIENCE JOURNAL, 2019, 16 (02) : 419 - 427
  • [39] Application Management in Fog Computing Environments: A Taxonomy, Review and Future Directions
    Mahmud, Redowan
    Ramamohanarao, Kotagiri
    Buyya, Rajkumar
    ACM COMPUTING SURVEYS, 2020, 53 (04)
  • [40] aTask scheduling approaches in fog computing: A survey
    Hosseinioun, Pejman
    Kheirabadi, Maryam
    Tabbakh, Seyed Reza Kamel
    Ghaemi, Reza
    TRANSACTIONS ON EMERGING TELECOMMUNICATIONS TECHNOLOGIES, 2022, 33 (03)