Secrecy-enabled resource allocation in cloud-assisted IoT networks

被引:0
|
作者
Dubey, Krati [1 ,2 ]
Pandey, Sudhakar [1 ,3 ]
Kumar, Sanjay [1 ]
机构
[1] Natl Inst Technol Raipur, Dept Informat Technol, Raipur, India
[2] Manipal Univ Jaipur, Dept Informat Technol, Jaipur, India
[3] Natl Inst Technol Raipur, Dept Informat Technol, Raipur 492010, India
关键词
MANAGEMENT; INTERNET; THINGS;
D O I
10.1002/ett.4870
中图分类号
TN [电子技术、通信技术];
学科分类号
0809 ;
摘要
Cloud-assisted IoT networks, (Fog computing) provide computation-intensive services to the edge devices like the Internet of Things (IoT) with limited resources. One of the urgent challenges in fog-based IoT networks is how to fulfill the demanded network resources for connected IoT devices with secure communication. To provide robust solutions in this paper, we have proposed a secrecy-enabled resource allocation scheme for cloud-assisted IoT networks (fog networks). In this study, we have conceptualized a state-of-the-art physical-layer secure communication along with the network resource allocation scheme with the intention of providing on-demand Quality of service (QoS) parameters along with increased secrecy rate in the cloud-assisted IoT networks. To determine this we have formulated a coalition-based game formation for the considered network. Different from previous work we include the secrecy in the physical layer by the proposed secracy-enabled resource allocation scheme. Furthermore, we have conducted extensive simulations for analyzing the numerical results of the proposed scheme. The numerical result shows the effectiveness of the proposed scheme in terms of increased secrecy and data rate of the IoT devices. To protect the data transmission in cloud assisted IoT networks we put forwards a physical layer security-based secrecy-enabled resource allocation scheme.image
引用
收藏
页数:17
相关论文
共 50 条
  • [21] Secrecy-Optimized Resource Allocation for UAV-Assisted Relaying Networks
    Li, Bin
    Fei, Zesong
    Dai, Yueyue
    Zhang, Yan
    [J]. 2018 IEEE GLOBAL COMMUNICATIONS CONFERENCE (GLOBECOM), 2018,
  • [22] Energy Efficient Resource Allocation in EH-Enabled CR Networks for IoT
    Shahini, Ali
    Kiani, Abbas
    Ansari, Nirwan
    [J]. IEEE INTERNET OF THINGS JOURNAL, 2019, 6 (02) : 3186 - 3193
  • [23] ARCA-IoT: An Attack-Resilient Cloud-Assisted IoT System
    Javaid, Sabeen
    Afzal, Hammad
    Babar, Muhammad
    Arif, Fahim
    Tan, Zhiyuan
    Jan, Mian Ahmad
    [J]. IEEE ACCESS, 2019, 7 : 19616 - 19630
  • [24] Resource Allocation for UAV Relay-Assisted IoT Communication Networks
    Tran, Dinh-Hieu
    Nguyen, Van-Dinh
    Gautam, Sumit
    Chatzinotas, Symeon
    Vu, Thang X.
    Ottersten, Bjorn
    [J]. 2020 IEEE GLOBECOM WORKSHOPS (GC WKSHPS), 2020,
  • [25] Cloud-Assisted Privacy-Preserving Classification for IoT Applications
    Yang, Lei
    Li, Fengjun
    [J]. 2018 IEEE CONFERENCE ON COMMUNICATIONS AND NETWORK SECURITY (CNS), 2018,
  • [26] A Secure Certificateless Signature Scheme for Cloud-Assisted Industrial IoT
    Shim, Kyung-Ah
    [J]. IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2024, 20 (04) : 6834 - 6843
  • [27] Secure Data Collection, Storage, and Access in Cloud-Assisted IoT
    Wang, Wei
    Xu, Peng
    Yang, Laurence Tianruo
    [J]. IEEE CLOUD COMPUTING, 2018, 5 (04): : 77 - 88
  • [28] Resource Allocation for IoT Applications in Cloud Environments
    Singh, Anand
    Viniotis, Yannis
    [J]. 2017 INTERNATIONAL CONFERENCE ON COMPUTING, NETWORKING AND COMMUNICATIONS (ICNC), 2016, : 719 - 723
  • [29] Dynamic Content Allocation for Cloud-assisted Service of Periodic Workloads
    Dan, Gyorgy
    Carlsson, Niklas
    [J]. 2014 PROCEEDINGS IEEE INFOCOM, 2014, : 853 - 861
  • [30] Contract-based scheme for computational resource allocation in cloud-assisted parked vehicular edge computing
    Cheng, Zhixu
    Zhang, Jing
    Song, Tiecheng
    Hu, Jing
    [J]. PHYSICAL COMMUNICATION, 2022, 55