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Author:

Bai, Xuetao (Bai, Xuetao.) | Tu, Shanshan (Tu, Shanshan.) | Waqas, Muhammad (Waqas, Muhammad.) | Wu, Aiming (Wu, Aiming.) | Zhang, Yihe (Zhang, Yihe.) | Yang, Yongjie (Yang, Yongjie.)

Indexed by:

CPCI-S EI Scopus

Abstract:

With the continuous development of the Internet of Things, more and more social sectors and smart devices are connected to the Internet of Things. This has led to a spurt of data growth and posed challenges to data security. To solve this problem, the Internet of Things needs a more secure and efficient storage method. Nowadays, one of the most important creative technological advancements that plays a significant role in the professional world is blockchain technology. And Both academia and industry attach great importance to the research of blockchain application technology. Some scholars believe that the blockchain itself is a secure distributed database. So, Blockchain is also considered a safe way to store data. In this paper, we introduce blockchain into the Internet of Things to ensure the security of Internet of Things data. At the same time, we have solved the problem of quantifying the degree of blockchain decentralization, which provides conditions for system optimization. After that, we proposed a system optimization model based on deep reinforcement learning to dynamically adjust system parameters. The simulation results show that the decentralization of the blockchain and the security of the system are guaranteed, and the throughput of the system has been improved.

Keyword:

Internet of Things (IoT) Performance optimization Blockchain Deep reinforcement learning

Author Community:

  • [ 1 ] [Bai, Xuetao]Beijing Univ Technol, Fac Informat Technol, Engn Res Ctr Intelligent Percept & Autonomous Con, Beijing 100124, Peoples R China
  • [ 2 ] [Tu, Shanshan]Beijing Univ Technol, Fac Informat Technol, Engn Res Ctr Intelligent Percept & Autonomous Con, Beijing 100124, Peoples R China
  • [ 3 ] [Waqas, Muhammad]Beijing Univ Technol, Fac Informat Technol, Engn Res Ctr Intelligent Percept & Autonomous Con, Beijing 100124, Peoples R China
  • [ 4 ] [Wu, Aiming]Beijing Univ Technol, Fac Informat Technol, Engn Res Ctr Intelligent Percept & Autonomous Con, Beijing 100124, Peoples R China
  • [ 5 ] [Zhang, Yihe]Beijing Univ Technol, Fac Informat Technol, Engn Res Ctr Intelligent Percept & Autonomous Con, Beijing 100124, Peoples R China
  • [ 6 ] [Yang, Yongjie]Beijing Univ Technol, Fac Informat Technol, Engn Res Ctr Intelligent Percept & Autonomous Con, Beijing 100124, Peoples R China
  • [ 7 ] [Waqas, Muhammad]GIK Inst Engn Sci & Technol, Fac Comp Sci & Engn, Topi 23460, Pakistan
  • [ 8 ] [Waqas, Muhammad]Edith Cowan Univ, Sch Engn, Joondalup Perth, WA 6027, Australia

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Source :

ARTIFICIAL INTELLIGENCE AND SECURITY, ICAIS 2022, PT III

ISSN: 0302-9743

Year: 2022

Volume: 13340

Page: 586-597

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 2

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 1

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