Securing Self-organizing IoT Ecosystem: A Distributed Ledger Technology Approach

被引:0
作者
Joseph, Ajayi Oluwashina [1 ]
Raffety, Joseph [1 ]
Morrow, Philip [1 ]
Lin Zhiwei [1 ]
Nugent, Christopher [1 ]
McClean, Sally [1 ]
Ducatel, Gery [2 ]
机构
[1] Ulster Univ, Jordanstown BT37 0QB, North Ireland
[2] British Telecommun PLC, Adastral Pk, Ipswich, Suffolk, England
来源
2019 IEEE 5TH WORLD FORUM ON INTERNET OF THINGS (WF-IOT) | 2019年
关键词
Accountability; Distributed Ledger Technology; Internet of Things; Blockchain; IoT security; Privacy; Threat; Veracity; vulnerabilities; INTERNET; THINGS; ALGORITHMS; SYSTEMS; DEVICES;
D O I
10.1109/wf-iot.2019.8767182
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
The proliferation of the Internet of Things has seen it adopted to practically all aspects of life. There has been an increase in demand for more IoT devices which are manufactured by several companies. This has however left need to address vulnerabilities within and threats to these devices. In many cases, these vulnerabilities arise from manufacturer focus on functionality rather than security. Secure by design IoT devices are rare in the market today. Efforts to address this are being made by the IoT research community, however, more effort is required. Deficiencies of current efforts include accountability of devices and privacy of data generated across the IoT landscape. The aim of this Ph.D. research is to improve the security, privacy, veracity, and trust. The approach developed in this study will be based on non-repudiation of actions among self-organized IoT devices in an IoT Ecosystem by leveraging Distributed Ledger Technology (DLT). A proposed system architecture which relies on the Distributed Ledger Technology and its related features will enable services to be applied to the IoT landscape to achieve aspects of end to end IoT security. The initial progress to date is presented within this manuscript.
引用
收藏
页码:809 / 814
页数:6
相关论文
共 42 条
  • [31] Flocking for multi-agent dynamic systems: Algorithms and theory
    Olfati-Saber, R
    [J]. IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2006, 51 (03) : 401 - 420
  • [32] Oquendo F., 2012, IEEE 12 SYST SYST EN, P1
  • [33] Distributed Real-Time IoT for Autonomous Vehicles
    Philip, Bigi Varghese
    Alpcan, Tansu
    Jin, Jiong
    Palaniswami, Marimuthu
    [J]. IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2019, 15 (02) : 1131 - 1140
  • [34] Computing with the collective intelligence of honey bees - A survey
    Rajasekhar, Anguluri
    Lynn, Nandar
    Das, Swagatam
    Suganthan, P. N.
    [J]. SWARM AND EVOLUTIONARY COMPUTATION, 2017, 32 : 25 - 48
  • [35] Ray S, 2016, PR IEEE COMP DESIGN, P690, DOI 10.1109/ICCD.2016.7753360
  • [36] Rojo-Rodriguez EG, 2017, INT CONF UNMAN AIRCR, P1101
  • [37] Centrality Measures in Linear Consensus Networks With Structured Network Uncertainties
    Siami, Milad
    Bolouki, Sadegh
    Bamieh, Bassam
    Motee, Nader
    [J]. IEEE TRANSACTIONS ON CONTROL OF NETWORK SYSTEMS, 2018, 5 (03): : 924 - 934
  • [38] Singh S, 2015, 2015 International Conference on Green Computing and Internet of Things (ICGCIoT), P1577, DOI 10.1109/ICGCIoT.2015.7380718
  • [39] Building Blocks of the Internet of Things
    Voas, Jeffrey
    [J]. PROCEEDINGS 2016 IEEE SYMPOSIUM ON SERVICE-ORIENTED SYSTEM ENGINEERING SOSE 2016, 2016, : 1 - 2
  • [40] Securing On-Body IoT Devices By Exploiting Creeping Wave Propagation
    Wang, Wei
    Yang, Lin
    Zhang, Qian
    Jiang, Tao
    [J]. IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS, 2018, 36 (04) : 696 - 703