Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Securing Peer-To-Peer Identities in Iot Systems Using Blockchain and Multi-Agent Systems with an Outlook on M2m Payment Applications

Securing Peer-To-Peer Identities in Iot Systems Using Blockchain and Multi-Agent Systems with an Outlook on M2m Payment Applications

Stiller, Karen Ayu

Paperback

Series: Bestmasters

Investing & FinanceGeneral ComputersNetworking

ISBN10: 3658515198
ISBN13: 9783658515195
Publisher: Springer Gabler
Published: May 19 2026
Pages: 81
Weight: 0.30
Height: 0.24 Width: 5.94 Depth: 8.22
Language: English
This book presents a proof of concept architecture to detect and prevent Sybil attacks in automated Machine-to-Machine networks. Designed in regards to low-powered Internet of Things devices, the proposed layered defence balances security with computational feasibility, using Distributed Ledger Technology and Multi-Agent Systems. The thesis begins with the theoretical background of the used technologies and related work, which the methodology is based on. Using the Design Science Research framework, the methodology explains the process of building the simulation, its layers and the combined approach, followed by the results which are compared and discussed. The results show that a multi-layered approach reduces false positives and offers a more balanced detection framework compared to the isolated methods. The thesis concludes by discussing the framework's scalability, limitations and future research directions for securing decentralized payment systems.

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