Combinatorial Resources Auction in Decentralized Edge-Thing Systems Using Blockchain and Differential Privacy
Jianxiong Guo, Xingjian Ding, Weijia Jia

TL;DR
This paper proposes a blockchain-based combinatorial double auction mechanism with differential privacy for edge-thing systems, enhancing resource allocation fairness, security, and revenue in IoT edge computing.
Contribution
It introduces a novel differentially private auction mechanism using blockchain and smart contracts to secure and optimize resource allocation in decentralized edge-thing systems.
Findings
Ensures approximate truthfulness and high revenue.
Guarantees privacy security against inference attacks.
Validated effectiveness through theoretical analysis and simulations.
Abstract
With the continuous expansion of Internet of Things (IoT) devices, edge computing mode has emerged in recent years to overcome the shortcomings of traditional cloud computing mode, such as high delay, network congestion, and large resource consumption. Thus, edge-thing systems will replace the classic cloud-thing/cloud-edge-thing systems and become mainstream gradually, where IoT devices can offload their tasks to neighboring edge nodes. A common problem is how to utilize edge computing resources. For the sake of fairness, double auction can be used in the edge-thing system to achieve an effective resource allocation and pricing mechanism. Due to the lack of third-party management agencies and mutual distrust between nodes, in our edge-thing systems, we introduce blockchains to prevent malicious nodes from tampering with transaction records and smart contracts to act as an auctioneer to…
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