Differential Privacy-Based Online Allocations towards Integrating Blockchain and Edge Computing
Jianxiong Guo, Weili Wu

TL;DR
This paper introduces a differentially private online auction mechanism for allocating edge computing resources to IoT devices in blockchain environments, ensuring fairness, truthfulness, and privacy protection.
Contribution
It proposes a novel privacy-preserving online multi-item double auction mechanism tailored for blockchain-enabled IoT and edge computing integration.
Findings
The mechanism guarantees privacy with high confidence.
The auction achieves truthfulness and fairness.
The approach is validated through theoretical analysis and simulations.
Abstract
In recent years, the blockchain-based Internet of Things (IoT) has been researched and applied widely, where each IoT device can act as a node in the blockchain. However, these lightweight nodes usually do not have enough computing power to complete the consensus or other computing-required tasks. Edge computing network gives a platform to provide computing power to IoT devices. A fundamental problem is how to allocate limited edge servers to IoT devices in a highly untrustworthy environment. In a fair competition environment, the allocation mechanism should be online, truthful, and privacy safe. To address these three challenges, we propose an online multi-item double auction (MIDA) mechanism, where IoT devices are buyers and edge servers are sellers. In order to achieve the truthfulness, the participants' private information is at risk of being exposed by inference attack, which may…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsPrivacy-Preserving Technologies in Data · Blockchain Technology Applications and Security · Mobile Crowdsensing and Crowdsourcing
