Blockchain for Data Sharing at the Network Edge: Trade-Off Between Capability and Security

TL;DR

This paper analyzes the trade-off between capability and security in blockchain for data sharing at the network edge, using Markov chain models to optimize performance based on application needs.

Contribution

It introduces an analytical framework to quantify the relationship between blockchain capability and security, guiding performance management in edge data sharing.

Findings

Transaction throughput increases with larger block size or shorter generation time.

Security decreases as throughput improves, but can be offset by higher confirmation thresholds.

Adjusting block parameters balances security, delay, and fault tolerance based on application demands.

Abstract

Blokchain is a promising technology to enable distributed and reliable data sharing at the network edge. The high security in blockchain is undoubtedly a critical factor for the network to handle important data item. On the other hand, according to the dilemma in blockchain, an overemphasis on distributed security will lead to poor transaction-processing capability, which limits the application of blockchain in data sharing scenarios with high-throughput and low-latency requirements. To enable demand-oriented distributed services, this paper investigates the relationship between capability and security in blockchain from the perspective of block propagation and forking problem. First, a Markov chain is introduced to analyze the gossiping-based block propagation among edge servers, which aims to derive block propagation delay and forking probability. Then, we study the impact of forking on blockchain capability and security metrics, in terms of transaction throughput, confirmation delay, fault tolerance, and the probability of malicious modification. The analytical results show that with the adjustment of block generation time or block size, transaction throughput improves at the sacrifice of fault tolerance, and vice versa. Meanwhile, the decline in security can be offset by adjusting confirmation threshold, at the cost of increasing confirmation delay. The analysis of capability-security trade-off can provide a theoretical guideline to manage blockchain performance based on the requirements of data sharing scenarios.