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arXiv 2004.14691cs.CRcs.IRcs.NI
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基于区块链的经济高效的IoT取证框架

A Cost-efficient IoT Forensics Framework with Blockchain

Suat Mercan, Mumin Cebe, Ege Tekiner, Kemal Akkaya, Melissa Chang, Selcuk Uluagac

摘要:

在过去的十年中,物联网设备被广泛采用,从而能够从不同的环境中收集各种数据。收集的数据在某些应用中至关重要,其中物联网设备为关键基础设施或系统生成数据,其故障可能导致灾难性结果。具体地,对于这样的关键应用,数据存储提出了挑战,因为数据可能在存储期间受损,并且完整性可能在没有被注意到的情况下被侵犯。在这种情况下,需要完整性和数据出处,以便能够发现任何事件的来源,并在与所涉各方发生争议时在法律案件中证明这一点。为了解决这些问题,区块链提供了很好的机会,因为它可以保护数据的完整性,这要归功于它的分布式结构。然而,它带来了一定的成本,因为在公共区块链中存储大量数据将带来大量的交易费用。在本文中,我们提出了一个高成本效益和可靠的数字取证框架,通过利用多个廉价的区块链网络作为数据提交到以太坊之前的临时存储。为了降低以太坊的成本,我们利用Merkle树,它分层存储从物联网设备收集的事件数据的哈希值。我们通过成本和安全性分析评估了EOS、Stellar和以太坊等流行区块链上的方法。结果表明,我们可以在不影响数据完整性的情况下实现显着的成本节约。

英文摘要:

IoT devices have been adopted widely in the last decade which enabled collection of various data from different environments. The collected data is crucial in certain applications where IoT devices generate data for critical infrastructure or systems whose failure may result in catastrophic results. Specifically, for such critical applications, data storage poses challenges since the data may be compromised during the storage and the integrity might be violated without being noticed. In such cases, integrity and data provenance are required in order to be able to detect the source of any incident and prove it in legal cases if there is a dispute with the involved parties. To address these issues, blockchain provides excellent opportunities since it can protect the integrity of the data thanks to its distributed structure. However, it comes with certain costs as storing huge amount of data in a public blockchain will come with significant transaction fees. In this paper, we propose a highly cost effective and reliable digital forensics framework by exploiting multiple inexpensive blockchain networks as a temporary storage before the data is committed to Ethereum. To reduce Ethereum costs,we utilize Merkle trees which hierarchically stores hashes of the collected event data from IoT devices. We evaluated the approach on popular blockchains such as EOS, Stellar, and Ethereum by presenting a cost and security analysis. The results indicate that we can achieve significant cost savings without compromising the integrity of the data.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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