A Cost-efficient IoT Forensics Framework with Blockchain
A Cost-efficient IoT Forensics Framework with Blockchain
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DOI：
10.1109/icbc48266.2020.9169397
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发表时间：
2020-04
期刊：
影响因子：
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通讯作者：
Suat Mercan;Mumin Cebe;Ege Tekiner;Kemal Akkaya;Melissa Chang;Selcuk Uluagac
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文献类型：
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作者：
Suat Mercan;Mumin Cebe;Ege Tekiner;Kemal Akkaya;Melissa Chang;Selcuk Uluagac
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。数据存储带来了挑战，因为数据在存储期间可能会受到损害，并且完整性可能会在未被注意到的情况下受到侵犯。在这种情况下，为了能够查明任何事件的来源并在法律的案件中予以证明，就需要数据的完整性和出处。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，它也带来了一定的成本，因为在公共区块链中存储大量数据将带来巨额交易费用。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。
IoT devices have been adopted widely in the last decade which enabled collection of various data from different environments. 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. 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.