Data Elimination on Repetition using a Blockchain based Cyber Threat Intelligence

S. Smys, W. Haoxiang
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引用次数: 13

Abstract

Cyber threat is a major issue that has been terrorizing the computing work. A typical cyber-physical system is crucial in ensuring a safe and secure architecture of a sustainable computing ecosystem. Cyber Threat Intelligence (CTI) is a new methodology that is used to address some of the existing cyber threats and ensure a more secure environment for communication. Data credibility and reliability plays a vital role in increasing the potential of a typical CTI and the data collected for this purpose is said to be highly reliable. In this paper, we have introduced a CTI system using blockchain to tackle the issues of sustainability, scalability, privacy and reliability. This novel approach is capable of measuring organizations contributions, reducing network load, creating a reliable dataset and collecting CTI data with multiple feeds. We have testing various parameters to determine the efficiency of the proposed methodology. Experimental results show that when compared to other methodologies, we can save upto 20% of storage space using the proposed methodology.
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使用基于区块链的网络威胁情报的重复数据消除
网络威胁是困扰计算机工作的主要问题。典型的网络物理系统对于确保可持续计算生态系统的安全架构至关重要。网络威胁情报(CTI)是一种新的方法,用于解决一些现有的网络威胁,并确保更安全的通信环境。数据可信度和可靠性在增加典型CTI的潜力方面起着至关重要的作用,为此目的收集的数据据说是高度可靠的。在本文中,我们介绍了一个使用区块链来解决可持续性、可扩展性、隐私性和可靠性问题的CTI系统。这种新颖的方法能够衡量组织的贡献,减少网络负载,创建可靠的数据集,并通过多个数据源收集CTI数据。我们已经测试了各种参数来确定所提出方法的效率。实验结果表明,与其他方法相比,使用该方法可以节省高达20%的存储空间。
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