Susanto , D. Stiawan, Dian Palupi Rini, M. Arifin, Mohd Yazid Bin Idris, Nizar Alsharif, R. Budiarto
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引用次数: 0
Abstract
Abstract The Internet of Things (IoT) has unique characteristics with a minimalist design and has network access with great scalability, which makes it difficult to control access. Setting up an intrusion detection system (IDS) on an IoT system while taking into account its unique characteristics is a big challenge. In this paper, we propose a dimensional reduction approach utilizing the fast independent component analysis (ICA) method to address scalability issues of IDS for IoT systems. Experimental results show that the reduction of dimensions by the fast ICA method overall improves the IDS execution time and does not significantly affect accuracy.
物联网(Internet of Things, IoT)具有极简设计的独特特点，其网络接入具有极大的可扩展性，使得接入控制变得困难。在物联网系统上设置入侵检测系统(IDS)，同时考虑到其独特的特性是一项巨大的挑战。在本文中，我们提出了一种利用快速独立分量分析(ICA)方法来解决物联网系统IDS的可扩展性问题的降维方法。实验结果表明，快速ICA方法的降维总体上提高了IDS的执行时间，且对准确率没有显著影响。
期刊介绍：
Accounts of Chemical Research presents short, concise and critical articles offering easy-to-read overviews of basic research and applications in all areas of chemistry and biochemistry. These short reviews focus on research from the author’s own laboratory and are designed to teach the reader about a research project. In addition, Accounts of Chemical Research publishes commentaries that give an informed opinion on a current research problem. Special Issues online are devoted to a single topic of unusual activity and significance.
Accounts of Chemical Research replaces the traditional article abstract with an article "Conspectus." These entries synopsize the research affording the reader a closer look at the content and significance of an article. Through this provision of a more detailed description of the article contents, the Conspectus enhances the article's discoverability by search engines and the exposure for the research.
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