Analysis of Machine Learning Systems for Cyber Physical Systems

Abstract

This study summarizes major literature reviews on machine learning systems for network analysis and intrusion detection. Furthermore, it provides a brief lesson description of each machine learning approach. Because data is so important in machine learning methods, this study The primary tools for assessing network traffic and spotting anomalies are machine learning approaches, and the study focuses on the datasets utilized in these techniques. This research examine the multiple advantages (reasonable use) that machine learning has made possible, particularly for security and cyber-physical systems, including enhanced intrusion detection techniques and judgment accuracy. Additionally, this study discusses the difficulties of utilizing machine learning for cybersecurity and offers suggestions for further study.

Internet of Things, Big Data, and Artificial Intelligence in The Food and Agriculture Sector

“…A system can be made capable of independent localized decision-making and appropriate action-taking by using advanced algorithms and monitoring the system's performance in relation to the desired outcome. An intelligent Internet of Things system is one that has this amount of independence, which enables autonomy in sensing, decision-making, and actuation [12].…”

Strategi Optimalisasi Adopsi Teknologi Sistem Barcode di Pt. Langkat Nusantara Kepong

“…Sistem barcode telah digunakan untuk meningkatkan produktivitas dan meminimalisirkan kesalahan manusia dalam pendataan [16]. Sistem ini juga dapat digunakan untuk pendataan setiap karyawan guna mendapatkan efisiensi kerja bagi karyawan yang bekerja di suatu perusahaan tersebut [17]. Efisiensi di sektor SDM berkorelasi dengan aktivitas pekerjaan dan jumlah waktu yang dibutuhkan karyawan untuk melaksanakan tanggung jawab yang diberikan [18].…”

“…Partisipan dalam penelitian ini adalah seluruh PT. karyawan LNK [21] Pengambilan sampel acak stratifikasi proporsional adalah pendekatan yang digunakan untuk pengambilan sampel [22] . Untuk memastikan setiap strata representatif, metode ini mengumpulkan sampel dari setiap subpopulasi yang jumlahnya disesuaikan dengan jumlah subpopulasi [23].…”

Overview of Life Cycle Assessment of Current Emerging Technologies

“…The environmental impact of a finished product can be altered by choices made at various phases of technological development and product design, as shown in Figure 1. Environmental considerations should be made during the technology development stage rather than during the product design or operation phases if the most advantages are to be obtained [12]. Results from LCAs of developing technologies might vary significantly depending on the level of maturity of the technology or the volume of production [13].…”