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Industrial Internet of Things and Data Privacy
Major: Information Control Systems and Technologies
Code of subject: 7.122.01.E.016
Credits: 5.00
Department: Automated Control Systems
Lecturer: Associate professor, Ph.D. Yurii Opotyak,
Associate professor, Ph.D. Anastasia Doroshenko
Semester: 2 семестр
Mode of study: денна
Завдання: The study of an educational discipline involves the formation of competencies in students of education:
General competencies:
1. The ability to learn, to perceive knowledge in the subject area, and to integrate it with the existing ones.
2. The ability to produce new ideas, to show creativity, the ability to system thinking.
3. Acquisition of a flexible way of thinking, which makes it possible to understand and solve problems and tasks, while maintaining a critical attitude to established scientific concepts.
4. Knowledge and understanding of the subject area and its professional features.
Professional competencies:
1. Basic knowledge of fundamental sciences to the extent necessary for mastering general professional disciplines.
2. Basic knowledge of scientific concepts, theories, and methods necessary for understanding the principles of work and functional purpose of components of information management systems.
3. The ability to classify, systematize and describe processes related to the functioning of information management systems by using analytical methods and modeling methods;
4. The ability to formulate rational and effective solutions in terms of cost and time using methods and means of information technologies in the design of information systems.
5. Ability to select and use appropriate process models and software environment for projects related to traditional software products, as well as new areas of application.
Professional competences of a professional direction:
1. FCS 1.1. The ability to use theoretical and applied knowledge in the field of computer science and information technology for the development of integrated management systems and their components, their implementation, implementation, and further support.
2. FCS 1.2. The ability to develop models of information management systems and models of complex systems that will ensure their research and optimization and improve the efficiency of the process of development and implementation of management systems.
3. FCS 1.3. The ability to apply industrial Internet of Things technologies in the development of management systems taking into account the problems of personal data protection.
Learning outcomes: ЗН1. Possessing sufficient knowledge in the field of information technologies, which will provide an opportunity to critically analyze the situation in information management systems and technologies and determine key trends in their improvement and development.
ЗН2. Understanding of tools and strategies related to the diagnosis and analysis of the state of development of information management systems and technologies at a level that will allow employment by profession, the ability to effectively use theoretical knowledge in practice in the creation and implementation of information management systems and technologies.
ЗН4. Theoretical and practical knowledge of information management systems and technologies at the level of the latest achievements, which are the basis for original thinking and innovative activity, in particular in the context of research work.
ЗН5. Knowledge of the basics of professionally oriented disciplines of specialty 122 "Computer Science".
ЗН6. Obtaining knowledge that will provide the ability to analyze and critically consider problems and tasks in the development of industrial Internet of Things systems.
УМ1. Choose to use means and components of Internet of Things devices for inputting data from sensors and primary processing of information.
УМ2. To ensure the development of Internet of Things devices based on an integrated approach, which includes a complex combination of a hardware platform and software tools to implement the tasks of collecting, processing and transferring data to local resources and cloud services.
УМ4. Use storage facilities (databases, storage and cloud services) for operational analytical and intellectual processing and visualization of data.
УМ5. Apply the acquired knowledge and understanding to identify, formulate and solve the problems of the development of industrial Internet of Things systems, using known methods and features of the architecture and problems of the corresponding systems.
УМ6. Apply knowledge to solve problems of synthesis and analysis of information management systems using the industrial Internet of Things.
УМ7. To think systematically and apply creative abilities to the formation of fundamentally new ideas in information and management systems and technologies.
УМ12. To combine theory and practice, as well as to make decisions and develop a strategy for the development of information and management systems and technologies, taking into account universal human values, social, state and industrial interests.
AiB2. The ability to realize responsibility for the development of professional knowledge and practical skills, the need for lifelong learning.
Required prior and related subjects: Previous academic disciplines:
Problem-oriented and embedded systems,
Innovative information technologies,
Next-generation networks and data protection.
Associated and following academic disciplines:
cloud technologies,
Models of control systems
Summary of the subject: "The Industrial Internet of Things and Data Protection" discipline describes the classification and basic components of building Internet of Things devices and considers the tasks, basic structures, modern hardware, and software tools for their construction. Peculiarities of building industrial Internet of Things systems are studied. The main principles, tasks, and features of the implementation of the industrial Internet of Things as a means of implementing ACS and actual problems of production modernization through the introduction of industrial Internet of Things tools are considered. As a result of the study, a set of knowledge on theoretical aspects and applied technologies of creating Internet of Things devices is formed, based on which the specialist will be able to ensure the development, application, and operation of Internet of Things systems in production, in the scientific field, in the field of ecology. When studying the discipline of the industrial Internet of Things, the main emphasis is placed on understanding the fundamental concepts and mechanisms that underlie the functioning of the Internet of Things. The discipline describes the history and prospects of the development of the Internet of Things, aspects of its implementation in production; general characteristics of the architecture, key components of the Internet of Things and approaches to their practical implementation; basic concepts and characteristics of cloud technologies; the structure and features of information, measurement and control systems as components of the Internet of Things, taking into account the special requirements of the industrial sector. Data protection in Internet of Things systems is a separate issue in this course. This includes cyber protection of systems against external attacks (DDoS attacks, software exploits, MITM attacks (middleman attacks), physical interference, brute force attacks, etc.
Also, an important part of the course is the study of the protection of personal data, which is collected and processed by smart devices under the requirements of the General Data Protection Regulation (GDPR), the Law of Ukraine on the Protection of Personal Data, HIPPA, and CCPA. Understanding the responsibility for the collected data and the legality of their processing is a particularly relevant problem in the systems of smart devices, houses, cities, etc., because their loss can lead to very high risks for users, and for the developers of such systems, it threatens with huge fines. The discipline "Industrial Internet of Things and Data Protection" is inherently integral, combining into a single whole the knowledge acquired in the course of training on the basics of circuitry, sensors, and interfaces of control systems, microcontrollers, software creation, and the functioning of cloud technologies.
Опис: 1) Introduction: Industrial revolution, Industry 4.0. Automated control systems. The history and prospects of the development of the Internet of Things. The main principles, tasks, and features of the implementation of the industrial Internet of Things as a means of implementing ACS.
2) Components of data transmission systems: Architectures of the Internet of Things. Approaches to classification. Construction features, specific requirements, and differences between the concepts of the Internet of Things and the Industrial Internet of Things.
3) Key components of the architecture: sensors, information processing tools, Internet of Things devices, data transmission networks, gateways, and Internet of Things platforms. Technological solutions for the design and implementation of Internet of Things systems, special requirements for industrial Internet of Things systems.
4) Main types of sensors and principles of their operation: Classification and main characteristics of sensors and measuring transducers. Basic principles of converting analog information. Analog-digital conversion. Use of sensors in automated systems. Executive devices in the Internet of Things.
5) Microprocessors, microcontrollers, and microcomputers as basic means of information processing for the industrial Internet of Things: Features of structure, classification, structure. Hardware interfaces. Wireless microcontrollers. Industrial modules as the basis of construction.
6) Programming of Internet of Things devices: Hardware and software complexes, integrated development environments. Programming languages. Programming methods. Visual programming tools. Cloud design environments. Microcomputers as the basis of Internet of Things devices, and programming.
7) Organization of the data transmission system of the industrial Internet of Things: The main types of transmission channels (wired, optical, wireless). Wireless technologies of the Internet of Things, and their classification.
8) Data transmission networks for the Internet of Things: Personal and short-range networks. Radiofrequency identification. Wireless sensor networks. Local networks.
9) Internet Protocols: OSI Reference Model. TCP/IP protocol stack. Data transfer management protocols for the Internet of Things. HTTP, MQTT, and other protocols. Requirements for industrial Internet of Things protocols.
10) Basic concepts and characteristics of cloud technologies: Cloud data storage models. Types of cloud services. Internet of Things platforms, purpose, and application. Concept of application programming interface (API).
11) Upper level of cloud architecture: Information consumption, user applications. Georeference. Data analysis in the Internet of Things and its applications in industry and monitoring.
12) Specific problems of using Internet of Things devices: Energy consumption and power management. Operating modes (energy saving). Problems of ensuring the security of the industrial Internet of Things. Normative and technical regulation.
13) IoT security issue: Security and resilience of the Internet of Things, range of device vulnerabilities. The unique security challenges of IoT devices. Data encryption in IoT systems.
14) Information security and protection of personal data in IoT: determination of mechanisms for implementing the principle of prior consent to the use and destruction of personal data; use of personal data by intellectual complexes functioning without the participation of subjects (legal entities or individuals).
Assessment methods and criteria: Exam, current control, essays and presentations.
Критерії оцінювання результатів навчання: The maximum score is 100.
Current control (Laboratory classes) - 40.
Examination control (written component - 50, oral component - 10) - 60.
Порядок та критерії виставляння балів та оцінок: 100–88 points – (“excellent”) is awarded for a high level of knowledge (some inaccuracies are allowed) of the educational material of the component contained in the main and additional recommended literary sources, the ability to analyze the phenomena being studied in their interrelationship and development, clearly, succinctly, logically, consistently answer the questions, the ability to apply theoretical provisions when solving practical problems; 87–71 points – (“good”) is awarded for a generally correct understanding of the educational material of the component, including calculations, reasoned answers to the questions posed, which, however, contain certain (insignificant) shortcomings, for the ability to apply theoretical provisions when solving practical tasks; 70 – 50 points – (“satisfactory”) awarded for weak knowledge of the component’s educational material, inaccurate or poorly reasoned answers, with a violation of the sequence of presentation, for weak application of theoretical provisions when solving practical problems; 49-26 points - ("not certified" with the possibility of retaking the semester control) is awarded for ignorance of a significant part of the educational material of the component, significant errors in answering questions, inability to apply theoretical provisions when solving practical problems; 25-00 points - ("unsatisfactory" with mandatory re-study) is awarded for ignorance of a significant part of the educational material of the component, significant errors in answering questions, inability to navigate when solving practical problems, ignorance of the main fundamental provisions.
Recommended books: 1. Інтернет речей для індустріальних і гуманітарних застосунків. У трьох томах. Том 1. Основи і технології / За ред. В. С. Харченка. – Міністерство освіти і науки України, Національний аерокосмічний університет ХАІ, 2019. – 605 с.
2. Інтернет речей для індустріальних і гуманітарних застосунків. У трьох томах. Том 2. Моделювання і розроблення / За ред. В. С. Харченка. – Міністерство освіти і науки України, Національний аерокосмічний університет ХАІ, 2019. – 547 с.
3. Інтернет речей для індустріальних і гуманітарних застосунків. У трьох томах. Том 3. Оцінювання та впровадження / За ред. В. С. Харченка. – Міністерство освіти і науки України, Національний аерокосмічний університет ХАІ, 2019. – 918 с
4. Николайчук Я.М., Возна Н.Я., Пітух І.Р. Проектування спеціалізованих комп’ютерних систем / Навчальний посібник – Тернопіль: ТзОВ "Терно-граф", 2010. – 392 с.
5. Схемотехніка електронних схем: У 3 кн. Кн. 2. Цифрова схемотехніка: Підручник / В.І. Бойко, А.М. Гурджій, В.Я. Жуйков та ін. – 2-ге вид., допов. і переробл. – К.: Вища шк., 2004. – 423 с.: іл.
6. Бабич М.П., Жуков І.А. Комп’ютерна схемотехніка: Навчальний посібник.- Вища школа, 2004.-399 с.: іл..
7. М. Бем, І. Городиський «Захист персональних даних: правове регулювання та практичні аспекти», 2021 https://rm.coe.int/handbook-pers-data-protect-2021-web/1680a37a69
8. Офіційний переклад General Data Protection Regulation (GDPR) https://www.kmu.gov.ua/storage/app/media/uploaded-files/es-2016679.pdf
9. Internet of Things for Architects: Architecting IoT solutions by implementing sensors, communication infrastructure, edge computing, analytics, and security. – Publisher: Packt Publishing Limited, ISBN: 9781788470599
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