Introduction to the Internet of Things and Big Data Analytics

Major: Cybersecurity
Code of subject: 6.125.01.E.114
Credits: 3.00
Department: Information Technology Security
Lecturer: Professor Olena Nyemkova
Semester: 6 семестр
Mode of study: денна
Learning outcomes: KN 10. Use modern software and hardware and evaluate the effectiveness of the quality of decisions. KN 17. Ability to use the skills of experimental calculations of characteristics and selection of elements of a specific automated system, taking into account the required level of information protection in the organization (enterprise). KN 22. Knowledge of basic models of vulnerabilities, threats and attacks to justify options for building an automated information security monitoring system for information and communication systems and its main components. KN 1.3. Provide processes of protection and functioning of information and telecommunication (automated) systems based on practices, skills and knowledge of structural (structural-logical) schemes, network topology, modern architectures and models of protection of electronic information resources with reflection of interconnections and information flows, processes for internal and remote components. KN 1.4. Apply theories and methods of protection to ensure the security of information in information and telecommunications systems. KN 1.6. Solve problems of protection of information processed in information and telecommunication systems using modern methods and means of cryptographic protection of information.
Required prior and related subjects: Computer networks Database protection Blockchain technology
Summary of the subject: The course forms an idea of the main trends in the field of security of the Internet of Things and Big Data Analytics. Provides the ability to analyze threats to Internet of Things systems based on the attacker's model. Provides knowledge of the classification of vulnerabilities in the "Internet of Things" according to OWASP and IoT Attack Surface Areas Project. Provides the ability to independently apply the principles of security in the Internet of Things: at the level of devices and gateways, network and transport protocols, applications, as well as independently apply cryptographic mechanisms and protocols adapted for devices with limited computing power.
Assessment methods and criteria: The following methods are used to diagnose knowledge: oral individual interview at each laboratory lesson, individual defense of laboratory reports; credit test at the end of the semester. The maximum score in points: 100, in particular: Execution and defense of laboratory work: 70, exam control: 30.
Recommended books: 1. Internet of Things for Industry and Human Applications. Volume 1. Fundamentals and Technologies. Edited by V. S. Kharchenko. National Aerospace University "Kharkiv Aviation Institute". 2019. - 608 p. 2. A.V. Parkhomenko, OM Gladkova, JI Zalyubovsky, Engineering of embedded systems: Textbook. Zaporozhye: Wild Field, 2017. 3. Arduino development environment. [Electronic resource]. - Access mode: http://www.arduino.cc/en/Main/Software 4. Sommer U. Programming of microcontroller boards Arduino / Freeduino.- SPb .: BHV - St. Petersburg, 2012.- 256 p.