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Cyber Security, Industrial Data Protection and Data integrity
Module developed by ingenjör4.0

Cyber Security, Industrial Data Protection and Data integrity

Starting date: 09/27/2022
Price: 1 995 SEK ex. vat

This module focuses cyber-security definitions and models as well as information systems certification.

Overview

This course is designed to address the concepts of data privacy, integrity, and security in the context of Industry 4.0, cyber-physical production systems, and connected industry. It provides learners with basic cyber-security definitions and models as well as an overview of the role of AI in the domain. The course will cover data classification and standards for risk analysis, encryption standards, public-key cryptography, digital signatures/certificates, redundancy, backup mechanisms, user authentication and biometric identification, risk and vulnerability assessment, and threat modeling.

The schedule
September 27 – The module starts
October 24, 9:00 AM - 11:00 AM CEST — 1st Webinar - “Invited guest”
October 25, 9:00 AM - 9:45 AM CEST — 2nd Webinar - “Q&A session”
Learning objectives
Understand and explain the fundamental concepts of computer security, including data availability, integrity and confidentiality, and their interrelations, in the context of cyber-physical systems and the industrial Internet of Things (IoT).
Become familiar with the standards used for risk analysis, and the concept of fault tolerance.
Get an overview of mitigation measures proposed by various standards, the tools available for implementation of data integrity, and the idea of neural networks over encrypted data.
Module structure

Learning material consist of recorded audio-visual lectures (2 to 4 lectures of 1-2h each), plus slides and other learning materials like book chapters, papers, links to instructional videos, and self-assessment tests.

Time commitment

To complete this module, the participant is expected to schedule approximately 4 hours per week over 5 weeks (20 hours in total).

Content
Important

Please note that a minimum of 10 participants is required for the module to start.

After applying to the program, please secure dates in your calendar to be able to join planned webinars and assure time available required for learning.

A unique module created in co-operation between academic partners
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