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URL: https://www.coursera.org/learn/artificial-intelligence-industrial-control-systems-security

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Artificial Intelligence Industrial Control Systems Security

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Artificial Intelligence Industrial Control Systems Security

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Gain insight into a topic and learn the fundamentals.
Intermediate level

Recommended experience

3 weeks to complete
at 10 hours a week
Flexible schedule
Learn at your own pace

Gain insight into a topic and learn the fundamentals.
Intermediate level

Recommended experience

3 weeks to complete
at 10 hours a week
Flexible schedule
Learn at your own pace

What you'll learn

  • Learn how to assess and address safety, privacy, and security concerns in AI systems and their impact on cybersecurity.

  • Understand the legal and policy frameworks surrounding AI technologies and their application in industrial settings.

  • Gain expertise in securing industrial control systems (ICS), including PLC, SCADA, and DCS, and mitigating their vulnerabilities.

  • Explore advanced ICS security strategies, focusing on risk assessment, incident response, and securing OT protocols and supply chains.

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Assessments

12 assignments

Taught in English

Build your subject-matter expertise

This course is part of the Information Assurance Analysis Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
  • Learn new concepts from industry experts
  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
  • Earn a shareable career certificate

There are 5 modules in this course

The course "Artificial Intelligence Industrial Control Systems Security" explores the intersection of artificial intelligence (AI) and industrial control systems (ICS) security, focusing on the safety, trust, and privacy of AI technologies within critical infrastructures. Learners will gain a comprehensive understanding of the key cybersecurity challenges faced by ICS and the role AI can play in mitigating these risks. Through the exploration of large language models (LLMs), regulatory frameworks, and advanced ICS protocols, students will learn how to implement robust security measures for AI systems and industrial control environments.

The course stands out by providing hands-on learning experiences in critical areas such as supply chain risks, cybersecurity for PLCs, and OT protocols. By combining AI principles with real-world ICS security practices, learners will be equipped to analyze and respond to emerging threats in both AI and ICS sectors. This unique approach ensures a deeper, more integrated understanding of how AI can be applied to enhance cybersecurity in industrial environments. Whether you're a professional or a beginner, this course will prepare you to tackle the most pressing security challenges at the intersection of AI and industrial control systems.

This course provides a comprehensive exploration of the safety, cybersecurity, and privacy implications of AI systems and large language models (LLMs). Students will evaluate the accountability of AI under the law and investigate governance frameworks. The course also focuses on the security challenges specific to Operational Technology (OT) and Industrial Control Systems (ICS), highlighting key vulnerabilities and operational differences from IT. Practical skills in using tools like Wireshark for cybersecurity analysis and implementing protective measures for PLCs will be emphasized. Through discussions and hands-on activities, learners will gain a robust understanding of the complex interplay between technology, security, and regulatory requirements.

What's included

1 video2 readings

1 videoβ€’Total 4 minutes
  • Specialization Introduction Video: Information Assurance Analysisβ€’4 minutes
2 readingsβ€’Total 10 minutes
  • Course Overviewβ€’5 minutes
  • Instructor Biography: Prof. Jason Crosslandβ€’5 minutes

This module explores the safety and cybersecurity aspects of AI systems, focusing on evaluating their security, privacy, and autonomous concerns. It also covers the applicability and functionality of large language models (LLMs), including how algorithms and learning patterns enhance their performance.

What's included

5 readings3 assignments6 plugins

5 readingsβ€’Total 165 minutes
  • Reading Referencesβ€’90 minutes
  • Interesting AI Reading List (Available from Amazon)β€’10 minutes
  • Basic Elements of Artificial Intelligence (AI)β€’15 minutes
  • Some General Impacts of Artificial Intelligence(AI) on Cyber Securityβ€’10 minutes
  • Self-Reflective Reading: Exploring AI Integration in IIoT and Beyondβ€’40 minutes
3 assignmentsβ€’Total 90 minutes
  • Artificial Intelligence (AI): Safety, Trust, Security and Privacyβ€’60 minutes
  • Artificial Intelligence in Cybersecurity – Opportunities and Challengesβ€’15 minutes
  • Ethical and Technological Dimensions of Large Language Models (LLMs)β€’15 minutes
6 pluginsβ€’Total 110 minutes
  • Video: Artificial Intelligence and Securityβ€’15 minutes
  • Video: Executive Symposium on AI: Ethical AI - Trust, Privacy, Biasβ€’30 minutes
  • Video: Artificial Intelligence - A Silver Bullet in Cyber Security?β€’22 minutes
  • Video: The Impact of AI on Cybersecurity: Top Concerns for CISO'sβ€’22 minutes
  • Video: Will AI Help or Hurt Cybersecurity? Definitely!β€’10 minutes
  • Video: Complete Look at Large Language Models for AIβ€’11 minutes

This module explores the legal accountability of AI systems, examining how they are regulated and governed. It covers human factors in computing systems and the policies that AI systems fall under. Students will assess how ChatGPT contributes to or detracts from value and analyze the impact of chatbots on large language models (LLMs).

What's included

3 readings3 assignments4 plugins

3 readingsβ€’Total 190 minutes
  • Reading Referencesβ€’100 minutes
  • AI Types & AI Governance Key Issuesβ€’30 minutes
  • Self-Reflective Reading: AI - Ethics, Responsibility, and Impactβ€’60 minutes
3 assignmentsβ€’Total 90 minutes
  • Artificial Intelligence: Policy and Governanceβ€’60 minutes
  • AI Strategy, Policy, and Governanceβ€’15 minutes
  • Economic and Policy Implications of Artificial Intelligenceβ€’15 minutes
4 pluginsβ€’Total 78 minutes
  • Video: AI Strategy, Policy, and Governanceβ€’22 minutes
  • Video: Large Language Common Modelsβ€’13 minutes
  • Video: Artificial Intelligence: The Economic and Policy Implications - Keynote by Susan Atheyβ€’36 minutes
  • Video: How Chatbots and Large Language Models Workβ€’7 minutes

This course explores the Purdue Enterprise Reference Architecture Model and Unified Facilities Criteria, providing a framework for industrial control systems (ICS). It covers basic control systems like PLC, SCADA, and DCS, and examines the operational differences between IT and OT environments. Students will learn about key cybersecurity control elements to enhance ICS security, identify top vulnerabilities from a cyber perspective, and understand the usage and implementation of PLC application firewalls and software whitelisting.

What's included

4 readings3 assignments3 plugins

4 readingsβ€’Total 430 minutes
  • Reading Referencesβ€’180 minutes
  • Industrial Control Systems Introductionβ€’30 minutes
  • Reading Referencesβ€’180 minutes
  • Self-Reflective Reading: IT-OT Convergence - Key Differences and Cybersecurity Challenges  β€’40 minutes
3 assignmentsβ€’Total 90 minutes
  • Industrial Control Systems Iβ€’60 minutes
  • ICS Cybersecurity: Threats, Risks, and Emerging Trendsβ€’15 minutes
  • Fundamentals of Securing Industrial Networksβ€’15 minutes
3 pluginsβ€’Total 154 minutes
  • Video: ICS Cyber Attacks - Fact vs. Fictionβ€’40 minutes
  • Video: Introduction to Industrial Control Systems Threats Risks and Future Cybersecurity Trendsβ€’54 minutes
  • Video: Securing Industrial Networks Basic Cyber Security for Industrial Control Systemsβ€’60 minutes

In this module, we will continue our discussion of Industrial Control System (ICS) networks. Specifically discussing what encompasses supply chain risks, Original Equipment Manufacturers/Vendors, and techniques for mitigating these risks. We will also discuss and examine several different types of ICS/OT protocols regarding their characteristics, purposes/implementations, the cybersecurity concerns with various OT proprietary and open protocols, and the differences between OT and IT environments.

What's included

3 readings3 assignments4 plugins

3 readingsβ€’Total 360 minutes
  • Reading Referencesβ€’200 minutes
  • ICS Part IIβ€’120 minutes
  • Self-Reflective Reading: Cybersecurity Challenges in the Electric Sectorβ€’40 minutes
3 assignmentsβ€’Total 90 minutes
  • Industrial Control Systems IIβ€’60 minutes
  • Securing ICS/OT Networks: Risk, Protocols, and Cybersecurity Strategiesβ€’15 minutes
  • Understanding Cybersecurity in Industrial Control Systems (ICS)β€’15 minutes
4 pluginsβ€’Total 36 minutes
  • Video: Cybersecurity for Industrial Control Systems - Why It Matters and How To Stay Protectedβ€’10 minutes
  • Video: IT vs. OT Security -What’s the Difference?β€’7 minutes
  • Video: Industrial Control System Security Current Threats and Best Practicesβ€’4 minutes
  • Video: Network Architecture | SANS ICS Conceptsβ€’15 minutes

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Instructor

Johns Hopkins University
9 Coursesβ€’6,920 learners

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To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.

When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.

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