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October 7, 2024
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AI-Driven Cybersecurity and Privacy Solutions. Gain expertise in AI, cybersecurity, and industrial control systems security, with a focus on privacy, governance, risk assessment, and incident response.
Instructor: Jason Crossland
Included with
Recommended experience
Intermediate level
A background in cybersecurity or related fields, with basic knowledge of AI and industrial control systems, is recommended for this specialization.
Recommended experience
Intermediate level
A background in cybersecurity or related fields, with basic knowledge of AI and industrial control systems, is recommended for this specialization.
Learn how AI impacts cybersecurity, focusing on safety, trust, privacy, and policy governance for secure AI integration.
Understand industrial control systems' architecture, vulnerabilities, and cybersecurity controls to protect OT environments.
Explore advanced ICS security topics, such as supply chain risks, OT protocols, and cybersecurity mitigation strategies for real-world applications.
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December 2024
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This specialization is designed for post-graduate students aiming to advance their skills in AI, cybersecurity, & industrial control systems (ICS) security. Through three in-depth courses, you will explore AI safety, trust, security, privacy, and critical topics like AI governance, policy frameworks, and the impact of large language models (LLMs) such as ChatGPT. Also, you will gain a comprehensive understanding of (ICSs), including their architecture, security risks, and best practices for risk assessment and incident response. You will be equipped to address cybersecurity challenges within both AI and operational technology (OT) systems, secure industrial control networks, and manage the convergence of AI and cybersecurity in modern infrastructures. This program prepares you to navigate the evolving landscape of AI and ICS security, positioning you for roles that require expertise in securing both AI technologies and industrial networks. The specialization also covers malware, anti-virus, vulnerability principles, Internet of Things (IoT), Mobile Application Security, Border Gateway Protocols (BGP), anonymization, ICS, DNS Resource Record Types, and analyzing DNS, HTTP, SMTP, and TCP protocols. Tools include SiLK, NetFlow, Wireshark, IPTables, Splunk, Node-Red IoT framework, virtual machines, and TCPDump. Further exploration will include vulnerabilities and countermeasures for IT & OT protocols like WNAN, ZigBee, EMV, SIGFOX, CIP, MODBUS, DNP3, OPC, HART, BACnet, & ICCP.
Applied Learning Project
In the Information Assurance Analysis specialization, learners tackle hands-on projects that develop key skills in network traffic analysis, threat detection, and security assessment. In one project, students set up a SiLK or Wireshark NetFlow tool to gather and analyze home network traffic, interpreting data for abnormalities. Another project focuses on identifying and countering clickjacking attacks, where learners investigate tactics, techniques, and procedures (TTPs) and propose preventative strategies. Additionally, learners employ Splunk to analyze logs, exploring powerful data visualization and anomaly detection techniques. These projects offer practical, immersive training in securing digital environments against threats.
Understand the relationship between malware, vulnerabilities, and exploits, and identify major types of malware using catalogs and signatures.
Learn how to collect and analyze network traffic with NetFlow and tools like SiLK or Wireshark to detect and interpret potential threats.
Explore internet addressing fundamentals, including IPv4 and IPv6, and utilize tools like WHOIS and BGP routing for host and network lookups.
Gain practical experience in securing IoT environments by building frameworks, understanding privacy risks, and implementing security measures.
Understand anonymization methods, challenges, and legal considerations for ensuring data privacy in network traffic.
Recognize security threats in mobile applications, including risks from APIs and cloud-based services, and explore best practices for defense.
Analyze DNS, HTTP, and SMTP protocols to identify abnormal traffic patterns, enhancing the ability to detect potential cyber threats.
Capture and interpret TCP sessions to identify attack methods like sequence number spoofing and TCP scanning, using tools like TCPDump and Wireshark.
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.
The mission of The Johns Hopkins University is to educate its students and cultivate their capacity for life-long learning, to foster independent and original research, and to bring the benefits of discovery to the world.
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The specialization is designed to be completed at your own pace, but on average, it is expected to take approximately 3 months to finish if you dedicate around 5 hours per week. However, as it is self-paced, you have the flexibility to adjust your learning schedule based on your availability and progress.
You are encouraged to take the courses in the recommended sequence to ensure a smoother learning experience, as each course builds on the knowledge and skills developed in the previous ones. However, you are not required to follow a specific order, and you can take the courses in the order that best suits your needs and prior knowledge.
This course is completely online, so there’s no need to show up to a classroom in person. You can access your lectures, readings and assignments anytime and anywhere via the web or your mobile device.
If you subscribed, you get a 7-day free trial during which you can cancel at no penalty. After that, we don’t give refunds, but you can cancel your subscription at any time. See our full refund policy.
Yes! To get started, click the course card that interests you and enroll. You can enroll and complete the course to earn a shareable certificate, or you can audit it to view the course materials for free. When you subscribe to a course that is part of a Specialization, you’re automatically subscribed to the full Specialization. Visit your learner dashboard to track your progress.
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.
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. If you only want to read and view the course content, you can audit the course for free. If you cannot afford the fee, you can apply for financial aid.
This Specialization doesn't carry university credit, but some universities may choose to accept Specialization Certificates for credit. Check with your institution to learn more.
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