Information Assurance Analysis

Johns Hopkins University via Coursera Specialization

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Overview

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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.

Syllabus

Course 1: Cybersecurity Foundations: Threats Networks, and IoT Protection
Course 2: Advanced Network Security and Analysis
Course 3: Artificial Intelligence Industrial Control Systems Security

Courses

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2 days 5 hours 32 minutes
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The course "Advanced Network Security and Analysis" dives into the essential skills needed to protect and analyze complex network environments. This course covers advanced topics like anonymization techniques, mobile application security, and in-depth analysis of DNS, HTTP, SMTP, and TCP protocols. Learners will gain practical experience in recognizing vulnerabilities and analyzing network traffic to detect potential threats. Each module offers hands-on insights into industry-standard tools and techniques, equipping students to address real-world security challenges confidently. Uniquely focused on practical application, the course empowers students to work with tools like Splunk, TCPDump, and Wireshark, ensuring they can navigate and mitigate complex network security scenarios. Through interactive content, learners will gain a comprehensive understanding of network protocols, explore the mechanics of cyber-attacks, and learn how to implement effective defenses. By the end of the course, students will have developed an advanced toolkit for safeguarding modern network infrastructures, making them valuable assets in any IT security environment.
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1 day 7 hours 37 minutes
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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.
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1 day 7 hours 35 minutes
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The course "Cybersecurity Fundamentals" provides a robust foundation in cybersecurity essentials, preparing you to recognize and manage threats in today's digital landscape. Across four comprehensive modules, you'll gain hands-on experience with malware identification, network traffic analysis, internet addressing, and IoT security protocols. In Module 1, explore the relationship between faults, vulnerabilities, and exploits, and learn essential malware identification techniques. Module 2 introduces NetFlow analysis with tools like SiLK and Wireshark, equipping you to collect and interpret network data. Module 3 deepens your understanding of IPv4 and IPv6, BGP routing, and host lookup tools, while Module 4 addresses IoT cybersecurity, where you’ll build a secure IoT framework using Docker and Node-Red. This course stands out by combining practical exercises with foundational knowledge, ensuring you’re ready to apply what you learn to real-world situations. Whether you’re a beginner or expanding your cybersecurity expertise, completing this course will enhance your ability to protect networks, manage internet space, and secure IoT devices—skills in high demand across the IT sector.