About Information Assurance Analysis Specialization course
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.
