Course

Objective:

Learning Outcomes:

• Blockchain: Examine the security mechanisms behind blockchain technology, its applications in various sectors, including healthcare, and analyze use cases such as IBM Hyperledger Fabric
• Information Security: Identify and implement fundamental design security principles, utilize the adversarial model to enhance security policies, and manage access controls, malware defenses, and system hardening to protect organizational assets
• Network Security: Analyze network traffic, understand the structure of TCP/IP packets, implement firewalls and intrusion detection/prevention systems, and secure wireless communications to safeguard network infrastructures
• Cloud Foundations: Explain the fundamental concepts of cloud computing, including its evolution, benefits, challenges, and the role of system virtualization, to design and manage cloud-based services and infrastructures
• Cyber Threat Hunting: Adopt a proactive approach to cybersecurity by identifying and mitigating threats that have evaded existing security measures, utilizing tools like the MITRE ATT&CK Framework and analyzing logs and open-source intelligence
• Digital Forensics: Conduct thorough investigations of data breaches and security incidents by analyzing operating systems, disk structures, and utilizing forensic tools to gather, preserve, and report evidence for legal proceedings
• Data Mining: Apply data mining techniques to uncover hidden patterns and insights within large datasets, enhancing decision-making processes and strategic planning
• Cognitive Computing: Explore the integration of computer science with neuroscience to develop systems that mimic human cognitive processes, enhancing adaptability and decision-making capabilities

General Topics: