Welcome to the Systems and Application Security Course! This course delves into the complexities of computer code that can be described as harmful or malicious. It covers a wide range of topics related to both technical and non-technical attacks. Throughout the course, you will learn to identify malicious code activity and gain insights into various countermeasures. Additionally, you will explore the processes for operating endpoint device security, mobile device management, and configuring cloud security. The course also delves into securing big data systems and virtual environments. This comprehensive program will help you understand key concepts and best practices for securing systems and applications.
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The Systems and Application Security Course modules cover a wide array of topics, including identifying and analyzing malicious code, implementing endpoint device security, operating and configuring cloud security, securing big data systems, and a comprehensive case study and end-of-course assessment.
Identify and Analyze Malicious Code and Activity: This module provides an in-depth understanding of malicious code and its countermeasures. It covers software exploitation methods, code signing, social engineering, and security awareness training. Students will also gain insights into malicious web activity and zero-day exploits.
Implement and Operate Endpoint Device Security: This module focuses on endpoint device security, including HIDS, Trusted Platform Module (TPM), and BYOD policy considerations. Students will explore the best practices for securing endpoint devices and mitigating potential security risks.
Operate and Configure Cloud Security: This module delves into the essential characteristics of clouds, hybrid cloud security, virtualization, hypervisor, and legal considerations. Students will learn about technologies to address cloud security threats and the application of defined controls for personally identifiable information (PII).
Secure Big Data Systems & Operate and Secure Virtual Environments: This module covers the complexities of secure big data systems, including interpreting big data and addressing key challenges. It also explores secure virtual environments, SDN, virtual appliances, DRS, common attacks, network security, and virtual machine security.
Case Study: This module provides a comprehensive case study to apply the knowledge gained throughout the course. It offers practical insights and real-world scenarios to reinforce the understanding of systems and application security.
End-of-Course Assessment: In this module, students will undergo an assessment to evaluate their understanding of the course material. It aims to ensure that students have acquired the knowledge and skills necessary to address security challenges in systems and applications effectively.
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