CyberShIeld INNOVATORS

Teaches the basic concepts of cybersecurity by covering definitions, components, and risk analysis methods. It includes topics such as definitions, components, social engineering attacks, and risk analysis. Cyberbullying and information ethics law are also examined.

• Definitions and components
• Password security and risk analysis
• Social engineering attacks
• Metadata analysis methods
• Cyberbullying
• Information ethics and law

Teaches the fundamentals of computer networks covering OSI, TCP/IP network models and data transmission processes. Examines the functions of network devices and protocol structures to build a solid foundation for advanced network security.

• Network layers and networking
• Steganography techniques
• Network protocols and devices
• IP addressing and routing

Teaches the structure of the Linux operating system, file system hierarchy and directory structure. Includes user and group authorization mechanisms, basic Linux commands and shell programming basics.

• Linux file and directory structure
• User/group authorization mechanisms
• Basic Linux commands
• Shell programming basics

Addresses the concept of Open Source Intelligence (OSINT) and its applications. Teaches how to analyze robots.txt and sitemap files for search engines and intelligence work. Develops skills in tracking traces on the internet.

• Robots.txt and sitemap analysis
• Google Dorking techniques
• Steghide/Exiftool
• Reconnaissance, information gathering, and vulnerability scanning

Details the penetration testing process for network/system environments. Practically conveys reconnaissance, vulnerability scanning, exploitation techniques, and privilege escalation steps. Includes real system simulations.

• Metasploitable
• Reconnaissance, information gathering, and vulnerability scanning
• Vulnerability scanning and exploitation
• Password attacks and exploitation techniques
• Active knee pentest
• Lateral/Horizontal Movement
• Script writing and Powershell Empire

Introduces artificial intelligence-based security systems and threat analysis methods. Addresses security applications of machine learning and deep learning techniques with real scenarios.

• Machine learning and cybersecurity
• Attack detection and anomaly analysis
• Threat classification methods
• Security automation applications

Introduces professional fields and competency areas in the cybersecurity sector. Helps create a personal career roadmap by providing information about CV preparation, interview processes, and certifications.

• CV preparation and technical interview processes
• Cybersecurity Background
• Field of Expertise
• Creating a career roadmap