IT Security Training
Career Path Benefit: Specializing in Cyber Security positions individuals as Cyber Security Analysts, Consultants, or Ethical Hackers. With the increasing demand for security professionals, this training provides a pathway to work in various industries securing sensitive data and information systems.
Ethical Hacking
Module 1: Introduction to Ethical Hacking
Understanding the role and responsibilities of an ethical hacker
Overview of hacking methodologies and attack vectors
Legal and ethical considerations in ethical hacking
Introduction to common hacking tools and techniques
Module 2: Foot printing and Reconnaissance
Gathering information about the target system and network
Techniques for foot printing, including passive and active reconnaissance
Using open-source intelligence (OSINT) and reconnaissance tools
Identifying target assets, infrastructure, and potential vulnerabilities
Module 3: Scanning Networks
Understanding network scanning methodologies and techniques
Performing port scanning, network mapping, and service identification
Using scanning tools such as Nmap, Nessus, and OpenVAS
Identifying live hosts, open ports, and active services
Module 4: Enumeration and Vulnerability Analysis
Enumerating network resources, users, and shares
Conducting vulnerability assessments and penetration tests
Identifying common vulnerabilities and misconfigurations
Analyzing the results of vulnerability scans and assessments
Module 5: System Hacking
Exploiting system vulnerabilities to gain unauthorized access
Techniques for password cracking, privilege escalation, and lateral movement
Leveraging malware, rootkits, and backdoors for persistence
Mitigating system hacking threats and securing system access
Module 6: Malware Threats
Understanding different types of malware: viruses, worms, Trojans, etc.
Analyzing malware behavior and characteristics
Techniques for malware detection, analysis, and removal
Best practices for malware prevention and protection
Module 7: Sniffing and Evasion Techniques
Understanding network sniffing methodologies and tools
Analyzing network traffic for sensitive information and credentials
Implementing network sniffing countermeasures and encryption
Techniques for evading intrusion detection systems (IDS) and antivirus solutions
Module 8: Social Engineering
Understanding the psychology of social engineering attacks
Techniques for eliciting information, gaining trust, and manipulating users
Common social engineering tactics: phishing, pretexting, tailgating, etc.
Educating users and implementing security awareness training programs
Module 9: Denial of Service (DoS) and Distributed Denial of Service (DDoS) Attacks
Understanding DoS and DDoS attack methodologies and techniques
Analyzing DoS/DDoS attack vectors and targets
Implementing DoS/DDoS attack mitigation strategies and defenses
Monitoring and responding to DoS/DDoS attacks in real-time
Module 10: Web Application Security
Understanding web application architecture and components
Identifying common web application vulnerabilities: SQL injection, XSS, CSRF, etc.
Conducting web application security assessments and penetration tests
Implementing secure coding practices and web application firewalls (WAFs)
Module 11: Wireless Network Security
Understanding wireless network technologies and protocols
Identifying common wireless security vulnerabilities and threats
Conducting wireless network penetration tests and security assessments
Implementing wireless network security best practices and encryption
Module 12: Cryptography and Encryption
Understanding cryptography principles and algorithms
Implementing encryption techniques for data protection and confidentiality
Analyzing cryptographic protocols and weaknesses
Secure key management and digital certificate management
Module 13: Incident Response and Forensics
Developing an incident response plan and procedures
Identifying and containing security incidents and breaches
Conducting digital forensics investigations and evidence collection
Legal and regulatory considerations in incident response and forensics
Module 14: Ethical Hacking in Practice
Practical exercises, labs, and hands-on simulations
Real-world scenarios and case studies
Applying ethical hacking techniques and best practices in a controlled environment
Ethical and responsible disclosure of vulnerabilities and findings
Module 15: Exam Preparation and Practice
Mock exams and practice questions to assess knowledge and readiness
Tips and strategies for exam success
Review of key concepts and topics covered in the course
Digital Forensics Analysis
Module 1: Introduction to Digital Forensics
Understanding the role and responsibilities of a digital forensic analyst
Overview of digital forensic methodologies and principles
Legal and ethical considerations in digital forensics
Introduction to common forensic tools and techniques
Module 2: Digital Evidence Acquisition
Understanding the digital evidence acquisition process
Techniques for preserving and collecting digital evidence
Imaging and cloning storage devices: hard drives, USB drives, mobile devices, etc.
Chain of custody documentation and evidence handling procedures
Module 3: File Systems and Data Recovery
Understanding file systems: FAT, NTFS, ext4, HFS+, APFS, etc.
Techniques for file system analysis and data recovery
Recovering deleted files and partitions
File carving and reconstruction techniques
Module 4: Forensic Investigation of Operating Systems
Forensic analysis of Windows, macOS, Linux, and mobile operating systems
Analyzing system artifacts: registry entries, event logs, prefect files, etc.
Identifying user activity and system events
Conducting memory forensics and volatile data analysis
Module 5: Network Forensics
Understanding network protocols and traffic analysis
Techniques for capturing and analyzing network traffic
Identifying suspicious network activity and intrusions
Investigating network-based attacks: phishing, malware infections, etc.
Module 6: Malware Analysis and Reverse Engineering
Understanding malware behavior and characteristics
Techniques for malware analysis and classification
Static and dynamic malware analysis methods
Reverse engineering malware samples: disassembly, debugging, and code analysis
Module 7: Mobile Forensics
Understanding mobile device architectures and operating systems
Techniques for extracting and analyzing data from mobile devices
Recovering artifacts from mobile applications, call logs, messages, etc.
Investigating mobile device security incidents and breaches
Module 8: Cloud Forensics
Understanding cloud computing architectures and services
Techniques for acquiring and analyzing data from cloud environments
Investigating cloud-based security incidents and data breaches
Legal and privacy considerations in cloud forensics
Module 9: Database Forensics
Understanding database architectures and management systems
Techniques for extracting and analyzing data from databases
Identifying database-related security incidents and unauthorized access
Investigating data breaches and SQL injection attacks
Module 10: Legal and Ethical Issues in Digital Forensics
Understanding digital evidence admissibility and legal requirements
Chain of custody documentation and expert testimony
Legal and regulatory frameworks: GDPR, HIPAA, PCI DSS, etc.
Ethical considerations in digital forensics investigations
Module 11: Incident Response and Forensic Readiness
Developing an incident response plan and procedures
Identifying and containing security incidents and breaches
Establishing forensic readiness: documentation, tools, and processes
Coordinating with law enforcement agencies and legal counsel
Module 12: Case Studies and Real-World Scenarios
Practical examples, case studies, and hands-on labs
Analyzing real-world forensic investigations and challenges
Applying forensic techniques and methodologies to specific scenarios
Reporting and presenting findings to stakeholders
Module 13: Exam Preparation and Practice
Mock exams and practice questions to assess knowledge and readiness
Tips and strategies for exam success
Review of key concepts and topics covered in the course
Certified Information Systems Security Professional (CISSP)
Course Overview:
The CISSP Training Program is a comprehensive and immersive course designed to prepare participants for the globally recognized Certified Information Systems Security Professional (CISSP) certification exam. This program covers the eight domains of the CISSP Common Body of Knowledge (CBK) in depth, providing participants with the knowledge, skills, and practical experience needed to excel in the field of information security.
Course Objectives:
Gain a thorough understanding of the fundamental principles and concepts of information security.
Master the content and domains outlined in the CISSP CBK.
Develop proficiency in key security areas including risk management, access control, cryptography, and security architecture.
Acquire hands-on experience through practical exercises, simulations, and case studies.
Prepare effectively for the CISSP certification exam and achieve success on the first attempt.
Course Details Outline:
- Introduction to CISSP
Overview of CISSP certification and its significance in the cybersecurity industry.
Examination structure, format, and registration process.
Introduction to the eight domains of the CISSP CBK and their interrelationships.
- Security and Risk Management
Security governance principles and frameworks.
Compliance requirements and legal considerations.
Risk management methodologies and practices.
Security policies, standards, procedures, and guidelines.
- Asset Security
Information and asset classification and handling.
Ownership, accountability, and data protection.
Secure data lifecycle management.
Physical and environmental security controls.
- Security Architecture and Engineering
Security models and architecture design principles.
Secure design principles and methodologies.
Cryptography fundamentals and its applications.
Security engineering processes and techniques.
- Communication and Network Security
Secure network architecture and design principles.
Secure communication channels and protocols.
Network components and infrastructure security.
Wireless security and mobile device management.
- Identity and Access Management (IAM)
Access control principles, models, and techniques.
Identity management lifecycle and its components.
Authentication and authorization mechanisms.
Identity and access provisioning and management.
- Security Assessment and Testing
Security assessment methodologies and techniques.
Security control testing and validation.
Vulnerability assessment and management.
Penetration testing and ethical hacking principles.
- Security Operations
Security operations principles and best practices.
Incident management and response procedures.
Disaster recovery and business continuity planning.
Physical and logical security controls.
- Software Development Security
Secure software development lifecycle (SDLC) principles.
Software security architecture and design.
Database security principles and practices.
Secure coding and testing methodologies.