Cisco Cybersecurity Certifications - CyberOps Professional
1 Introduction to CyberOps
1-1 Understanding CyberOps
1-2 Role of a CyberOps Analyst
1-3 CyberOps Professional Certification Overview
2 Cyber Threat Landscape
2-1 Types of Cyber Threats
2-2 Threat Actors and Motives
2-3 Threat Intelligence Sources
3 Network Fundamentals
3-1 OSI and TCPIP Models
3-2 Network Devices and Their Functions
3-3 Network Addressing (IP, MAC)
3-4 Subnetting and VLANs
4 Security Fundamentals
4-1 CIA Triad (Confidentiality, Integrity, Availability)
4-2 Security Policies and Procedures
4-3 Risk Management and Mitigation
5 Network Security Devices
5-1 Firewalls
5-2 Intrusion Detection Systems (IDS)
5-3 Intrusion Prevention Systems (IPS)
5-4 Next-Generation Firewalls (NGFW)
6 Security Information and Event Management (SIEM)
6-1 SIEM Architecture and Components
6-2 Log Management and Analysis
6-3 Correlation Rules and Alerts
6-4 Reporting and Dashboards
7 Incident Response
7-1 Incident Response Process (IRP)
7-2 Preparation and Detection
7-3 Containment, Eradication, and Recovery
7-4 Post-Incident Activity and Lessons Learned
8 Threat Hunting
8-1 Threat Hunting Concepts
8-2 Threat Hunting Techniques
8-3 Tools and Platforms for Threat Hunting
8-4 Case Studies and Real-World Scenarios
9 Malware Analysis
9-1 Types of Malware
9-2 Malware Analysis Techniques
9-3 Tools for Malware Analysis
9-4 Case Studies and Real-World Scenarios
10 Cloud Security
10-1 Cloud Security Concepts
10-2 Cloud Security Models (IaaS, PaaS, SaaS)
10-3 Cloud Security Best Practices
10-4 Cloud Security Tools and Platforms
11 Automation and Orchestration
11-1 Automation Concepts in CyberOps
11-2 Orchestration Tools and Platforms
11-3 Use Cases for Automation and Orchestration
11-4 Security Automation Best Practices
12 CyberOps Professional Capstone Project
12-1 Project Planning and Requirements
12-2 Implementation and Execution
12-3 Testing and Validation
12-4 Documentation and Presentation
Intrusion Detection Systems (IDS) Explained

Intrusion Detection Systems (IDS) Explained

1. Network-Based IDS (NIDS)

A Network-Based Intrusion Detection System (NIDS) monitors network traffic for suspicious activity and policy violations. It analyzes data packets across the entire network to detect potential threats. NIDS can be deployed at strategic points within the network to maximize its effectiveness.

Example: Think of a NIDS as a security camera in a shopping mall. It continuously monitors all activities within its field of view, alerting security personnel to any suspicious behavior.

2. Host-Based IDS (HIDS)

A Host-Based Intrusion Detection System (HIDS) is installed on individual hosts or servers to monitor system activities and detect unauthorized changes. HIDS focuses on the integrity of the host system, including file system changes, log file analysis, and user activities.

Example: Consider a HIDS as a security guard stationed inside a store. This guard monitors all activities within the store, ensuring that no unauthorized changes or thefts occur.

3. Signature-Based IDS

Signature-Based Intrusion Detection Systems use predefined patterns or signatures of known threats to detect malicious activities. These signatures are typically stored in a database and are compared against incoming network traffic or system activities.

Example: Imagine a signature-based IDS as a virus scanner. It uses a database of known virus signatures to scan files and detect any malicious code that matches the signatures.

4. Anomaly-Based IDS

Anomaly-Based Intrusion Detection Systems create a baseline of normal behavior and detect deviations from this baseline as potential threats. These systems use statistical analysis and machine learning techniques to identify unusual patterns that may indicate an intrusion.

Example: Think of an anomaly-based IDS as a financial auditor. The auditor establishes a baseline of normal spending patterns and alerts management to any unusual transactions that deviate from this baseline.

5. Hybrid IDS

A Hybrid Intrusion Detection System combines the features of both signature-based and anomaly-based detection methods. This approach leverages the strengths of both techniques to provide a more comprehensive and accurate detection capability.

Example: Consider a hybrid IDS as a combination of a security camera and a security guard. The camera detects known threats based on predefined patterns, while the guard monitors for unusual activities that may not have a known pattern.

Understanding the different types of Intrusion Detection Systems is crucial for anyone pursuing the Cisco CyberOps Professional certification. By mastering these concepts, you can effectively detect and respond to potential threats in various network environments.