INFORMATION SECURITY AND AUDIT
SOLVED PRACTICE QUESTIONS

INTRUSION DETECTION SYSTEM

An Intrusion Detection System (IDS) is a critical component of an organization's security infrastructure designed to detect unauthorized access, anomalies, and other potentially malicious activities within a network or on individual systems. 

Types of Intrusion Detection Systems

  1. Network-based Intrusion Detection System (NIDS)

    • Function: Monitors network traffic for suspicious activities.
    • Placement: Typically deployed at key points within the network, such as at the perimeter or in the DMZ (Demilitarized Zone).
    • Capabilities: Can analyze network packets, monitor traffic patterns, and detect known attacks and anomalies.
  2. Host-based Intrusion Detection System (HIDS)

    • Function: Monitors activities on individual hosts or devices.
    • Placement: Installed on individual servers, workstations, or other endpoints.
    • Capabilities: Can track system logs, file integrity, user activities, and system configurations.

Intrusion Detection Methods

  1. Signature-based Detection

    • Description: Identifies known threats by comparing activities against a database of pre-defined attack signatures.
    • Pros: High accuracy for known threats.
    • Cons: Cannot detect new or unknown threats without updated signatures.
  2. Anomaly-based Detection

    • Description: Establishes a baseline of normal behavior and identifies deviations from this baseline.
    • Pros: Can detect novel or unknown threats.
    • Cons: Higher false-positive rate, as normal variations might be flagged as suspicious.
  3. Behavioral-based Detection

    • Description: Monitors the behavior of users and systems to identify potentially malicious activities.
    • Pros: Can detect a wide range of suspicious activities, including insider threats.
    • Cons: Requires comprehensive monitoring and may generate false positives.

Advantages of Using IDS

  1. Early Detection: Identifies potential threats before they can cause significant damage.
  2. Forensic Analysis: Provides detailed logs and alerts that can be used for post-incident analysis and investigations.
  3. Compliance: Helps organizations meet regulatory and compliance requirements by providing monitoring and reporting capabilities.
  4. Visibility: Offers insights into network and host activities, helping administrators understand the security posture of their environment.

Challenges and Limitations

  1. False Positives: An IDS may generate false alerts, requiring administrators to spend time analyzing benign activities.
  2. False Negatives: An IDS might miss sophisticated or novel attacks, especially if it relies solely on signature-based detection.
  3. Resource Intensive: Monitoring, analyzing, and responding to IDS alerts can be resource-intensive and may require dedicated security personnel.

Best Practices for IDS Implementation

  1. Regular Updates: Keep signature databases and anomaly profiles up to date.
  2. Tuning: Adjust IDS configurations to minimize false positives and tailor detection capabilities to the specific environment.
  3. Integration: Combine IDS with other security tools, such as firewalls and SIEM (Security Information and Event Management) systems, for comprehensive security monitoring.
  4. Training: Ensure that security personnel are well-trained in interpreting IDS alerts and responding appropriately.

SIGNATURE BASED IDS