lec 10.pptx

CYB236 Chapter 10 Distributed intrusion detection Topic 10 Distributed intrusion detection 2 01 Definition Lecture Objectives Key 02Components 04 Taxonomy of Anomaly Detection IDS Exchange Use Cases Systems Format 03 3 Benefits Distributed Intrusion Detection  Definition of Distributed Intrusion De...

CYB236 Chapter 10 Distributed intrusion detection Topic 10 Distributed intrusion detection 2 01 Definition Lecture Objectives Key 02Components 04 Taxonomy of Anomaly Detection IDS Exchange Use Cases Systems Format 03 3 Benefits Distributed Intrusion Detection  Definition of Distributed Intrusion Detection:- Distributed intrusion detection is a network security approach that utilizes multiple sensors strategically placed throughout a network to monitor and detect potential security breaches or unauthorized activities. 4 Key Components of Distributed Intrusion Detection:  1. Intrusion Detection Sensors: Sensors placed throughout the network to monitor and detect security breaches or attacks.  2. Data Collection and Aggregation: Efficiently collecting and centralizing data from sensors for analysis.  3. Centralized Management Console: Control center for system configuration, administration, and monitoring.  4. Data Analysis and Processing: Analyzing collected data to identify potential threats. 5 Key Components of Distributed Intrusion Detection:  5. Alert Generation and Notification: Generating alerts to inform security personnel when threats are detected..  6. Collaboration and Communication: Sensors sharing information and detection capabilities to improve accuracy.  7. Incident Response and Remediation: Supporting investigation and remediation of security incidents.  8. Continuous Monitoring and Maintenance: Ongoing monitoring and updates to ensure system effectiveness. 6 Benefits of Distributed Intrusion Detection  Broad Coverage: Multiple sensors provide extensive monitoring across the network, reducing blind spots and increasing the chances of detecting threats.  Improved Accuracy: Collaboration among sensors enhances detection accuracy by crossvalidating alerts and reducing false positives and false negatives.  Timely Threat Detection: Rapidly identifies threats, minimizing the time between detection and response, reducing potential damage.  Proactive Defense: Adapts to new attack patterns and shares threat intelligence, ensuring the system remains effective against evolving threats. 7 Benefits of Distributed Intrusion Detection  Scalability and Flexibility: Easily scalable to accommodate network growth and adaptable to changes in network topology or sensor placement.  Efficient Incident Response: Streamlined incident response through centralized management, providing a unified view and facilitating coordinated action.  Simplified Management: Centralized management console simplifies system configuration, administration, and monitoring for efficient maintenance. 8 Examples of use cases of distributed intrusion detection  Enterprise Networks: Protecting internal networks from unauthorized access and data breaches.  Cloud Environments: Ensuring the security of cloud-based infrastructure and services.  Industrial Control Systems: Detecting potential threats to critical infrastructure and operational technology.  Financial Institutions:  By deploying sensors across their networks, banks and financial organizations can detect and respond to security incidents, protecting customer data and financial transactions. 9 THANKS! Best Regards!