Intrusion Detection Probes for Provisionable Data Center Security
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Solution Overview
Problem
Provisionable utility data centers face significant security challenges due to their complex and dynamic nature, with potential vulnerabilities to external and internal intrusions, including unauthorized access and attacks through numerous communication links, which existing systems struggle to effectively mitigate.
Innovation Solution
A method employing network and host intrusion detection probes within a provisionable data center, utilizing a trust hierarchy to differentiate and protect management components from external and internal threats, with probes deployed around firewalls and resource managers to detect and respond to intrusions, and customizable HIDS and NIDS systems to minimize false alerts and enhance security.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If intrusion detection probes are deployed throughout the provisionable data center to detect and respond to intrusions, then security protection capability is improved, but system complexity and cost increase
Solution Approach 1:
The intrusion detection system is segmented into multiple distributed probes deployed at different locations within the provisionable data center. Each probe monitors specific network segments, resource pools, or management components independently, allowing the system to detect intrusions across the entire infrastructure without requiring a monolithic complex system.
Solution Approach 2:
Intrusion detection probes are deployed in advance throughout the data center infrastructure, positioned strategically around firewalls, resource managers, and management components. This preliminary deployment ensures that detection capabilities are already in place before intrusions occur, enabling immediate detection and response without adding complexity during security events.
2Measurement precision
If multiple intrusion detection probes are deployed to cover all communication links and resources, then detection precision is improved, but resource consumption increases
Solution Approach 1:
Each intrusion detection probe is configured with specific detection rules and parameters tailored to its local environment and monitored resources. Probes deployed near external communication links focus on external threat patterns, while probes monitoring internal resource pools focus on unauthorized access patterns. This localized detection approach improves precision without requiring every probe to consume maximum resources for all detection types.
Solution Approach 2:
The system employs multiple probes monitoring the same critical areas with varying detection sensitivities and rule sets. This partial redundancy ensures that intrusions are detected with high precision through multiple perspectives, while individual probes can operate with moderate resource consumption since the collective system achieves comprehensive coverage.
3Reliability
If a trust hierarchy system is implemented to differentiate and protect management components, then security differentiation capability is improved, but device complexity increases
Solution Approach 1:
The trust hierarchy system segments management components into distinct trust levels, with each level having specific protection requirements and detection rules. Management components are divided into high-trust zones (core management functions) and low-trust zones (provisioning interfaces), allowing the system to apply appropriate security measures to each segment without managing a monolithic complex security structure.
Solution Approach 2:
The trust hierarchy system changes the security parameters (trust levels, detection sensitivity, response actions) based on the specific management component being protected. Core management components receive higher trust ratings with stricter protection, while external-facing provisioning interfaces operate at lower trust levels with different detection parameters. This parameter-based approach enables security differentiation without requiring completely separate management systems for each component.
Data Source
AI summary
Disclosed is a system for protecting security of a provisionable network, comprising: a network server, a network client communicatively coupled with the server, a pool of resources coupled with the server for employment by the client, a resource management system for managing the resources, and an intrusion detection system enabled to detect and respond to an intrusion in said network.