Adaptive Network Security Policies for APT Detection
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Solution Overview
Problem
Single-purpose network security systems with limited context and static policy decisions are ineffective against Advanced Persistent Threats (APTs) that are intermingled with regular network traffic, allowing threats to remain undetected for extended periods.
Innovation Solution
An integrated network security system with a progressive policy engine (PPE) that integrates security intelligence from multiple network security systems, dynamically reassessing and updating security policies through a control plane and data plane architecture, utilizing a dynamic feedback loop to continuously evaluate and adjust security measures based on real-time traffic analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a single-purpose network security system with static policy decisions is used, then the system is simple to operate and implement, but it is ineffective against Advanced Persistent Threats that are intermingled with regular network traffic
Solution Approach 1:
The patent combines multiple single-purpose network security systems into a single integrated system with a progressive policy engine. This engine dynamically integrates security intelligence from various sources (firewall, intrusion detection, antivirus, etc.) and coordinates their policies to effectively detect and respond to APTs that span multiple security layers, thereby resolving the contradiction between simplicity and effectiveness.
Solution Approach 2:
The patent introduces a progressive policy engine that dynamically adjusts security policies based on real-time analysis of network traffic and threat intelligence. Instead of static policies, the system continuously learns from new threats and adapts its detection and response mechanisms, enabling it to effectively counter APTs while maintaining operational simplicity through automated dynamic adjustment.
2Reliability
If static security policies are used, then the system is easy to manage, but threats can remain undetected for extended periods
Solution Approach 1:
The patent implements a feedback mechanism where the progressive policy engine continuously monitors network traffic, analyzes security events from multiple security systems, and uses this information to dynamically update security policies. This closed-loop feedback system ensures that policies evolve with emerging threats, maintaining high detection capability while the automation of this process preserves ease of operation by eliminating manual policy updates.
Solution Approach 2:
The progressive policy engine operates autonomously, self-managing the analysis of security intelligence and the adjustment of security policies without requiring constant human intervention. This self-service capability allows the system to maintain high threat detection capability through continuous adaptation while keeping policy management simple for operators.
3Reliability
If multiple network security systems are integrated with dynamic policy reassessment, then detection and mitigation of APTs is enhanced, but the system complexity increases
Solution Approach 1:
The progressive policy engine serves as a universal coordinating component that handles multiple security functions (firewall management, intrusion detection, antivirus coordination, etc.) through a single integrated architecture. This multi-functional engine reduces overall system complexity by providing a unified control plane that manages diverse security systems, rather than requiring separate management mechanisms for each system.
Solution Approach 2:
The progressive policy engine acts as an intermediary layer between various security systems and the network traffic. It mediates the interaction between different security components, integrating their intelligence and coordinating their responses to APTs. This intermediary architecture simplifies the overall system by providing a centralized point of control that manages the complexity of multiple integrated security systems.
Data Source
AI summary
Adaptive network security policies can be selected by assigning a number of risk values to security intelligence associated with network traffic, and identifying a number of security policies to implement based on the risk values.