Multi-Stage Attack Emulation for Network Security Validation
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Solution Overview
Problem
Current internet security testing methods lack the capability to effectively emulate multi-stage attacks at a node on a network, failing to provide comprehensive validation of security controls against sophisticated, persistent threats.
Innovation Solution
A method involving an agent executed on an emulation engine to simulate a deterministic attack flow on a single node within a target network, recording security responses, and presenting a report for improving security controls, which can be repeated on multiple nodes to assess network-wide resilience.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If current internet security testing methods are used, then testing can be performed on the network, but the capability to effectively emulate multi-stage attacks at a node is lacking
Solution Approach 1:
The attack emulation is divided into multiple discrete stages, with each stage representing a specific phase of a cyber attack (e.g., initial access, execution, persistence, privilege escalation, lateral movement, data exfiltration). This segmentation allows the system to methodically test security controls against each phase of a sophisticated attack, thereby improving both adaptability to multi-stage attacks and reliability of validation.
Solution Approach 2:
The system creates virtual copies of attack behaviors and patterns by implementing agents that simulate deterministic attack flows. These copied attack patterns are executed on target nodes to reproduce real-world attack scenarios, enabling comprehensive validation of security controls without requiring actual attacks.
2Measurement precision
If security testing is performed on a single node, then detailed assessment of that node is achieved, but network-wide resilience assessment is limited
Solution Approach 1:
The attack emulation system is designed with universal agents and attack flow templates that can be deployed across multiple nodes throughout the network. The same detailed assessment methodology used on a single node is systematically applied network-wide, allowing the system to maintain measurement precision while expanding the scope of assessment to evaluate overall network resilience.
Solution Approach 2:
The system transitions from single-node assessment to network-wide assessment by adding the dimension of spatial distribution across multiple nodes. Attack agents are deployed across the network infrastructure, enabling detailed security control assessment to be performed at both the individual node level and the aggregate network level simultaneously.
3Adaptability or versatility
If deterministic attack flows with timing instructions are implemented, then realistic attack simulation is achieved, but system complexity increases
Solution Approach 1:
The system manages complexity by parameterizing attack flows with configurable timing instructions and behavioral parameters. Instead of hardcoding complex attack sequences, the system uses parameter-driven configurations that allow realistic attack simulation through adjustable parameters such as timing intervals, attack pacing, and stage transition conditions, thereby achieving adaptability without proportional increases in system complexity.
Data Source
AI summary
A method includes: accessing an attack record defining actions representing a previous known attack on a second computer network; initializing an attack graph; for each action, defining a set of behaviors-analogous to the action and executable by an asset on a target network to emulate an effect of the action on the second computer network—and storing the set of behaviors in a node in the attack graph; connecting nodes in the attack graph according to an order of actions in the known attack; scheduling the asset to selectively execute analogous behaviors stored in the set of nodes in the attack graph; accessing alerts generated by a set of security tools deployed on the target network; and characterizing vulnerability of the target network based on alerts, in the set of alerts, indicating detection and prevention of behaviors executed by the asset according to the attack graph.