Stateful Attack Simulation Engine for Dynamic Security Testing
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Solution Overview
Problem
Existing security infrastructure verification methods are static and do not adequately address real-world attacker behavior, as they follow predefined execution sequences that do not dynamically simulate the stages of a cyber threat life cycle.
Innovation Solution
A dynamic security infrastructure verification system that uses a stateful, decision-tree-driven attack simulation engine to simulate attacker behavior by dynamically following the stages of a cyber threat life cycle, based on received results and logical next follow-ups.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If static predefined execution sequences are used for security testing, then the testing process is simple and controllable, but the simulation does not adequately address real-world attacker behavior and lacks adaptability
Solution Approach 1:
The patent implements a dynamic attack simulation system that transitions from static predefined sequences to a dynamic decision-tree-driven approach. The system dynamically selects attack stages and techniques based on simulated attacker objectives, target system characteristics, and real-time simulation state, enabling realistic modeling of adaptive attacker behavior while maintaining manageable complexity through structured decision logic.
Solution Approach 2:
The system changes parameters such as attack stage selection, technique variation, and simulation progression based on input conditions. By adjusting these parameters dynamically rather than following fixed sequences, the system achieves versatility in simulating different attacker scenarios and real-world behaviors without requiring complete redesign of the testing framework.
2Reliability
If dynamic stateful attack simulation is implemented, then the realism and effectiveness of security testing is improved, but the computational resources and time required increase
Solution Approach 1:
The attack simulation is segmented into distinct stages (reconnaissance, weaponization, delivery, exploitation, etc.) corresponding to the cyber-kill-chain model. This segmentation allows the system to simulate attacks progressively through manageable phases, improving reliability by covering comprehensive attack scenarios while reducing time by focusing on relevant stages based on simulation objectives and system characteristics.
Solution Approach 2:
The system incorporates feedback mechanisms where simulation results from earlier stages influence subsequent stage selection and attack technique choices. This feedback-driven approach ensures realistic attack progression and improves verification effectiveness by modeling adaptive attacker responses, while optimizing time by avoiding irrelevant simulation paths based on previous outcomes.
3Adaptability or versatility
If comprehensive coverage of all attack stages is simulated, then the thoroughness of security testing is improved, but the complexity of coordinating and managing multiple attack techniques increases
Solution Approach 1:
The system uses a universal decision-tree framework that handles multiple attack stages and techniques through a single coordinated mechanism. The decision tree serves as a multi-functional guide that simultaneously manages reconnaissance, weaponization, delivery, and exploitation stages, reducing coordination complexity by providing a unified approach to comprehensive attack simulation coverage.
Solution Approach 2:
The system performs preliminary analysis of attack feasibility, target vulnerability assessment, and attack chain validation before executing each stage. This preliminary action reduces coordination complexity by pre-determining valid attack sequences and required resources, enabling comprehensive coverage of attack life cycle stages through a structured preparation process rather than ad-hoc coordination.
Data Source
AI summary
Methods and systems for generating stateful attacks for simulating and testing security infrastructure readiness. Attack templates descriptive of a plurality of attacks to be executed against one or more targets are defined. The attack templates are processed to compile a decision tree by traversing through a list of attack templates to create a logical tree with tree branches representing different execution paths through which attacks may be executed against the targets. During attack simulations and/or testing, single and/or multi-stage attacks are executed against targets, wherein attack sequences are dynamically determined using the execution paths in the decision tree in view of real-time results. The attacks may be executed against various types of targets, including target in existing security infrastructures and simulated targets. Moreover, the attacks may originate from computer systems within security infrastructures or remotely using computer systems external to the security infrastructures.