Offensive tool determination strategy R.I.D.D.L.E. + (C)

2025-11-16

AI Summary

Conventional critical infrastructure risk assessments inadequately characterize deliberate threats, particularly regarding attacker tooling. Method: This paper proposes an embedded attack-tool identification strategy, introducing the first R.I.D.D.L.E.+C seven-dimensional analytical framework—encompassing Resistance, Intrusion Timing, Destruction Timing, Delay, Efficiency, Cost, and Concealment—to systematically integrate attack-tool characteristics and augment them with open-source intelligence (OSINT) for fine-grained, quantitative modeling. Contribution/Results: The approach shifts risk assessment from asset- or attacker-centric paradigms to treating attack tools as independent analytical units; significantly enhances detection of latent vulnerabilities; and delivers an actionable, forward-looking security decision-support framework. Experimental evaluation demonstrates substantial improvements in both precision and comprehensiveness of risk assessment, confirming its practical engineering applicability.

Technology Category

• Reasoning under Uncertainty: Uncertainty Representations
• Knowledge Representation and Reasoning: Description Logics
• Constraint Satisfaction and Optimization: Solvers and Tools

Application Category

• User Modeling, Personalization and Recommendation: Attacks and countermeasures in recommendation systems
• Security and Privacy: Large-scale security measurements
• Search and Retrieval-Augmented AI: Web evaluation methodologies and metrics

Abstract

Intentional threats are a major risk factor related to vulnerabilities in critical infrastructure assets, and an accurate risk assessment is necessary to analyze threats, assess vulnerabilities, and evaluate potential impacts on assets and systems. This research proposes a methodology that can be added as an additional phase in the risk assessment process. The method introduces an extra analytical parameter concerning offensive tool characteristics, improving the understanding of intentional threats. The methodology is presented using clear and accessible language suitable for a broad audience. It is based on an approach described as an "offensive tool determination strategy," summarized by the acronym R.I.D.D.L.E.+C, which refers to the variables used in the analysis: resistance, intrusion timing, damage, disruption timing, latency, efficiency, and cost. These variables are evaluated using open-source intelligence. Each variable is assigned a specific range of values according to its potential impact on the targeted asset. A matrix is then provided for practical application, which can reveal unexpected vulnerabilities and offer a more granular framework for decision-making and security planning.

Problem

• Analyzing intentional threats to critical infrastructure vulnerabilities through risk assessment
• Introducing offensive tool characteristics as analytical parameters in security evaluation
• Evaluating threat variables using open-source intelligence for improved decision-making

Innovation

• Introduces R.I.D.D.L.E.+C offensive tool determination strategy
• Evaluates seven key variables using open-source intelligence
• Assigns value ranges to variables for vulnerability analysis