Information Security Risk Assessment Method based on digital watermarking and copy detection

The rising reliance on digital infrastructures has amplified the need for robust methodologies to address information security risks effectively.This work aligns closely with the thematic scope of Frontiers in Computer Science, emphasizing advanced and scalable computational strategies for security management.Traditional Information Security Risk Assessment (ISRA) approaches often rely on static, simplified models that inadequately address dynamic threat landscapes, leading to suboptimal risk evaluations and resource allocations.To overcome these limitations, we propose a novel ISRA framework that integrates digital watermarking and adaptive copy detection mechanisms, leveraging their strengths for enhanced data integrity and traceability.By employing the Adaptive Risk Evaluation Network (AREN) and the Strategic Risk Mitigation Framework (SRMF), our method incorporates probabilistic modeling, Bayesian inference, and game-theoretic strategies to dynamically assess and mitigate risks.The experimental results demonstrate substantial improvements in risk prediction accuracy, system adaptability, and resource efficiency compared to baseline methods.These findings underscore the framework's potential to revolutionize contemporary ISRA by addressing theoretical gaps and providing practical solutions for complex security challenges.