SecCal-ALGT: a Security-Calibrated Adaptive Local

Key Points

• To explore and develop security-calibrated adaptive local approaches within computing frameworks.
• Implemented a security-calibrated adaptive local algorithm in various computational scenarios.
• Evaluated the effectiveness of the proposed methods across different domains and applications.
• Incorporated feedback mechanisms to enhance security adjustments dynamically.
• Demonstrated improved security metrics in adaptive local environments.
• Achieved significant enhancements in computational efficiency and reliability.
• Provided a framework for better security integration across internet services.