AI Security Model

Our AI security model simulates disease transmission, optimizing dynamic defense strategies and adaptive protection frameworks.

Protection Algorithms

We design protection algorithms inspired by ecological defense principles, enhancing collaborative security mechanisms and resilience.

Collaborative Defense

Implementing herd immunity principles, our collaborative defense approach creates multi-level security that enhances overall system protection.

Utilizing dynamic strategies, our tools incorporate adaptive frameworks for innovative protection against evolving threats.

Dynamic Defense Tools

A stylized silhouette of a human head made up of circuit-like patterns on the left. Beside it, abstract geometric shapes resembling interconnected circuit components, suggesting technology and artificial intelligence themes.

A closed padlock rests on top of a computer keyboard, symbolizing security. The image incorporates a motion blur effect, suggesting speed or data movement.

AI Security

Innovative model for disease transmission and defense strategies.

A black and white image featuring a security guard standing on a paved area of a modern building. The guard is wearing a uniform, including a shirt with shoulder insignia, a badge, a cap, and a mask. Architectural elements of the building are visible in the background, with tall geometric walls and an open passageway.

Phase One

Constructing AI model for disease transmission simulation.

A computer screen displays a portion of source code written in a programming language. The code includes comments and conditional statements, with particular emphasis on credential management.

A vintage cipher machine with a complex array of keys labeled with letters. The machine's design suggests intricate mechanical components and historical significance.

A USB security key marked with the name 'Titan', featuring various certification symbols and model number K40T, lies on a dark surface. The lighting creates a moody atmosphere with emphasis on the metallic texture of the key.

Phase Two

Developing tools for ecological defense and protection algorithms.

My research requires access to GPT-4 fine-tuning because implementing a disease transmission-based security framework (PathGame) requires deep customization and complex training of the model. First, implementing differential game security mechanisms requires the ability to modify the model's basic protection architecture, which exceeds the functional scope that the GPT-3.5 fine-tuning API can provide. Second, simulating immune response processes requires implementing complex strategy optimization and dynamic adjustments, which needs more complete control over model protection mechanisms. Third, evaluating protection effects requires testing on models with sufficient scale, as security strategy advantages may only fully manifest in large-scale systems. GPT-4's architectural scale and complexity provide an ideal experimental platform for this innovative mechanism. Finally, the experimental process requires extensive security testing and performance evaluation, which needs more powerful computational resource support.