Autonomous Program Detection via Client Fingerprinting
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Solution Overview
Problem
Existing network systems face challenges in distinguishing between human user traffic and autonomous program traffic, leading to potential service disruptions and malicious activities, as autonomous programs can overwhelm server resources and mimic human behavior.
Innovation Solution
Implementing a device that uses client fingerprinting techniques, such as inserting scripts into responses, generating and verifying cookies with timestamps and unique tokens, to differentiate between human users and autonomous programs by checking for matching Referrer headers, timestamps, and parameter orders, thereby blocking subsequent requests from identified autonomous programs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If autonomous programs are used to perform tasks faster than human users, then task execution speed is improved, but server resources are overwhelmed resulting in service disruptions
Solution Approach 1:
The system performs preliminary actions by embedding scripts and markers in responses before autonomous programs can execute multiple tasks. These pre-placed elements enable the server to identify and block autonomous programs before they can overwhelm resources, thus maintaining service availability while allowing legitimate fast task execution
Solution Approach 2:
The system implements feedback mechanisms by analyzing request patterns, cookie data, and script execution results to continuously identify autonomous programs. This feedback loop allows the server to dynamically adjust blocking rules, maintaining reliability while preserving legitimate high-speed task execution
2Reliability
If bot detection mechanisms are implemented to identify autonomous programs, then service protection is improved, but system complexity increases
Solution Approach 1:
The detection system is segmented into multiple independent components: script embedding module, marker analysis module, cookie verification module, and blocking module. Each component performs a specific function, making the overall system manageable and maintainable while providing comprehensive bot detection
Solution Approach 2:
The system uses intermediary elements such as embedded scripts and markers that act as mediators between the server and autonomous programs. These intermediaries carry identification information without requiring complex direct analysis of autonomous program behavior, simplifying the detection mechanism
3Measurement precision
If fingerprinting techniques are used to differentiate human users from autonomous programs, then detection accuracy is improved, but implementation complexity increases
Solution Approach 1:
The system uses copying by embedding identical scripts and markers in responses to multiple clients. These copied elements serve as standardized fingerprints that can be uniformly analyzed to differentiate human users from autonomous programs, improving detection accuracy through consistent identification patterns
Solution Approach 2:
The system changes parameters such as script execution timing, marker positions, and cookie values to create unique fingerprints for different clients. By varying these parameters while maintaining a consistent detection framework, the system achieves high detection accuracy without proportionally increasing implementation complexity
Data Source
AI summary
Systems and methods for autonomous program management include a device which may transmit data to a client in response to a first request from the client. The data may include a response to the first request and a copy of data available to the device corresponding to the first request or the client. The device may receive a second request including the copy of data from the client. The device may determine that the second request is from an autonomous program rather than a user of the client based on the copy of data from the second request. The device may block at least one subsequent request from the client in response to the determination that the second request is from an autonomous program.