Distributed AI Security Agents for P2P Network Threat Mitigation
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Solution Overview
Problem
Current cybersecurity approaches fail to secure data 'at rest' and lack real-time threat monitoring and adaptive security, making them ineffective in preventing and mitigating cyber threats in peer-to-peer data networks.
Innovation Solution
A distributed artificial intelligence (AI) based security suite is deployed across network devices, comprising 'guardian', 'sentinel', and 'navigator' agents for real-time protection, threat detection, and secure connection management, ensuring secure storage and communication through encryption and autonomic synchronization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If distributed AI security agents are deployed across network devices for real-time protection and threat detection, then security reliability is improved, but device complexity increases
Solution Approach 1:
The security system is divided into multiple specialized AI agents (guardian, sentinel, navigator) that each perform specific security functions. These agents are distributed across different network devices, allowing the complex security task to be segmented into manageable, specialized components that can operate independently yet cooperatively.
Solution Approach 2:
The patent introduces intermediary components such as security modules that facilitate communication and coordination between the distributed AI agents and the underlying network infrastructure. These intermediaries abstract the complexity of inter-agent communication and data handling, making the system more manageable while maintaining high security functionality.
2Measurement precision
If real-time threat detection and monitoring is implemented across the network, then security detection capability is improved, but energy consumption increases
Solution Approach 1:
The system performs preliminary security assessments and threat detections in advance, allowing network devices to proactively identify and respond to potential threats before they materialize into actual attacks. This preliminary action enables more efficient energy use by preventing the need for intensive real-time analysis of benign traffic.
Solution Approach 2:
The distributed AI agents apply partial monitoring and analysis to network traffic based on risk assessment, focusing computational resources on suspicious or high-risk packets rather than analyzing every single packet in detail. This selective approach maintains high detection capability while reducing overall energy consumption.
3Adaptability or versatility
If adaptive security mechanisms are implemented to learn from prior cyber-attacks, then security adaptability is improved, but device complexity increases
Solution Approach 1:
The distributed AI security agents continuously exchange feedback information about detected threats, attack patterns, and security incidents. This feedback mechanism enables the system to learn from prior cyber-attacks and adapt its detection and response strategies dynamically, with each agent contributing to and benefiting from the collective knowledge of the network.
Solution Approach 2:
The AI agents are designed to autonomously learn and adapt their security strategies without requiring centralized control or manual intervention. Each agent independently processes security data, updates its threat models, and adjusts its behavior based on observed patterns, enabling the system to adapt to new threats while distributing the computational complexity across multiple devices.
Data Source
AI summary
In one embodiment, a method comprises: tracking, by a first security agent executed within a user network device, a plurality of wireless data networks that are available for connection by the user network device for secure communications with a second network device in a secure peer-to-peer data network, and maintaining a history of each of the wireless data networks; determining for each of the wireless data networks, by the first security agent, a corresponding risk assessment that identifies a corresponding risk in encountering a cyber threat on the corresponding wireless data network; and supplying, to a second security agent executed within the user network device, a recommendation for connecting to a wireless data link identified as avoiding the cyber threat during the secure communications, wherein the user network device has a two-way trusted relationship with the second network device in the secure peer-to-peer data network.