Distributed AI Security Agents for P2P Network Data Protection
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Solution Overview
Problem
Current cybersecurity approaches fail to secure data 'at rest' and lack real-time threat monitoring and mitigation capabilities, making them ineffective against cyber-attacks, especially in peer-to-peer data networks.
Innovation Solution
A distributed artificial intelligence (AI) based security suite is deployed within network devices, comprising a guardian agent for secure data storage, a sentinel agent for real-time threat detection, and a navigator agent for secure connection management, using machine learning to adapt to evolving threats and ensure secure communications.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional cybersecurity approaches are used to protect data in transit, then communication security is improved, but data at rest remains vulnerable and real-time threat response is unavailable
Solution Approach 1:
The security system is segmented into three specialized agents: guardian agent for data protection, sentinel agent for threat detection, and navigator agent for connection management. Each agent operates independently with specific functions, allowing simultaneous protection of data at rest and real-time threat response without mutual interference
Solution Approach 2:
The patent introduces secure enclaves as intermediary protected environments within the host system. These enclaves act as mediators that isolate critical security operations from the main system, providing a secure buffer zone that enhances both data protection and threat response capabilities
2Measurement precision
If comprehensive security monitoring is implemented across all network devices, then threat detection capability is improved, but system complexity and computational overhead increase
Solution Approach 1:
The patent implements local quality by deploying specialized security agents on individual network devices based on their specific roles and risk profiles. Critical devices receive more comprehensive monitoring while less critical devices have streamlined protection, optimizing resource allocation and reducing overall system complexity
Solution Approach 2:
The security agents operate autonomously with self-diagnosis and self-protection capabilities. The sentinel agent continuously monitors for threats and can independently initiate mitigation actions without requiring constant centralized coordination, reducing computational overhead and system complexity
3Loss of information
If data is encrypted at rest and in transit, then data confidentiality is improved, but processing speed and access efficiency decrease
Solution Approach 1:
The guardian agent performs preliminary actions by encrypting data at rest before potential threats occur and establishing secure connections in advance. This proactive encryption approach allows data to be protected without requiring real-time encryption/decryption operations that would slow down processing
Solution Approach 2:
The patent uses secure enclaves as isolated copies or representations of the host system's security-critical functions. These enclave copies handle sensitive operations independently, allowing the main system to maintain normal processing speeds while confidential operations proceed securely in the enclave environment
Data Source
AI summary
In one embodiment, a method comprises: securing, by a security agent executed within a network device, first secure data structures for secure storage in the network device and second secure data structures for secure communications in a secure peer-to-peer data network; monitoring, by the security agent, a corresponding mandatory lifecycle policy for each of the first secure data structures; and cryptographically erasing one of the first secure data structures in response to expiration of the corresponding mandatory lifecycle policy.