Secure Network Sensor with Encrypted Storage and Self-Recovery
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Solution Overview
Problem
Current computer security techniques are inadequate in protecting network-connected computers from attacks, as they lack robust mechanisms for real-time data monitoring, encryption, and self-recovery, allowing malware to compromise system integrity.
Innovation Solution
A data network monitoring device, or 'sensor,' is installed with taps on the network to retrieve and build operational components, mount encrypted storage, monitor traffic, analyze data, and implement self-destruct functions, while communicating with a configuration server for validation and remote control, using automation tools and encryption to maintain system security.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If current computer security techniques are used, then basic protection is provided, but real-time monitoring and detection capabilities are insufficient
Solution Approach 1:
The patent introduces a sensor as an intermediary device that taps into the network to monitor data traffic. This sensor acts as a mediator between the network and the monitoring system, capturing packets for analysis without disrupting normal network operations. The sensor enables real-time detection of malicious activities by analyzing traffic patterns, protocols, and content while maintaining system reliability.
Solution Approach 2:
The patent replaces traditional mechanical security measures with electronic and software-based solutions. Instead of physical security mechanisms, the system uses automated sensor networks, digital packet analysis, cryptographic validation, and software-based intrusion detection to monitor and protect the network, enabling more sophisticated real-time detection capabilities.
2Reliability
If encryption is implemented to protect data, then data security is improved, but system complexity increases
Solution Approach 1:
The patent segments the security system into distinct functional components: sensors for data capture, encrypted storage for secure data retention, and separate processing units for decryption and analysis. This segmentation allows encryption to be applied selectively to specific data streams and storage areas, improving data protection while managing system complexity through modular architecture.
Solution Approach 2:
The patent creates encrypted copies of sensitive data for storage and analysis purposes. Instead of encrypting all data throughout the system, it maintains original data in memory for processing and creates encrypted copies for persistent storage, reducing the computational overhead of encryption while still protecting data at rest.
3Reliability
If self-recovery mechanisms are implemented, then system resilience is improved, but automation requirements increase
Solution Approach 1:
The patent implements self-service mechanisms where the sensor system automatically detects compromises, validates its own state through cryptographic checks, and initiates recovery procedures without external intervention. The system monitors its own integrity, detects malware or tampering, and automatically restores from known good states, reducing the need for manual security operations.
Solution Approach 2:
The patent incorporates feedback loops where the sensor continuously monitors network traffic and its own operational state, compares against baseline behavior and cryptographic signatures, and automatically triggers recovery actions when anomalies are detected. This feedback mechanism enables automated self-recovery while maintaining system resilience through continuous validation.
Data Source
AI summary
A network monitoring “sensor” is built on initial startup by checking the integrity of the bootstrap system and, if it passes, downloading information from which it builds the full system including an encrypted and an unencrypted portion. Later, the sensor sends hashes of files, configurations, and other local information to a data center, which compares the hashes to hashes of known-good versions. If they match, the data center returns information (e.g., a key) that the sensor can use to access the encrypted storage. If they don't, the data center returns information to help remediate the problem, a command to restore some or all of the sensor's programming and data, or a command to wipe the encrypted storage. The encrypted storage stores algorithms and other data for processing information captured from a network, plus the captured/processed data itself.