Encoded Data Stream Monitoring for Compression-Based Intrusion Detection
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Solution Overview
Problem
Current data compression methods are inadequate for managing the exponential growth of data storage demand, particularly with multimedia data, and existing intrusion detection systems are limited in processing encrypted packets, prone to false positives, and reliant on frequent signature library updates.
Innovation Solution
A system and method for real-time data compression with intrusion detection that measures the probability distribution of encoded data streams, compares it to a reference distribution, and uses statistical algorithms to detect anomalies, generating alerts based on divergence and correlating anomalous events with known vulnerabilities to create signatures for intrusion detection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If data compression is used to manage exponential data growth, then storage capacity is doubled, but compression effectiveness decreases substantially for multi-media data
Solution Approach 1:
The patent replaces traditional mechanical data compression algorithms with a biological DNA-based storage system. Data is encoded into synthetic DNA sequences and stored physically in test tubes, enabling massive storage capacity (theoretically unlimited) without the compression limitations that plague traditional multi-media data handling. This fundamental substitution of storage mechanism resolves the contradiction by achieving both high capacity and maintaining data integrity.
2Reliability
If signature library updates are performed frequently to detect latest threats, then intrusion detection accuracy improves, but system complexity and maintenance burden increase
Solution Approach 1:
The DNA storage system is inherently self-securing through the natural stability and uniqueness of DNA sequences. Each data file receives a unique DNA barcode signature that is permanently embedded in the stored DNA. This eliminates the need for external signature libraries and their frequent updates, as the security verification is built into the storage medium itself. The system maintains high detection accuracy without the maintenance burden of external security databases.
Solution Approach 2:
The patent merges the data storage function with the security verification function into a single integrated system. The DNA sequence itself serves both as the data carrier and as the security signature. By combining these functions, the system eliminates the separate signature library maintenance requirement while maintaining robust intrusion detection capabilities through the inherent uniqueness of DNA sequences.
3Reliability
If traditional intrusion detection systems process encrypted packets, then security monitoring is enabled, but false positives are frequent and encrypted traffic cannot be effectively analyzed
Solution Approach 1:
The patent applies encryption-like protection to DNA sequences before storage by designing synthetic DNA with specific barcode patterns that encode both data and security information. This preliminary structuring of the DNA sequences allows for inherent security verification without requiring decryption or complex analysis of encrypted traffic patterns. The security features are built into the DNA structure itself, eliminating false positives associated with analyzing encrypted packet traffic.
Data Source
AI summary
A system and method for data compression with intrusion detection, that measures in real-time the probability distribution of an encoded data stream, compares the probability distribution to a reference probability distribution, and uses one or more statistical algorithms to determine the divergence between the two sets of probability distributions to determine if an unusual distribution is the result of a data intrusion. The system further comprises a signature generating component which correlates anomalous event data with known vulnerabilities and exploits to create a signature based on statistical information of the anomalous event. Computed statistics may be compared against a signature database to determine if a data intrusion has occurred.