Large Byte Model for Natural Language Binary Analysis
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Solution Overview
Problem
Analyzing long strings of binary data, such as 1's and 0's, is tedious and requires specialized expertise, making it difficult for cybersecurity services to efficiently detect and understand complex malware behaviors.
Innovation Solution
A large byte model that uses a byte vocabulary expansion of a large language model to generate natural language explanations of binary data, allowing for multi-modal inputs and outputs, simplifying the analysis of binary data and enhancing cybersecurity services.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If binary data analysis is performed manually by experts, then analysis accuracy is maintained, but analysis speed and productivity are extremely slow
Solution Approach 1:
The patent introduces an intermediary system that translates binary data into natural language representations. This intermediary acts as a bridge between the raw binary data and human analysts, automatically performing the complex task of interpreting binary sequences and presenting them in an easily understandable format, thereby resolving the contradiction between analysis speed and ease of operation
Solution Approach 2:
The patent replaces the mechanical process of manual binary analysis with an automated computational system. The mechanical manual inspection and interpretation of binary data is substituted with an automated translation system that converts binary sequences into natural language, dramatically improving productivity while maintaining accessibility for non-experts
2Reliability
If specialized expertise is required for binary analysis, then analysis accuracy is maintained, but the complexity and resource requirements increase
Solution Approach 1:
The intermediary translation system encapsulates the specialized expertise within the system itself rather than requiring it in the users. The system internally handles the complex binary interpretation while presenting simplified natural language outputs, thereby maintaining high reliability/accuracy while reducing the expertise requirements for operators
Solution Approach 2:
The patent creates a copied representation of binary data in natural language form. Instead of requiring users to directly interpret the original complex binary sequences, the system generates a copy in human-readable format that preserves the essential information while eliminating the need for specialized binary analysis expertise
Data Source
AI summary
A cloud-based service assesses sequences of bits/bytes in natural language using a large byte model representing a large language model trained using a byte vocabulary expansion. The byte vocabulary expansion allows the large language model's textual vocabulary to also include byte-related information associated with different sequences of bits/bytes (e.g., 1's and 0's). The large byte model may thus be given a binary input, and optionally a textual instruction, and the large byte model generates simple natural language descriptions explaining/describing binary input.