Steganographic Code Detection for Concealed Malicious Code Passing
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Solution Overview
Problem
Existing cybersecurity methods fail to effectively detect and prevent malicious code passing without alerting the malicious actors, allowing them to circumvent detection and gain access to confidential information.
Innovation Solution
An amalgamation platform using steganography embeds concealed detection code in base code, trains a scoring engine on historical code snippets, and generates suspicion scores to identify malicious code snippets, simulating execution scenarios to determine matches with known malicious code, initiating security actions when thresholds are met.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional cybersecurity methods are used to detect code transmission, then detection capability is provided, but malicious actors can circumvent detection and avoid alerting them
Solution Approach 1:
The patent embeds steganographic code within base code, creating a nested structure where the detection mechanism is hidden inside the code itself. This allows the detection system to operate covertly without alerting malicious actors, resolving the contradiction between detection capability and stealth by nesting the detector within the detected target
Solution Approach 2:
The steganographic code acts as an intermediary between the base code and the detection system. It enables the detection of code-passing attempts while maintaining covert operation, serving as a mediator that allows precise detection without triggering alerts from sophisticated malicious actors
2Measurement precision
If steganographic code is embedded in base code, then concealed detection of code-passing is enabled, but system complexity increases
Solution Approach 1:
The steganographic code serves multiple functions simultaneously: it acts as both the base code to be protected and the detection mechanism. This multi-functionality reduces overall system complexity by combining what would otherwise be separate components into a single integrated solution
Solution Approach 2:
The patent merges the detection mechanism with the base code itself through steganography. By combining the protective code and detection logic into a unified steganographic structure, the system reduces complexity compared to having separate detection systems and base code
3Measurement precision
If suspicion scores are generated and compared to thresholds, then accurate identification of malicious code is achieved, but processing time increases
Solution Approach 1:
The system generates suspicion scores and compares them to thresholds, performing partial analysis on all code snippets rather than exhaustive analysis of every piece of code. This selective approach maintains high accuracy in identifying malicious code while reducing overall processing time by focusing computational resources on suspicious cases
Data Source
AI summary
Aspects related to an amalgamation platform providing concealed detection of code-passing using steganography are provided. An amalgamation platform may train a scoring engine to generate suspicion scores for code snippets and an amalgamation engine to generate execution scenarios for the code snippets. The platform may embed code in base code of a network using steganography. The platform may use the steganographic code to detect transmission of a code snippet. The platform may generate a suspicion score for the code snippet. The platform may update the scoring engine based on identifying the suspicion score satisfies a threshold. The platform may generate execution scenarios for the code snippet. The platform may determine a match between an execution scenario and a malicious code scenario. The platform may identify the code snippet as malicious and update the amalgamation engine based on the match. The platform may initiate security actions based on the match.