Steganography Detection via Communication Trend Analysis
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Solution Overview
Problem
Current steganalysis techniques are inadequate for efficiently detecting the use of steganography in electronic communications, particularly in large volumes of data, as they lack effective methods to identify hidden content in computer files, which poses a challenge for organizations seeking to maintain privacy and security.
Innovation Solution
A computer-implemented method and system for detecting steganography that analyzes electronic communications and computer files using steganographic criteria, including file characteristics and communication trends, to identify potential hidden content, involving a processor, data store, communication analyzer, and file analyzer to flag suspicious communications for further investigation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional steganalysis techniques are used to detect hidden content in computer files, then detection capability is provided, but efficiency and scalability to large volumes of communications are insufficient
Solution Approach 1:
The patent segments the steganalysis process into multiple independent analysis components: file property analysis, communication pattern analysis, sender behavior analysis, and recipient behavior analysis. Each component processes specific aspects of the communication independently and generates separate scores, which are then combined to produce an overall steganography likelihood score. This segmentation enables parallel processing of large volumes of communications while maintaining comprehensive detection capability.
Solution Approach 2:
The patent introduces intermediary analysis layers that process raw communication data before final detection. Communication patterns, sender behaviors, and recipient behaviors are analyzed as intermediate steps to generate behavioral scores. These intermediary analyses act as mediators between the raw data and the final steganography detection, enabling efficient processing while preserving detection accuracy through multi-factor evaluation.
2Measurement precision
If comprehensive analysis of all communications is performed to detect steganography, then detection accuracy improves, but processing time and computational resources increase
Solution Approach 1:
The patent implements a tiered analysis approach where not all analysis components are applied uniformly to every communication. Instead, the system performs basic file property analysis on all communications, then applies more computationally intensive communication pattern and behavioral analyses selectively based on initial screening results. This partial action approach maintains high detection accuracy for suspicious communications while reducing processing time for benign communications.
Solution Approach 2:
The patent dynamically adjusts analysis parameters and thresholds based on communication characteristics and organizational risk profiles. The steganography likelihood score thresholds for triggering notifications can be customized, and the depth of analysis applied to different communication types can be modified. This parameter flexibility allows the system to maintain high detection accuracy while adapting processing intensity to match the actual risk level of each communication.
Data Source
AI summary
Systems and methods for detecting potential steganography use to hide content in computer files transmitted via electronic communications are provided. An electronic communication associated with a computer file may be identified. The communication and the computer file may be analyzed to determine whether the computer file potentially includes hidden content. To determine whether the computer file potentially includes hidden content, a set of steganographic criteria may be analyzed. If at least a portion of the steganographic criteria are satisfied, then it may be determined that the computer file potentially includes hidden content. If at least a portion of the steganographic criteria are not satisfied, then it may be determined that the computer file does not potentially include hidden content. If the computer file is determined to potentially include hidden content, an individual may be notified of the communication associated with the computer file.