Cyber Security Image Detection for Unauthorized Data Access
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Cyber-attacks involving unauthorized data access are complex and time-consuming to investigate, often requiring anonymization of accessed data, which is expensive and inefficient.
Innovation Solution
A system that detects suspicious operations by reviewing highlights, determines if a predefined cyber security image exists, generates a cyber security image based on sub-images, and stores it in a repository to prevent unauthorized access.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional investigation methods are used for unauthorized data access, then detailed analysis can be performed, but the process becomes time-consuming and expensive
Solution Approach 1:
The system performs preliminary action by pre-generating cyber security images for various suspicious operations and storing them in a repository before actual security incidents occur. When a suspicious operation is detected, the system immediately compares it against the pre-existing images, eliminating the need for time-consuming real-time analysis and enabling instant identification of unauthorized access patterns.
Solution Approach 2:
The system creates simplified copies of security-relevant information in the form of cyber security images that capture essential characteristics of suspicious operations. These images serve as searchable representations that can be quickly compared against new operations, providing accurate detection without requiring detailed examination of the original complex data structures.
2Reliability
If comprehensive security analysis is performed on all operations, then unauthorized access can be detected, but system performance deteriorates
Solution Approach 1:
The system extracts only the essential security-relevant features from operations and represents them as compact cyber security images. By taking out only the critical characteristics needed for security analysis rather than analyzing complete operation details, the system maintains high detection reliability while significantly reducing processing overhead and preserving system performance.
Solution Approach 2:
The system transforms complex operation data into simplified visual representations with changed parameters - converting detailed operational data into cyber security images that retain security-discriminative properties while reducing data complexity. This parameter transformation enables efficient comparison and detection without the computational burden of analyzing full operation sequences.
3Loss of information
If manual anonymization of accessed data is performed, then investigation can proceed, but the process becomes expensive and inefficient
Solution Approach 1:
The system performs self-service by automatically generating cyber security images that inherently protect sensitive information while maintaining investigative value. The image generation process automatically anonymizes and abstracts accessed data without requiring manual intervention, eliminating the need for separate anonymization steps and reducing both cost and complexity of the investigation process.
Data Source
AI summary
In some examples, a system for detecting unauthorized data access can include a processor to detect a suspicious operation to be executed by the system and review a plurality of highlights corresponding to the suspicious operation. The processor can also determine that a predefined cyber security image corresponding to the highlights and the suspicious operation does not exist and generate the predefined cyber security image based on a plurality of sub-cyber security images. Furthermore, the processor can store the predefined cyber security image in a cyber security image repository and prevent the suspicious operation from being executed.