Network Security Blind Spot Elimination via Synthetic Transactions
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Network security systems often fail to protect 'blind spots' in network systems, making them susceptible to malicious activity, and conventional methods are difficult and dangerous to troubleshoot.
Innovation Solution
A system and method that generates synthetic transactions to test the network, identifies blind spots by analyzing logical security maps, and reconfigures or acquires security assets to eliminate these spots, using a hardware processor and memory to execute instructions for detection and solution implementation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional real network traffic is used for troubleshooting and detecting blind spots, then actual network conditions are tested, but the process becomes difficult and dangerous
Solution Approach 1:
The patent creates synthetic transactions that replicate real network traffic patterns without using actual network traffic. These synthetic transactions copy the essential characteristics of legitimate network communications, allowing security assets to be tested under realistic conditions while eliminating the risks associated with using real network traffic for troubleshooting.
2Reliability
If security assets are deployed to protect the network system, then security coverage is improved, but blind spots remain undetected in unpredictable areas
Solution Approach 1:
The patent performs preliminary testing by sending synthetic transactions through the network system before actual operations. This preliminary action identifies blind spots and security gaps in advance, allowing administrators to configure security assets properly before deploying them to protect against real threats.
Solution Approach 2:
The system implements feedback mechanisms where synthetic transactions are sent through the network, security assets respond to these transactions, and the system analyzes the responses to identify blind spots. This feedback loop continuously improves security coverage by revealing undetected areas and enabling targeted deployment of additional security measures.
3Object-affected harmful factors
If synthetic transactions are used for testing, then network damage risk is eliminated, but testing effectiveness must be ensured
Solution Approach 1:
The patent varies parameters of synthetic transactions to ensure comprehensive testing while maintaining safety. By changing characteristics such as transaction types, sources, destinations, and protocols, the system thoroughly tests security assets under diverse conditions without risking network damage, thus maintaining both safety and testing effectiveness.
Data Source
AI summary
Blind spots in a network system are identified and eliminated. Synthetic transactions are generated and transmitted across a network system, and at least a portion of the synthetic transactions is captured. Parts of the synthetic transactions that were not captured can be determined and employed to generate a logical security map of the network system based on the captured synthetic transactions. At least one blind spot can be identified from in the logical security map of the network system, and a solution determined to eliminate the at least one blind spot. Subsequently, the solution is implemented for the network system to eliminate the blind spot.