Realtime Security Unit for Network Traffic Interception
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Solution Overview
Problem
Current network security systems are vulnerable to advanced evasion techniques, despite the presence of various security measures, as malicious actors continually develop methods to subvert these systems, compromising data confidentiality, integrity, and availability.
Innovation Solution
The implementation of a Realtime Security Unit (RSU) system that intercepts, analyzes, and modifies network data streams in real-time, using algorithms to identify and neutralize malicious software, embed digital tags, and disrupt covert channels, thereby enhancing data security and integrity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional network security systems (firewalls, packet filtering, intrusion detection) are used to protect data confidentiality, integrity, and availability, then basic security coverage is achieved, but the systems become vulnerable to advanced evasion techniques developed by malfeasant actors
Solution Approach 1:
The patent introduces an intermediary security system that positions itself between the network traffic source and destination. This intermediary actively monitors, analyzes, and modifies data streams in real-time, serving as a mediator that blocks malicious content while allowing legitimate traffic to pass through. The system acts as a buffer that prevents direct interaction between attackers and protected resources.
Solution Approach 2:
The security system performs preliminary analysis and modification of data streams before they reach their destination. By proactively identifying and neutralizing threats in advance, the system prevents malicious content from completing its harmful objective. The real-time scanning and filtering occur beforehand, ensuring that only sanitized traffic is forwarded.
2Difficulty of detecting and measuring
If real-time interception and analysis of network data streams is implemented to detect and neutralize malicious software, then detection capability against advanced threats is improved, but system complexity and processing requirements increase
Solution Approach 1:
The security system divides network traffic into discrete data streams that can be individually analyzed and processed. By segmenting the traffic flow, the system can apply different analysis techniques to different streams simultaneously, improving detection capability without overwhelming a single processing unit. Each data stream is handled independently through dedicated analysis pipelines.
Solution Approach 2:
The system dynamically adjusts its analysis depth and processing intensity based on the characteristics of each data stream. Rather than applying uniform complex analysis to all traffic, the system adapts its processing requirements in real-time, increasing scrutiny for suspicious streams while allowing low-risk traffic to pass through with minimal processing. This dynamic approach balances detection capability with system resource management.
3Reliability
If digital tags are embedded in data streams to provide session identification and integrity verification, then data integrity and traceability are improved, but processing overhead and potential privacy concerns increase
Solution Approach 1:
The system extracts only the essential identifying information needed for session tracking and integrity verification, rather than embedding comprehensive metadata. By taking out only the necessary elements (such as session identifiers and checksums), the system maintains data integrity and traceability while minimizing the amount of additional data that needs to be processed and transmitted.
Solution Approach 2:
The digital tags use compact parameter representations that require minimal processing overhead. By optimizing the structure and size of the embedded tags, the system achieves effective session identification and integrity verification with reduced computational resources. The parameter encoding is designed to be efficiently generated and verified without significant processing burden.
Data Source
AI summary
Disclosed are various embodiments of a system or method for the transparent handling of real-time streaming application-level data. The disclosed embodiments permit the identification and modification of specified file patterns from within the live stateful data transactions across computer networks. The system includes a unidirectional in-line communications data stream handler, stream pattern detector, stream file modification processor, and memory management subsystem. Embodiments of the disclosure may include devices permitting incoming network data streams to be captured, processed, and selectively modified when implemented on a digital streaming network communications line. One embodiment of the system includes techniques for mitigation of malicious software directed against software based network connected systems. Other embodiments may make use of approaches for digital data hiding and covert channel obfuscation operations on digital multimedia files being transferred through the system. In a non-limiting example, session-unique digital tags may be embedded within real-time data flows of multimedia files, the product of which may be used to enforce privacy policies, intellectual property management, copyright protection, as well as digital content delivery management.