Cyber-Offensive Platform for Proactive Network Attack Detection
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Solution Overview
Problem
Current cyber-security systems are primarily defensive and reactive, lacking the ability to effectively counter cyber-attacks, and they struggle with attributing attacks due to the design of the internet protocol, which does not police data traversing the network, and are limited by reliance on known signatures rather than behavioral information.
Innovation Solution
A cyber-offensive platform that enables the launch of countermeasures by receiving, analyzing, and editing network packets to detect and respond to attacks, utilizing multi-core processors and unique hash algorithms for enhanced speed and attribution, allowing for proactive suppression and neutralization of threats.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If current cyber-security systems use signature-based protection, then known attacks can be detected, but unknown attacks and behavioral anomalies cannot be effectively identified
Solution Approach 1:
The system changes the detection parameter from static signature matching to dynamic behavioral parameter analysis. By monitoring parameters such as packet timing, frequency, and pattern changes over time, the system can identify unknown attacks that do not match known signatures, thereby resolving the contradiction between reliable known-attack detection and adaptability to unknown attacks.
Solution Approach 2:
The system performs preliminary behavioral analysis of network traffic patterns to establish baselines and detect anomalies before actual attacks occur. By continuously monitoring and learning normal behavior patterns, the system can prepare detection rules for unknown attack types, enabling proactive identification rather than reactive response.
2Reliability
If multiple defensive systems are implemented, then comprehensive protection can be achieved, but system complexity and processing overhead increase
Solution Approach 1:
The patent merges multiple defensive functions into a single integrated system that combines signature-based detection, behavioral analysis, and offensive countermeasure capabilities. By consolidating these functions in one platform rather than implementing separate systems, the solution achieves comprehensive protection while reducing overall system complexity and processing overhead.
Solution Approach 2:
The system implements a universal security platform that performs multiple functions including traffic analysis, attack detection, behavioral monitoring, and offensive countermeasures. This multi-functional approach eliminates the need for multiple specialized systems, thereby achieving comprehensive protection without proportionally increasing complexity.
3Productivity
If packet filtering is performed at high speed, then network traffic can be processed efficiently, but accurate analysis and attribution of attacks becomes difficult
Solution Approach 1:
The system segments the packet processing task into multiple parallel analysis streams that operate simultaneously at high speed. By dividing the processing workload across multiple cores and analysis dimensions, the system maintains both high throughput and precise behavioral analysis, enabling accurate attack attribution without sacrificing processing speed.
Solution Approach 2:
The patent introduces additional analysis dimensions such as temporal patterns, statistical anomalies, and behavioral context that enable accurate attack attribution even at high processing speeds. By analyzing traffic from multiple dimensional perspectives rather than single-layer filtering, the system achieves both speed and precision.
Data Source
AI summary
A network system for launching a cyber-offensive countermeasure to improve network security is provided. For example, a system that enables launching a cyber-offensive countermeasure on a network may include a receiving section that receives packets routed on the network and analyzes the received packets to detect an attack directed toward a device on the network when the attack is external to the device, an editing section that edits the received packets, and a transmitting section that transmits the edited packets on the network.