IP Address Controlling-Entity Tracking for Real-Time Threat Mitigation
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Solution Overview
Problem
Existing intrusion detection systems fail to accurately determine the identity and security threat status of entities controlling Internet Protocol (IP) addresses in real-time, allowing cyberattacks to exploit multiple IP addresses from reputable providers, and there is a need for systems to verify entity identities and assess security threats to disposition data packets effectively.
Innovation Solution
A system that verifies the identity of entities controlling IP addresses by checking physical location, individual identities, and chain-of-control, determines a security threat status, and disposes data packets based on this status, using a computing platform to track and manage IP address provisioning.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If intrusion detection systems use lists of known malicious IP addresses, then they can block known threats, but they fail to detect new attacks from reputable providers
Solution Approach 1:
The system performs preliminary identity verification and security assessment on entities before they can use IP addresses for attacks. By verifying entity identities and determining security threat statuses in advance, the system proactively prevents malicious activities rather than merely reacting to known malicious IP addresses, thus improving both detection accuracy and adaptability to new threats.
Solution Approach 2:
The system introduces an intermediary security verification layer between IP addresses and their controlling entities. Instead of directly trusting IP address ownership, the system uses identity verification mechanisms and security threat status databases as intermediaries to assess whether the entity controlling an IP address is legitimate, enabling detection of attacks from previously reputable providers.
2Reliability
If the system performs real-time identity verification of entities controlling IP addresses, then security threat detection improves, but system complexity increases
Solution Approach 1:
The verification system is segmented into distinct functional modules: entity identification module, identity verification module, security threat status determination module, and data packet disposition module. Each module performs a specific function, making the overall complex system manageable and maintainable while achieving high verification accuracy through specialized processing in each segment.
Solution Approach 2:
The system maintains its own security threat status database and performs self-verification by comparing entity identities against stored information. This self-service capability reduces dependency on external verification services, simplifying the system architecture while maintaining high reliability through autonomous security assessment.
3Reliability
If the system tracks entity identities over time to detect changes, then security monitoring improves, but processing time increases
Solution Approach 1:
The system performs periodic identity verification and security status updates at predetermined intervals rather than continuously monitoring every data packet. This periodic action maintains accurate security monitoring by refreshing entity identity information regularly while significantly reducing processing time compared to continuous real-time tracking of all network traffic.
Solution Approach 2:
The system performs preliminary identity verification and stores security threat status information in advance before actual data packet processing occurs. This preliminary action creates a ready-reference database of verified entity identities, enabling rapid security decisions during data packet disposition without time-consuming verification during critical security events.
4Object-affected harmful factors
If the system blocks data packets from entities with high security threat status, then network security improves, but legitimate traffic may be blocked
Solution Approach 1:
The system implements feedback mechanisms where data packet disposition decisions are continuously refined based on verified entity identities and security threat statuses. By providing feedback loops that allow for verification of entity legitimacy and adjustment of security threat assessments, the system minimizes false positives while maintaining strong protection against actual cyberattacks, thus balancing security with network traffic flow.
Data Source
AI summary
Systematically verifying the identities of entities in control of Internet Protocol (IP) addresses and determining a security threat status for each of the entities based at least on the verified identity. As incoming data packets are received from an originating IP address, the entity in control of the originating IP address and their corresponding security threat status are identified and data packets are dispositioned i.e., blocked/dropped, sequestered or authorized for further transmission, based on the security threat status of the entity in control of the IP address.