Network Node Security Analysis via Connected-Node Querying
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Solution Overview
Problem
Existing technologies lack effective methods for identifying, investigating, and remediating security issues in network-connected devices, particularly in wireless networks, which are crucial for ensuring data confidentiality, integrity, and availability.
Innovation Solution
A system comprising a measurement device and a computing device that identifies network structure and nodes, collects security-relevant information, performs security analyses, and remediates potential issues by querying connected nodes and taking remedial actions such as disconnecting or securing vulnerable nodes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If security monitoring and analysis are performed on network nodes, then network security is improved, but system complexity and resource consumption increase
Solution Approach 1:
A cloud-based security analysis service acts as an intermediary between network nodes and security analysts. The service receives security data from multiple nodes, performs centralized analysis, and returns results without requiring complex local security infrastructure at each node. This mediates the complexity by centralizing it in the cloud while maintaining security monitoring capabilities across the network.
Solution Approach 2:
The system enables nodes to autonomously perform security self-assessments by executing security configurations and collecting self-diagnostic data without requiring external intervention. Nodes can independently query their own security status, identify vulnerabilities, and implement remediation actions, reducing the need for complex centralized management while improving overall network security.
2Measurement precision
If security data is collected from all network nodes, then security detection accuracy is improved, but data transmission and processing overhead increase
Solution Approach 1:
The system extracts only the most critical security data elements from nodes for transmission to the cloud service. Instead of collecting all possible security data, it selectively extracts key metrics such as vulnerability status, connection information, and security configuration states. This extraction approach maintains detection accuracy for critical threats while minimizing data transmission overhead and energy consumption.
3Speed
If automated remediation actions are implemented, then security response time is improved, but risk of false positives and unauthorized changes increases
Solution Approach 1:
The system implements a feedback loop where remediation actions are first proposed by the cloud security service, then validated through additional security analysis and node verification before execution. The system continuously monitors the effects of remediation actions and uses this feedback to refine future automated responses. This feedback mechanism reduces false positives by verifying assumptions before taking action while maintaining fast response times through automated workflows.
Data Source
AI summary
The devices, systems, and methods described herein are directed to identifying, investigating, and remediating security issues related to network-connected devices. In some examples, a structure of a network and the nodes associated with the network are identified, based at least partially on signals received from the nodes. Based on security-relevant information collected from the nodes, a potential security issue of a first node is identified. A second node of the network is queried regarding whether the second node has connected to the first node. A security analysis is performed on the second node based on results of the query.