Computer Security Arrangements TRIZ Cases
- Dynamic Endpoint Modeling and Grouping for Edge Threat Detection
Endpoint agents model behavior and detect threats beyond firewall boundaries.
- Contextual Session Prediction to Reduce Cloud Security False Positives
This case compares live cloud user sessions with historical profiles to flag abnormal operation accurately and speed security response.
- Virtualized Hardware Security Module for Isolated Cryptographic Services
Logical HSM partitioning supports general and special cryptographic operations in one device, reducing cost and hardware complexity.
- Data Host Access Control With Temporary Identifiers and Share Keys
A data host uses temporary identifiers and share keys to provide time-limited access while reducing direct data-sharing risks.
- Intermediate Model Privacy Violation Detection in Federated Learning
Client and network privacy engines screen intermediate models and training data against location-based rules before integration.
- Virtual Transaction Authentication via Intermediary Biometric Verification
Biometric challenges secure virtual transactions through an intermediary processor.
- AI Model Data Scrambling for Secure Device-to-Device Transmission
This case uses adaptive scrambling policies to protect AI model parameters and user privacy data during device-to-device transmission.
- Stateless Packet Marking for Stateful Firewall Rule Scaling
Hardware marking speeds firewall classification while software manages stateful flows.
- Randomized Friend Suggestions for Connection Graph Privacy
This case combines noisy recommendations and account behavior analysis to block connection-graph inference attacks.
- Permission-Based Video Stream Redaction for Secure Screen Sharing
Classify sensitive video components by permission category, redact the original stream, and tailor combined outputs to each endpoint.
- Cross-Account Phishing Detection and Targeted Remediation
This case combines cross-account commonality analysis with risk scoring to detect phishing quickly and restore affected accounts.
- Automated CVE Matching Through Keyword Extraction and Device Properties
Keyword extraction and device-property matching automate CVE identification for faster network vulnerability assessment.
- LLM Code Descriptions for Faster, Lower-False-Positive Malware Detection
LLM-generated code descriptions help classification models detect malicious activity while reducing manual review time.
- Network Event Monitoring Using Feature Drift Detection
This case compares production and training feature distributions to trigger targeted retraining or alerts when fraud-model drift appears.
- IoT Application Learning Through Specification-Free Payload Analysis
An event-generation engine learns IoT application behavior from payloads, adapting identification to new protocols without prior knowledge.
- Protected Execution Context Switching with Selective Save and Lazy Restore
Metadata tracks modified context elements for selective saving and lazy restoration, reducing power use and switching latency.
- Safety Fuse for ML Trust Manager Failover in SDN Networks
An SDN controller monitors ML trust performance and activates deterministic management when misuse or failure threatens network integrity.