awesome-repositories.com
ब्लॉग
MCP
awesome-repositories.com

AI-संचालित खोज के साथ बेहतरीन ओपन-सोर्स रिपॉजिटरी खोजें।

एक्सप्लोर करेंक्यूरेटेड खोजेंओपन-सोर्स विकल्पसेल्फ-होस्टेड सॉफ्टवेयरब्लॉगसाइटमैप
प्रोजेक्टMCP सर्वरहमारे बारे मेंहम रैंकिंग कैसे करते हैंप्रेस
कानूनीगोपनीयताशर्तें
© 2026 Bringes Technology SRL·VAT RO45896025·hello@awesome-repositories.com
·

2 रिपॉजिटरी

Awesome GitHub RepositoriesCase-Isolated Storage

Data storage architectures that isolate investigation data into independent silos to ensure access control and audit integrity.

Distinct from Data Storage Architectures: Focuses on case-based isolation for security audits rather than general structural design or user binary storage.

Explore 2 awesome GitHub repositories matching data & databases · Case-Isolated Storage. Refine with filters or upvote what's useful.

Awesome Case-Isolated Storage GitHub Repositories

AI के साथ बेहतरीन रिपॉजिटरी खोजें।हम AI का उपयोग करके सबसे सटीक रिपॉजिटरी खोजेंगे।
  • nytimes/covid-19-datanytimes का अवतार

    nytimes/covid-19-data

    6,970GitHub पर देखें↗

    This project is a public health dataset providing historical and real-time COVID-19 case and death counts across the United States. It consists of a collection of CSV files containing time-series pandemic data organized by date, state, and county. The dataset includes specialized records for institutional outbreaks, tracking infection and death rates within correctional facilities, colleges, and universities. It also provides statistics on excess mortality to estimate total pandemic impact and survey-based data on mask usage prevalence across different counties. To facilitate geographic anal

    Retrieves historical time-series data on confirmed and probable cases and deaths at multiple geographic levels.

    covid-19
    GitHub पर देखें↗6,970
  • jpcertcc/logontracerJPCERTCC का अवतार

    JPCERTCC/LogonTracer

    3,136GitHub पर देखें↗

    LogonTracer is a security auditing tool designed for logon analysis and forensic log auditing. It functions as a dockerized security auditor that utilizes a security event graph database to map account names and network addresses, allowing for the visualization of complex system compromise patterns and authentication paths. The system features a Sigma detection engine that scans imported event logs against standardized rule sets to identify known malicious activity. It also includes an anomalous behavior detector that applies statistical analysis, graph algorithms, and hidden Markov models to

    Implements independent data silos for separate security investigation cases to maintain strict access control.

    Pythonactive-directoryblueteamdfir
    GitHub पर देखें↗3,136
  1. Home
  2. Data & Databases
  3. Data Engineering and Infrastructure
  4. Data Persistence and Storage
  5. Data Storage Architectures
  6. Case-Isolated Storage

सब-टैग एक्सप्लोर करें

  • Health Case-Isolated DataStructuring medical case data into isolated silos for analysis while maintaining audit integrity. **Distinct from Case-Isolated Storage:** Applied to pandemic case tracking rather than general legal or investigative silos.