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VOOZH | about |
Comprehensive Kubernetes security guide covering attack vectors, best practices, mitigation strategies, and tools aligned with CKS certification domains.
A masker and wiper for RAM data
This project simulates a Distributed Denial-of-Service (DDoS) attack in a virtual network environment. It models a network of nodes, some of which act as attackers flooding a target node with malicious traffic. The simulation supports various traffic mitigation strategies to analyze their effectiveness under attack conditions.
eduai-friction is a package promoting informed discussions around AI in education by analyzing "Four Frictions" and providing actionable steps.
Application of cryptography concepts and techniques to make a security audit and design a mitigation plan for a SME
This project was designed to explore the correlations between Delaware State COVID restrictions and small business closures and loss in revenue. In addition, this project illustrates Delaware COVID case counts by ZIP code as well as predict tomorrow's COVID case counts
As the Red Team, attack a vulnerable VM within the environment, ultimately gaining root access to the machine. As Blue Team, use Kibana to review logs taken during Day 1 engagement of Red Team’s attack.. Use the logs to extract hard data and visualizations for a detailed report of findings.
This simple repository offers a set of guards to mitigate secret leakage into application source codes. It can prevent the disclosure of sensitive API keys, web hooks and cloud tokens by setting three guards. Pre-commit, Pre-Push and on PR. If secret somehow escapes into the PR, it fails it and opens an issue.
The code presented here is meant to accompany our Playbook, which illustrates our threshold adjustment methodology that can mitigate bias in EHR-based classification models. Our paper and the Playbook can be found in npj Digital Medicine at the link below:
Modeling and Global Sensitivity Analysis of Strategies to Mitigate Covid-19 Transmission on a Structured College Campus
A forensic analysis of a simulated cyber-physical attack on Thames Water, exploring network intrusion, OT sabotage, and disinformation tactics.
This project is a CLI-based real-time DDoS attack detection and mitigation assistant powered by a lightweight AI model designed for live terminal execution. The system continuously monitors network logs (e.g., Nginx access logs) for anomalous traffic behavior and dynamically generates explainable incident reports — identifying attackers, explaining
Research on systemic failures in AI applications identified through news media, exploring risk factors and mitigation taxonomies.
Allows users to create, manage, and interact with a database of malware families
FFXIV mitigation sheets with job-aware logic. Automatically resolves generic tokens into specific abilities based on your party comp. Built with React + Vite.
Implementation of the AFMUC metamodel, a UML Misuse Case extension using Aspect-Oriented Modeling to modularize crosscutting security threats and mitigations. Includes the formal weaving algorithm, Coq-verified proofs, and Papyrus models based on the EU-Rent case study.
🔍 Analyze AI adoption frictions in education with eduai_friction, a tool for identifying challenges and developing actionable solutions for better integration.
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