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Name: Jose E. Ramos
Type: User
Company: Assurant
Bio: Sr. Enterprise Architect, Solution Architect, IT Director, Software Engineer, Director Site Reliability Engineering.
Location: Miami
Name: Jose E. Ramos
Type: User
Company: Assurant
Bio: Sr. Enterprise Architect, Solution Architect, IT Director, Software Engineer, Director Site Reliability Engineering.
Location: Miami
Net Core 3.1 web application to work with SharePoint Lists
Example clients for making API call to the AlertMedia product.
MongoDB e Azure Cosmos DB com API em C# .Net Core
APIs are exposed to the public or internal network interfaces, thus they are vulnerable to various security threats. Hackers can attack such APIs to steal sensitive data or to disrupt the services provided by APIs to the intended users. Therefore, API-based attack detection is important to identify and prevent fraudulent access to APIs. Since Machine learning (ML) and Artificial Intelligence (AI) have shown great potential in detecting abnormal patterns, AI is a useful tool in detecting attacks to the APIs. However, using AI/ML requires accurate data to learn the fraudulence patterns and to validate the developed solutions, which is a major challenge faced by data scientists and researchers. To address this challenge, we proposed an approach that learns to detect attacks using the generated data by attacking the APIs. Therefore, the solution will consist of two models for 1) attack detection, 2) attack generation. Assume if we want to detect DDOS attacks, the attack simulation model will try to simulate the DDOS attack without being detected by the attack detection model. If the attack is undetected and leads to the unavailability of the API, we can assign a penalty to attack detection model, and reward to the attacking model. We can allow both models to compete with each other similar to adversarial learning to achieve highly accurate attack detection models. This blogs [1] explains how adversarial learning is used to prevent attacks to the image recognition models. The goal of this project is to deliver an attack simulation and detection tool by improving adversarial learning approaches to simulate and detect API-based attacks.
Denial of Service Attack simulation using ns2 in Network Simulator
Digital Organism Simulation Environment (DOSE)
Apply to FNK0001, FNK0004
A basic template for expanding to use in the Systems Analysis and Design class
Instructions and scripts how to deploy Keptn on K3s
List Formatting Samples for use in SharePoint and Microsoft Lists
Simulating a Low-Rate TCP DoS Attack in ns-3
A versatile command and control center (CCC) for DDoS Botnet Simulation & Load Generation.
A simple PHP API to make working with SharePoint lists easy.
feedback form
This will hold the app to demonstrate the Power Apps Forms in a reusable way
A Python library for getting data out of SharePoint
Random Number Generator in Java
Use the SharePoint REST/OData endpoints to perform create, read, update, and delete operations on lists and list items from a SharePoint Add-in.
Read data from sharepoint lists
SharePoint Framework web part, Teams tab, personal app, app page samples
Code Repository for The Complete Self-Driving Car Course - Applied Deep Learning, published by Packt
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.