fnascimento-pucrs Goto Github PK
Name: Francisco Assis Nascimento
Type: User
Name: Francisco Assis Nascimento
Type: User
Source Code for 'Beginning Anomaly Detection Using Python-Based Deep Learning' by Sridhar Alla and Suman Kalyan Adari
Cyber Attack Detection thanks to Machine Learning Algorithms
This project contains three datasets having different modern reflective DDoS attacks such as PortMap, NetBIOS, LDAP, MSSQL, UDP, UDP-Lag, SYN, NTP, DNS, and SNMP. These datasets are based on the DCIC-DDoS2019 dataset proposed by man Sharafaldin et al. (2019). After the pre-processing of the DCIC-DDoS2019 dataset, we have created three different da
A Flask app integrated with Celery to execute tasks over a cluster of resources/compute units.
Repository for IEEE CCNC'21 paper titled "Edge-Detect: Edge-centric Network Intrusion Detection using Deep Neural Network".
Exploration of many IoT Intrusion Detection System datasets.
A Pytorch implementation of a proof-of-concept Intrusion Detection and Prevention system
The iFogSimToolkit (with its new release iFogSim2) for Modeling and Simulation of Resource Management Techniques in Internet of Things, Edge and Fog Computing Environments. In the new release Mobili Management, Microservice Management, and Dynamic Clustering mechanisms are added as new features.
This project is a network intrusion detector that uses machine learning algorithms to distinguish between bad (intrusions/attacks) and good (normal) connections. The UI is built using Flask framework and the KDD Cup 1999 dataset is used for training. Python, Flask, and Scikit-learn are the main technologies used in this project.
Network Intrusion Detection based on various machine learning and deep learning algorithms using UNSW-NB15 Dataset
My masters project on Botnet Network Intrusion Detection on Resource Constrained Devices for IoT Applications
A beautiful, simple, clean, and responsive Jekyll theme for academics
Mastering PyTorch, published by Packt
PySpark solution to the NSL-KDD dataset: https://www.unb.ca/cic/datasets/nsl.html
Source Code for 'PyTorch Recipes' by Pradeepta Mishra
Here, we use RNN to deal with the network intrusion problem. The UNSW-NB15 dataset is used.
Development of a transfer learning system for the detection of cyber-attacks in 5G and IoT networks. Transfer learning will improve the accuracy and precision of cyber-attacks detection in 5G /IoT networks with limited computing capability and datasets with scarce labeled data.
VIoLET: A Large-scale Virtual Environment for Internet of Things
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.