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Amazon SageMaker is a fully-managed platform that enables developers and data scientists to quickly and easily build, train, and deploy machine learning models at any scale. With Amazon SageMaker, all the barriers and complexity that typically slow down developers who want to use machine learning are removed. The service includes models that can be used together or independently to build, train, and deploy your machine learning models.

Botnet Attack Detection

By: Cloudwick Latest Version: version1.0

Product Overview

2016 has seen some of the largest DDOS (Distributed Denial of Service) attacks to date. The attacks were carried out by botnets comprised of insecure IoT devices from all over the world. Our goal is to detect botnet attacks using the traffic data from 9 different IoT devices. Each devices has been infected by authentic BASHLITE(gafgyt) and mirai malware and traffic is recorded. In addition to attack traffic, each device also has benign traffic details. Our goal is to classify the traffic into 11 classes (10 attacks, 1 benign).

Key Data

Version
By Cloudwick
Categories
Type Model Package
Fulfillment Methods Amazon SageMaker

Usage Information

Fulfillment Methods

Amazon SageMaker

Support Information

Botnet Attack Detection

If you need any support, have questions, or suggestions, please email ml-support@cloudwick.com

https://www.cloudwick.com

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Refund Policy

This product is offered for free. If there are any questions, please contact us for further clarifications.

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