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Detecting Cybersecurity Threats using Deep Learning

Intermediate
Updated 07/2024
Develop a system that can detect Cyber Threats in your company's network traffic logs using Deep Learning.
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1 Task1,500 XP522

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Project Description

Develop a system that can detect Cyber Attacks in network traffic. Utilizing PyTorch, you will train a neural network model and implement real-time anomaly detection. The goal is to improve network security by identifying and mitigating sophisticated cyber-attacks.

Project Tasks

  1. 1
    Task 1

Technologies

Python PyTorch

Topics

Artificial Intelligence

Prerequisites

Introduction to Deep Learning with PyTorch
Shreya Vashist HeadshotShreya Vashist

DataCamp Content Developer

Shreya is a content developer at DataCamp. With a robust background in development, cloud computing and AI, she brings technical perspective to content development. Her experience in cutting-edge technology has honed her ability to understand technical concepts and translate into clear, engaging and accessible content.
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