The project aims to detect anoamlies in network traffic. The anomalies are then further classified into different types of attacks like DoS , port scanning,etc. The results are then analysed as a time series to predict whether an attack is going on or not.

describe what can people use it for, or how it makes existing tasks easier/safer e.t.c

The problem it solves

Availability and quality of data was a major problem

Network++

Network anomaly detection using Deep learning and Machine learning

Network++

Network anomaly detection using Deep learning and Machine learning

The problem Network++ solves

Challenges we ran into

Discussion

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