Hands-On Machine Learning for Cybersecurity

Detecting distributed denial of series with time series

Distributed denial-of-service (DDoS) is a cybersecurity menace which disrupts online services by sending an overwhelming amount of network traffic. These attacks are manually started with botnets that flood the target network. These attacks could have either of the following characteristics:

• The botnet sends a massive number of requests to the hosting servers.
• The botnet sends a high volume of random data packets, thus incapacitating the network.

Time series analysis helps identify network patterns with respect to time. Such pattern detection is done with the historic monitoring of network traffic data. It helps to identify attacks like DDoS. These attacks can be very critical if implemented. ...