We’re going to set out on a mind-blowing tour around network security. Upon considering the nearness and risk posed by cyber threats in this epoch, it is important to prevent the threats so that they do not cause irreversible damage within the network. This three-part article series will take you through the process of developing a network anomaly detection system using the Spring Boot framework in a robust manner. The series is organized as follows:
- Part 1: We’ll concentrate on the foundation and basic structure of our detection system, which has to be created.
- Part 2: The second volume deals with how to assist in controlling the diffusion of sensitive network information as it targets advanced techniques for actively monitoring the network at the present time.
- Part 3: In the last part, machine learning methods will be applied to the developed system, including algorithms, which will increase the system’s performance in terms of accuracy and ability to detect anomalies.
By the end of this series, you will have acquired quite a lot of knowledge in developing a strong-based network anomaly detection system using Spring Boot and making use of technologies to improve your organization’s security level.
This article has been indexed from DZone Security Zone