Cloud computing environment based hierarchical anomaly intrusion detection system using artificial neural network

Vamsikrishna, Mangalapalli
Latha, Garapati Swarna
Babu, Gajjala Venkata Ramesh
Giridhar, Koppisetti
Alluri, Lakshmeelavanya
Somasekhar, Giddaluru
Sagar, Bhimunipadu Jestadi Job Karuna
Dondapati, Naresh

International Journal of Electrical and Computer Engineering
Vol 15, No 1: February 2025

Nowadays, computer technology is essential to everyday life, including banking, education, entertainment, and communication. Network security is essential in the digital era, and detecting intrusion threats is the most difficult problem. As a result, the network is monitored for unusual activity using this hierarchical anomaly intrusion detection system, and when these actions are detected, an alert is generated. This hierarchical anomaly intrusion detection system, which uses artificial neural network (ANN) and is implemented on a cloud computing environment, analyzes data even in the high levels of traffic and protects computer networks and data from malicious activity. As a result, this system shows better detection, accuracy, and precision rates.