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All Journal International Journal of Electrical and Computer Engineering
Babu, Gajjala Venkata Ramesh
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Computer Science & IT Electrical & Electronics Engineering

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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 (IJECE) Vol 15, No 1: February 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v15i1.pp1209-1217

Abstract

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.
Co-Authors Alluri, Lakshmeelavanya Dondapati, Naresh Giridhar, Koppisetti Latha, Garapati Swarna Sagar, Bhimunipadu Jestadi Job Karuna Somasekhar, Giddaluru Vamsikrishna, Mangalapalli