JOURNAL ARTICLE

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

M. Vamsi KrishnaGarapati Swarna LathaGajjala Venkata Ramesh BabuKoppisetti GiridharLakshmeelavanya AlluriGiddaluru SomasekharB. J. Job Karuna SagarNaresh Dondapati

Year: 2024 Journal:   International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering Vol: 15 (1)Pages: 1209-1209   Publisher: Institute of Advanced Engineering and Science (IAES)

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.

Keywords:
Intrusion detection system Cloud computing Computer science Anomaly detection Artificial neural network Anomaly (physics) Anomaly-based intrusion detection system Network security Intrusion Data mining Real-time computing Artificial intelligence Computer security Operating system

Metrics

3
Cited By
2.51
FWCI (Field Weighted Citation Impact)
0
Refs
0.82
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Network Security and Intrusion Detection
Physical Sciences →  Computer Science →  Computer Networks and Communications
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