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

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.

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Publication Details

Journal
International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering
Published
2024-11-18
DOI
https://doi.org/10.11591/ijece.v15i1.pp1209-1217
Citations
4
Primary Topic
Network Security and Intrusion Detection
Type
article
Field-Weighted Citation Impact
1.40
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article

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

Koppisetti Giridhar, Gajjala Venkata Ramesh Babu, Lakshmeelavanya Alluri, B. J. Job Karuna Sagar et al.
4 citations
International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering
Network Security and Intrusion Detection
1.40
article

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

Koppisetti Giridhar, Gajjala Venkata Ramesh Babu, Lakshmeelavanya Alluri, B. J. Job Karuna Sagar, Giddaluru Somasekhar, Garapati Swarna Latha, Naresh Dondapati
article en
4 citations

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.

International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer EngineeringVol. 15(1)
Rajamangala University of Technology Isan (TH), Elgin Community College (US), Sri Venkateswara University (IN), Aditya Birla (India) (IN), SRKR Engineering College
Openalex Percentile: Top 16%
Network Security and Intrusion Detection
1.40
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