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

Vamsikrishna, MangalapalliLatha, Garapati SwarnaBabu, Gajjala Venkata RameshGiridhar, KoppisettiAlluri, LakshmeelavanyaSomasekhar, GiddaluruSagar, Bhimunipadu Jestadi Job KarunaDondapati, Naresh
International Journal of Electrical and Computer Engineering (IJECE) (Sinta 1)Vol. 0 No. 01 Februari 2025
DOI10.11591/ijece.v15i1.pp1209-1217

Abstrak

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.

Kata Kunci

Internet of Things, Big Data and Cloud ComputingAnomalous activitiesArtificial neural networkBig data analyticsIntrusion attacksIntrusion detection systemMalicious actions

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Cloud computing environment based hierarchical anomaly intrusion detection system using artificial neural network | International Journal of Electrical and Computer Engineering (IJECE) | Publiora