Intelligent Malware Detection System Based on Behavior Analysis in Cloud Computing Environment
Author
Abstract

IBMD(Intelligent Behavior-Based Malware Detection) aims to detect and mitigate malicious activities in cloud computing environments by analyzing the behavior of cloud resources, such as virtual machines, containers, and applications.The system uses different machine learning methods like deep learning and artificial neural networks, to analyze the behavior of cloud resources and detect anomalies that may indicate malicious activity. The IBMD system can also monitor and accumulate the data from various resources, such as network traffic and system logs, to provide a comprehensive view of the behavior of cloud resources. IBMD is designed to operate in a cloud computing environment, taking advantage of the scalability and flexibility of the cloud to detect malware and respond to security incidents. The system can also be integrated with existing security tools and services, such as firewalls and intrusion detection systems, to provide a comprehensive security solution for cloud computing environments.

Year of Publication
2023
Date Published
aug
Publisher
IEEE
Conference Location
Kollam, India
ISBN Number
9798350333244
URL
https://ieeexplore.ieee.org/document/10245065/
DOI
10.1109/ICCPCT58313.2023.10245065
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