A Multi-Threaded Distributed Cloud IDS Model for Network Access Traffic Management and Administrative Control

Pascal Adegher, Paschal Uchenna Chinedu, Rabiu B. Ahmad

Abstract


Cloud computing emerges as a way for businesses to cut expenses while simultaneously providing access to computation and resources on demand without having to setup an IT infrastructure. Through services like Amazon Web Services (AWS) or Microsoft Azure, businesses may immediately deploy and de-provision virtual machines (VMs) in accordance with their needs by only paying for the resources they really use. Cloud Service Providers (CSP) makes use of virtualization technologies in order to establish the required environment, and as such maximize the benefit of their systems. Authenticating users with passwords or digital certificates and maintaining data transmission confidentially aren’t enough to provide security in a distributed system. Due to its distributed model, the cloud is susceptible to and vulnerable to highly technical distributed intrusion attempts. An innovative multi-threaded distributed cloud IDS model has been developed in this study to manage large scale network access traffic and administrative control of data and applications in the cloud. The propounded Multi-thread Cloud Intrusion Detection System (IDS) integrates knowledge and behavior analysis to identify intrusions, handles enormous flows of data packets, analyzes them, and generates reports effectively.


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