An enhanced security algorithm for detecting distributed denial of service attacks in cloud computing.
Baloyi, Coster
Baloyi, Coster
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Abstract
Cloud Computing has the benefit of offering on-demand scalable services to its customers without having to invest much in hardware infrastructure, resources, and software. Most private and public sectors are moving to the Cloud. As a result Cloud Computing has become an ideal option due to its flexibility, scalability, and cost efficiency. The existence of vulnerabilities in the network systems hosting Cloud services have raised an opportunity for attackers to launch attacks on Cloud Computing infrastructures (Shaar & Efe, 2022). Cybersecurity invaders target public and private sector’s key business applications, such as webservers, financial servers, legacy servers, and other servers hosted on the cloud (Alomari et al., 2012). Cybersecurity invaders attack these business applications, exploiting Distributed Denial of Service (DDoS) attacks (Alomari et al., 2012). This research study proposed an enhanced security algorithm to detect DDoS attacks using a real-time dataset to mitigate the challenges of large amount of network traffic data transmitted in the network. The MATLAB simulation tool was employed to simulate the proposed algorithm. The proposed algorithm has achieved good results of 99.2% detection rate compared to 98.1% of the CUSUM algorithm, 80% of EWMA algorithm and the 79.9% Naïve Bayes detection rate.
Description
Master of Computing in Information Technology in the Department of Information Technology, Faculty of Information and Communication Technology at the Tshwane University of Technology.
Date
2022-10-01
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Tshwane University of Technology.
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Keywords
Distributed Denial of Service Attacks., Cybersecurity., Cloud Computing., Quality of Service (QoS).