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Sayankar, Rutwik Arvind (2024) Blockchain-Based Detection and Analysis of DDoS Attacks in Decentralized Networks. Masters thesis, Dublin, National College of Ireland.
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Abstract
As most of the people using blockchain technology for secure and decentralized transactions, highlight the need of strong security measures against cyber threats. This research explores the impact of distributed denial-of-service (DDoS) attacks on the blockchain network. This analysis is focused on how DDoS attacks impact key performance analysis metrics like block processing time, CPU usage and network traffic. Also, this study examines the impact of various kind of traffic ranging from malicious ones like DDoS attacks to normal traffic, on the performance of blockchain functionality. This is done by using experiments with several validator nodes, member nodes of blockchain. According to the findings of this research, DDoS attacks increase block processing time, CPU usage and disturb network traffic, which highlights the vulnerability in the blockchain infrastructure. This research uses statistical analysis and machine learning to evaluate these effects and offers some methods to recognize threats. The results of this research offer valuable insights that can be helpful for researchers and people who work in the cybersecurity field. It also highlights the need for advanced security measures and regular monitoring within blockchain frameworks. This research suggests conducting additional studies by using advanced machine learning techniques to analyze the efficiency and scalability of the system and make blockchain safer.
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