MU

Dissertations - Thesis

Detection and Prevention of DDoS Attacks on Private Blockchain

Institute

ENGINEERING

Stream

Computer Engineering

Course

M.E./M.Tech.

Author/s

Hansaben Vaghela

Supervisiors

Prof. Kajalben Tanchak

Co-Supervisiors

Year

April, 2023

Abstract

The blockchain technology of today is a developing technology. A distributed network system called the Blockchain employs a decentralised method of information storage. Security issues come first when using blockchain technology for transactions. It utilised more energy and called for additional storage. Endpoint vulnerability has an impact on security. It utilised more energy and called for additional storage. Endpoint vulnerability has an impact on security. Attackers take use of this flaw to harm the system and launch attacks. A DDoS attack is the most harmful type of attack on a blockchain peer-to-peer network. It has an impact on how accessible every internet-based network is. Blockchain DDoS attacks are particularly susceptible to node breakdowns, software failure, network congestion, and a bloated ledger. We suggested strengthening system security and defending against security attacks to stop this incident from happening. In this research, we suggest countering DDoS attacks on private blockchain networks using the open-source intrusion detection and prevention system (IDPS) Suricata. We begin by outlining DDoS attacks and how they affect private blockchains. The capabilities of Suricata for identifying and averting DDoS attacks are then briefly discussed. Then, including configuration and tuning settings, we provide a methodology for implementing Suricata on a private blockchain network. Lastly, using a simulated attack scenario, we assess Suricata's performance in preventing DDoS attacks on a private blockchain network. Our findings show that Suricata is a powerful tool for detecting and preventing DDoS attacks on private blockchain networks, adding an extra layer of defence against this danger


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