Sunday 10 December 2023

Flooding Attacks Detection Network Security Dissertation



This Dissertation Explores Enhancing Network Security: Wireshark-Based Anomaly Detection for Flooding Attacks - DDoS TCP SYN ICMP. This dissertation aims to explore the capabilities of Wireshark in identifying network flooding attacks. Wireshark employs anomaly detection technologies within its packet analyzer to detect flooding attacks, characterized as assault techniques on computer networks. In such attacks, assailants send various surges to users or administrators, intending to disrupt the network framework. Types of flooding assaults include UDP surges, ping surges, and Syn surges. Various challenges are associated with ping surge scenarios, utilizing ping commands to operate the framework, and the delivery of Wireshark. This includes establishing a casualty that quantifies the number of ping parcels received within a predefined time period associated with the flooding attack under study. The TCP SYN flood, commonly known as a Distributed Denial of Service (DDoS) attack, exploit

https://www.study-aids.co.uk/ict/flooding-attacks-detection/

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