Florida Atlantic Undergraduate Research Journal
Article Title
Common Cybersecurity Attack Types and Zeek-Based Detection Strategies in IoT Networks
Abstract
As cybersecurity threats increase in scale and complexity, the ability to distinguish hostile traffic from benign network activity is essential. This research examines five prevalent cyberattack categories that impact IoT environments and outlines detection strategies utilizing the open-source Intrusion Detection System (IDS) Zeek. This study provides practical detection methods designed for scalable, real-time environments by classifying five commonly encountered attacks, namely: Reconnaissance, Denial of Service (DoS) and Distributed Denial of Service (DDoS), Brute Force, Man-in-the-Middle (MitM) and Spoofing, and Botnet and Malware Behavior. For each attack, we analyze the prevalence, operational impact, and associated indicators. We also present Zeekbased pseudocode strategies structured by attack type. The findings emphasize the value of detection mechanisms and emphasize Zeek’s versatility across IoT networks.