Recent Developments in Botnet Detection Tools and Techniques for IoT Security: A Review
Ruchi Jain, Neelu Nihalani · 2024
The Internet of Things (IoT) embodies a paradigm shift in technology, connecting a diverse array of devices to enhance operational efficiency and user convenience across industries, educational settings, and urban infrastructures. This paper provides an in-depth examination of IoT’s evolution, showcasing its profound impact on transforming traditional practices through interconnected smart systems. Despite its numerous advantages, the widespread adoption of IoT introduces significant challenges in cyber security and privacy. Recent high-profile cyber-attacks have underscored vulnerabilities inherent in IoT networks. This study delves into the growing threat of IoT botnets, sophisticated networks of compromised devices exploited by malicious actors for largescale attacks. It explores cutting-edge detection methodologies, including advanced deep learning models and architectural frameworks such as IoT-BDA, designed to proactively identify and mitigate these emerging threats. By critically analyzing current methodologies and technological innovations, this research aims to bolster awareness and develop robust strategies to safeguard IoT ecosystems. Ultimately, these efforts seek to establish a secure foundation that fosters continuous innovation and sustainable development within the IoT landscape.