Enhancing IoT Security: A Novel Feature Engineering Approach for ML-Based Intrusion Detection Systems

arXiv:2404.19114v1 Announce Type: cross
Abstract: The integration of Internet of Things (IoT) applications in our daily lives has led to a surge in data traffic, posing significant security challenges. IoT applications using cloud and edge computing are at higher risk of cyberattacks because of the expanded attack surface from distributed edge and cloud services, the vulnerability of IoT devices, and challenges in managing security across interconnected systems leading to oversights. This led to the rise of ML-based solutions for intrusion …

abstract applications arxiv challenges cloud computing cs.cr cs.lg cs.ne cyberattacks daily data detection edge edge computing engineering feature feature engineering integration internet internet of things iot iot security novel risk security security challenges systems traffic type