Balanced Datasets for IoT IDS. (arXiv:2301.04008v1 [cs.CR])

As the Internet of Things (IoT) continues to grow, cyberattacks are becoming
increasingly common. The security of IoT networks relies heavily on intrusion
detection systems (IDSs). The development of an IDS that is accurate and
efficient is a challenging task. As a result, this challenge is made more
challenging by the absence of balanced datasets for training and testing the
proposed IDS. In this study, four commonly used datasets are visualized and
analyzed visually. Moreover, it proposes a sampling algorithm …

challenge cyberattacks datasets detection development ids idss internet internet of things intrusion intrusion detection iot networks result security study systems task testing things training