Abstract
Smart devices are used in the era of the Internet of Things (IoT) to provide efficient and reliable access to services. IoT technology can recognize comprehensive information, reliably deliver information, and intelligently process that information. Modern industrial systems have become increasingly dependent on data networks, control systems, and sensors. The number of IoT devices and the protocols they use has increased, which has led to an increase in attacks. Global operations can be disrupted, and substantial economic losses can be incurred due to these attacks. Cyberattacks have been detected using various techniques, such as deep learning and machine learning. In this paper, we propose an ensemble staking method to effectively reveal cyberattacks in the IoT with high performance. Experiments were conducted on three different datasets: credit card, NSL-KDD, and UNSW datasets. The proposed stacked ensemble classifier outperformed the individual base model classifiers.
Highlights
Cyberattack and Fraud DetectionTechnology has become an integral part of our lives
Especially the Internet, is becoming more critical with the rapid advancements that make technology and the Internet interfere in every aspect of our lives, and this increased the attention toward Internet-based technologies, especially the Internet of Things (IoT)
The ensemble model for other hand, the fraud detection ensemble model was only trained with one dataset due cyberattack detection was trained on two different datasets: NSL-KDD and UNSW-NB15
Summary
The IoT allows connected devices to communicate and interact for a specific purpose without the need for human intervention [1] These devices include a variety of properties and qualities that facilitate machine-to-machine interactions, paving the way for a wide range of applications and technologies to arise [2]. Because of its ability to make people’s lives easier, give better experiences for customers and organizations, and improve job autonomy, the Internet of Things has become a hot topic in the last decade. Despite all of these advantages, the IoT is challenged with several constraints and barriers that could hinder its power to reach its full potential. Active attacks target systems and carry out malicious acts that compromise the system’s privacy and integrity
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