Enhancing IoT Security with Self-Adaptive Blockchain-Based Intrusion Detection System
Pramod Kumar Naik, Khaja Mannanuddin, Sundaresan K, Swati Sah, Harshal Patil, A. Firos · 2023
The extensive adoption of Internet of Things (IoT) devices has resulted in a revolution across a variety of business sectors by presenting previously unimaginable prospects for connection and automation. Despite this, there has been a significant increase in the usage of IoT, which has led to important security issues. This research presents a ground-breaking security solution known as the Self-Adaptive Blockchain-Based Intrusion Detection System (SAB-IDSI), which was developed particularly for Internet of Things (IoT) settings. In order to determine how well SAB-IDSI performs in contrast to traditional Intrusion Detection Systems (IDS), a series of experiments and assessments were carried out. The findings indicate that there was a significant increase in the accuracy of the intrusion detection. The outstanding capability of SAB-IDSI to reliably detect genuine incursions while limiting false alarms is demonstrated by its accuracy, which is 96.2%. False alerts are kept to a minimum. In addition to this, it has a very high recall rate of 94.8%, which ensures that it has a very high capture rate of genuine incursions. The fact that SAB-IDSI has a balanced F1-Score of 95.5% further validates its overall efficacy in the detection of intrusions. The average reaction time of 12.5 milliseconds for SAB-IDSI is clear evidence of its effectiveness in rapidly responding to threats, greatly surpassing the performance of traditional IDS. This highlights its potential for timely threat mitigation, which is essential in situations where time is of the essence. In addition to this, SAB-IDSI has a significantly lower energy consumption rate, which demonstrates its potential to increase the amount of time that Internet of Things devices may remain operational while also lowering total energy expenses.