Routing Attacks Detection in 6LoWPAN-Based Internet of Things

The Internet of Things (IoT) has become increasingly popular, and opened new possibilities for applications in various domains. However, the IoT also poses security challenges due to limited resources devices its dynamic network topology. Routing attacks on 6LoWPAN-based can be particularly challenging detect because unique characteristics network. In recent years, several techniques have been proposed detecting routing attacks, including anomaly detection. These leverage different features traffic identify classify attacks. This paper focuses that target Protocol Low-Power Lossy Networks (RPL), which are widely used systems. discussed this categorized as either inherited from Wireless Sensor or exploiting vulnerabilities RPL (known RPL-specific attacks). describes Flood Attacks, Data-DoS/DDoS Wormhole Rank Blackhole Version Sinkhole Attacks. paper, a novel Hybrid Intrusion Detection System (HIDS) combines decision tree classifier one-class Support Vector Machine is HIDS draws strengths both Signature (SIDS) an Anomaly-based (AIDS) with high degree accuracy low false alarm rate. dataset, genuine kinds was test HIDS. According findings, hybrid IDS study outperforms SIDS AIDS approaches, higher detection rates lower positive rates.