Multidirectional Trust-Based Security Mechanisms for Sinkhole Attack Detection in the RPL Routing Protocol for Internet of Things

• DOI: 10.58346/jowua.2023.i3.005
• Publication Date: 2023-10-10T11:04:08Z
• Authors: Sopha Khoeurt; Chakchai So-In; Pakarat Musikawan; Phet Aimtongkham
• Keywords: Sinkhole; False positive rate

The Internet of Things (IoT) has gained popularity in recent years by connecting physical objects to the Internet, enabling innovative applications. To facilitate communication low-power and lossy networks (LLNs), IPv6-based routing protocol for LLNs (RPL) is widely used. However, RPL’s lack specified security models makes it vulnerable threats, particularly sinkhole attacks. Existing attack detection techniques suffer from high delays false positives. overcome these limitations, our research we propose a multidirectional trust-based approach attacks RPL protocol. Our model introduces novel architecture that considers trust parent, child, neighbor directions, reducing delays. We enhance efficiency reduce positives combining fuzzy logic systems (FLSs) subjective (SL). Additionally, introduce new weight variable derived Shannon's entropy method multiattribute utility theory. adaptively adjust SL coefficient based on network conditions, replacing constant value compared most techniques, assess different indicators, such as false-positive rate, false-negative packet delivery ratio, throughput, average delay, energy consumption. results demonstrate superior performance all metrics, highlighting effectiveness approach.