Angel D, and Dr. Robin Rohit Vincent

A Review of Security Challenges and Intrusion Detection Mechanisms to Mitigate Sub-Optimization Attacks in RPL-Based 6LoWPAN IoT Networks 

The Internet of Things (IoT) has transformed device connectivity with the smooth interfacing for realtime data exchange across multiple applications, from smart homes to industrial automation. Nonetheless, as networks under IoT, especially those using the routing protocol for low-power and lossy networks (RPL), continue in their expansion, the security penetration becomes much more evident. One of the major security constraints is suboptimization attacks-they negatively affect network performance, scalability, and data integrity. These attacks impede the very efficiency of the IoT systems, thereby making it so challenging for the systems to be secured and maintained successfully. Traditional IDS and cryptographic solutions are seldom fit-for-purpose in dynamic IoT environments, which opens up the need for the ability to provide scalable and energy-aware security solutions. This review investigates and surveys existing IDS, cryptographic solutions, and machine learning techniques targeting and working against such threats. It puts forth an integrated solution where an adaptive IDS is combined with scalable, energy-efficient, real-time anomaly detection to make IoT networks more resilient to sub-optimization attacks. According to this study, dynamic, contextaware safety measures are essential, as they are capeble of adressing the new challenges arising from IoT environments.

Reference:

DOI: 10.36244/ICJ.2026.1.10

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Please cite this paper the following way:

Angel D, and Dr. Robin Rohit Vincent, "A Review of Security Challenges and Intrusion Detection Mechanisms to Mitigate Sub-Optimization Attacks in RPL-Based 6LoWPAN IoT Networks ", Infocommunications Journal, Vol. XVIII, No 1, March 2026, pp. 90-99., https://doi.org/10.36244/ICJ.2026.1.10