A Survey on Security Aspects in RPL Protocol Over IoT Networks

Boualam, Soukayna Riffi; Ouaissa, Mariya; Ouaissa, Mariyam; Ezzouhairi, Abdellatif

doi:10.1007/978-3-031-05752-6_3

Studies in Big Data

2022

DOI: 10.1007/978-3-031-05752-6_3

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A Survey on Security Aspects in RPL Protocol Over IoT Networks

Soukayna Riffi Boualam

Mariya Ouaissa

Mariyam Ouaissa

et al.

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Cited by 3 publications

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“…Real-time updates to the trust values of nodes at the device layer are continually revising the trustworthiness of devices within the smart healthcare CPS. Every time a new device connects to the network or after a predetermined amount of time, the trust values are routinely updated by the GBG-RPL [89]. However, the device or subsequent trust calculation is assigned a minimum score of acceptable trust upon its initial request to join the network.…”

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confidence: 99%

Securing Smart Healthcare Cyber-Physical Systems against Blackhole and Greyhole Attacks Using a Blockchain-Enabled Gini Index Framework

Javed,

Tariq,

Ashraf

et al. 2023

Sensors

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The increasing reliance on cyber-physical systems (CPSs) in critical domains such as healthcare, smart grids, and intelligent transportation systems necessitates robust security measures to protect against cyber threats. Among these threats, blackhole and greyhole attacks pose significant risks to the availability and integrity of CPSs. The current detection and mitigation approaches often struggle to accurately differentiate between legitimate and malicious behavior, leading to ineffective protection. This paper introduces Gini-index and blockchain-based Blackhole/Greyhole RPL (GBG-RPL), a novel technique designed for efficient detection and mitigation of blackhole and greyhole attacks in smart health monitoring CPSs. GBG-RPL leverages the analytical prowess of the Gini index and the security advantages of blockchain technology to protect these systems against sophisticated threats. This research not only focuses on identifying anomalous activities but also proposes a resilient framework that ensures the integrity and reliability of the monitored data. GBG-RPL achieves notable improvements as compared to another state-of-the-art technique referred to as BCPS-RPL, including a 7.18% reduction in packet loss ratio, an 11.97% enhancement in residual energy utilization, and a 19.27% decrease in energy consumption. Its security features are also very effective, boasting a 10.65% improvement in attack-detection rate and an 18.88% faster average attack-detection time. GBG-RPL optimizes network management by exhibiting a 21.65% reduction in message overhead and a 28.34% decrease in end-to-end delay, thus showing its potential for enhanced reliability, efficiency, and security.

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mentioning

confidence: 99%

Securing Smart Healthcare Cyber-Physical Systems against Blackhole and Greyhole Attacks Using a Blockchain-Enabled Gini Index Framework

Javed,

Tariq,

Ashraf

et al. 2023

Sensors

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A systematic literature review on attacks defense mechanisms in RPL-based 6LoWPAN of Internet of Things

et al. 2023

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Comprehensive Examination of Version Number Attacks in IoT Networks: Nodes Hyperactivity as Specific Criterion

Belkhira,

Belkheir,

Rouissat

et al. 2024

Open Information Science

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The security landscape of Internet of Things (IoT) networks continues to draw significant attention from recent networks; the Version Number Attack (VNA) stands out as a prominent threat to IoT network resources. Routing Protocol for Low-Power and Lossy Network structures low-power and lossy networks through one or more Destination Oriented Directed Acyclic Graphs (DODAGs). Each DODAG is assigned a version number, serving the purpose of ensuring the existence of loop-free paths to the root node. In the event of any inconsistency detected by the root node, the version number is incremented, triggering a global repair process and the reconstruction of the Directed Acyclic Graph. A potential security concern arises when a malicious node advertises a false version number in its control message, compelling the initiation of a global repair process. This study conducts a comprehensive analysis of the VNA’s impact, considering various parameters that have not been explored in previous research articles. These parameters include an examination of the additional forwarding tasks introduced by the attack and an exploration of factors contributing to node hyperactivity (such as loops, local and global repairs, etc.). The article delves into the specific control messages that result in the detrimental effects of the attack, offering a detailed analysis of control overhead, energy consumption, Packet Delivery Ratio, and latency. The obtained results show that the DAO (Destination Advertisement Object) messages dominate the total control overhead and are the main contributor to the total consumer energy, where the closest the malicious node to the sink the more damaging is the attack.

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A Survey on Security Aspects in RPL Protocol Over IoT Networks

Cited by 3 publications

References 26 publications

Securing Smart Healthcare Cyber-Physical Systems against Blackhole and Greyhole Attacks Using a Blockchain-Enabled Gini Index Framework

Securing Smart Healthcare Cyber-Physical Systems against Blackhole and Greyhole Attacks Using a Blockchain-Enabled Gini Index Framework

A systematic literature review on attacks defense mechanisms in RPL-based 6LoWPAN of Internet of Things

Comprehensive Examination of Version Number Attacks in IoT Networks: Nodes Hyperactivity as Specific Criterion

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