Detection and Mitigation of RPL Rank and Version Number Attacks in Smart Internet of Things

Almusaylim, Zahrah A.; Alhumam, Abdulaziz; Mansoor, Wathiq; Chatterjee, Pushpita; Jhanjhi, N. Z.

doi:10.20944/preprints202007.0476.v1

Cited by 14 publications

(6 citation statements)

References 31 publications

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“…Therefore, it would make sense if the device manufacturing companies put in measures like closing ports that would normally not be used by end-users and setting up non-trivial credentials. We also studied a prevention mechanism in which unused ports are closed and default login credentials are changed to thwart brute-force DoS attacks (Almusaylim et al, 2020;Kumar et al, 2015) which are currently the most happening. These attacks can also be stopped if standards are maintained across devices and companies manufacturing them.…”

Section: Related Workmentioning

confidence: 99%

Cooperative IDS for Detecting Collaborative Attacks in RPL-AODV Protocol in Internet of Everything

Babu

Padma

Nayak

et al. 2023

Journal of Database Management

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Internet of everything (IoET) is one of the key integrators in Industry 4.0, which contributes to large-scale deployment of low-power and lossy (LLN) networks to connecting people, processes, data, and things. The RPL is one of the unique standardized routing protocols that enable efficient use of smart devices energy, compute resources to address the properties and constraints of LLN networks. The authors investigate the RPL-AODV routing protocol's performance in combining the advantages of both RPL and AODV routing protocol, which works together in a low power resource-constrained network. The main challenging issue is collaborating the AODV and RPL routing protocol in the LLN network. This paper also models the collaborative attacks such as wormhole, blackhole attack for AODV, and rank and sinkhole attacks to exploit the vulnerability of RPL protocol. Finally, the cooperative IDS combining specification-based and signature-based IDS is proposed to detect the collaborative attacks against the RPL-AODV routing protocol that effectively monitors and provides security to the LLN networks.

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Section: Related Workmentioning

confidence: 99%

Cooperative IDS for Detecting Collaborative Attacks in RPL-AODV Protocol in Internet of Everything

Babu

Padma

Nayak

et al. 2023

Journal of Database Management

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“…With its modified RPL file, the malicious node increases the version number before forwarding received DIO messages ( Figure 6 ), thus triggering unnecessary global repairs. This increases overhead control and packet loss [ 53 ].…”

Section: Anomaly Detection Scenariosmentioning

confidence: 99%

Efficient Anomaly Detection for Smart Hospital IoT Systems

Said

Yahyaoui

Abdellatif

2021

Sensors

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In critical Internet of Things (IoT) application domains, such as the Defense Industry and Healthcare, false alerts have many negative effects, such as fear, disruption of emergency services, and waste of resources. Therefore, an alert must only be sent if triggered by a correct event. Nevertheless, IoT networks are exposed to intrusions, which affects event detection accuracy. In this paper, an Anomaly Detection System (ADS) is proposed in a smart hospital IoT system for detecting events of interest about patients’ health and environment and, at the same time, for network intrusions. Providing a single system for network infrastructure supervision and e-health monitoring has been shown to optimize resources and enforce the system reliability. Consequently, decisions regarding patients’ care and their environments’ adaptation are more accurate. The low latency is ensured, thanks to a deployment on the edge to allow for a processing close to data sources. The proposed ADS is implemented and evaluated while using Contiki Cooja simulator and the e-health event detection is based on a realistic data-set analysis. The results show a high detection accuracy for both e-health related events and IoT network intrusions.

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“…The extensive use of the IoT concept has contributed to the presence of RPL, which enables smart devices to interact or communicate in the surrounding ambient at anytime and anywhere. Recently, many studies have been conducted on the various aspect of RPL optimization, such as congestion control [23], data aggregation [24], security and mobility [25,26], and OF design [27]. While RPL significantly satisfies the requirements of LLN for IoT based applications, to be fit in the IIoT concept, some aspects are crucial, such as energy efficiency and reliable routing.…”

Section: Qos Provision In Resource-constrained Networkmentioning

confidence: 99%

An Energy Efficient Routing Approach for Cloud-Assisted Green Industrial IoT Networks

Bhandari

Cho

2020

Sustainability

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The green industrial Internet of things (IIoT) is emerging as a new paradigm, which envisions the concept of connecting different devices and reducing energy consumption. In multi-hop low power and lossy network, a resource-constrained node should aware of its energy consumption while routing the data packets. As part of IoT, the routing protocol for low power and lossy network (RPL) is considered to be a default routing standard. Recently, RPL has gained a significant maturity, but still, energy optimization is one of the main issues, because the default objective function (OF), which makes routing decision mainly based on a single parameter, such as link quality, and ignores the energy cost. Therefore, this paper aims to consider the concept of green IIoT concerning how a routing approach can achieve energy efficiency in resource-constrained IoT networks. For this, we propose a resource aware and reliable OF (RAROF), which constructs an optimum routing path by exploiting the information regarding the duty cycle, link quality, energy condition, and resource availability of a node. In addition, we propose node vulnerability index (NVI), a new routing metric that identifies the vulnerable nodes in terms of energy. To deal with the diverse data traffic of the IIoT network, we implement a multi-queuing based traffic differentiation approach that ensures the application requirements. The extensive simulation results show that the proposed RAROF can effectively extend the lifetime of the network, enhance the energy efficiency, and achieve higher reliability than that of other OFs. In this way, RAROF makes a routing decision with the purpose of extending network lifetime and minimizing energy depletion, paving the way towards green IIoT.

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Detection and Mitigation of RPL Rank and Version Number Attacks in Smart Internet of Things

Cited by 14 publications

References 31 publications

Cooperative IDS for Detecting Collaborative Attacks in RPL-AODV Protocol in Internet of Everything

Cooperative IDS for Detecting Collaborative Attacks in RPL-AODV Protocol in Internet of Everything

Efficient Anomaly Detection for Smart Hospital IoT Systems

An Energy Efficient Routing Approach for Cloud-Assisted Green Industrial IoT Networks

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