A Study on Impact of DIS flooding Attack on RPL-based 6LowPAN Network

Rajasekar, Venkatesh; Rajkumar, S

doi:10.1016/j.micpro.2022.104675

Cited by 12 publications

(6 citation statements)

References 17 publications

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“…Different evaluation studies have shown the potential damages of flooding attacks. A common example is the DISF attack, which can adversely decrease PDR and increase delay and energy consumption as indicated by the experimental results in [51,52]. The results in [53] demonstrated the ability of the DISF attack to highly degrade energy consumption in addition to nodes' DODAG attachment time.…”

Section: Related Workmentioning

confidence: 94%

A Lightweight Mitigation Approach against a New Inundation Attack in RPL-Based IoT Networks

Rouissat,

Belkheir,

Alsukayti

et al. 2023

Applied Sciences

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Internet of Things (IoT) networks are being widely deployed for a broad range of critical applications. Without effective security support, such a trend would open the doors to notable security challenges. Due to their inherent constrained characteristics, IoT networks are highly vulnerable to the adverse impacts of a wide scope of IoT attacks. Among these, flooding attacks would cause great damage given the limited computational and energy capacity of IoT devices. However, IETF-standardized IoT routing protocols, such as the IPv6 Routing Protocol for Low Power and Lossy Networks (RPL), have no relevant security-provision mechanism. Different variants of the flooding attack can be easily initiated in RPL networks to exhaust network resources and degrade overall network performance. In this paper, a novel variant referred to as the Destination Information Object Flooding (DIOF) attack is introduced. The DIOF attack involves an internal malicious node disseminating falsified information to instigate excessive transmissions of DIO control messages. The results of the experimental evaluation demonstrated the significant adverse impact of DIOF attacks on control overhead and energy consumption, which increased by more than 500% and 210%, respectively. A reduction of more than 32% in Packet Delivery Ratio (PDR) and an increase of more than 192% in latency were also experienced. These were more evident in cases in which the malicious node was in close proximity to the sink node. To effectively address the DIOF attack, we propose a new lightweight approach based on a collaborative and distributed security scheme referred to as DIOF-Secure RPL (DSRPL). It provides an effective solution, enhancing RPL network resilience against DIOF attacks with only simple in-protocol modifications. As the experimental results indicated, DSRPL guaranteed responsive detection and mitigation of the DIOF attacks in a matter of a few seconds. Compared to RPL attack scenarios, it also succeeded in reducing network overhead and energy consumption by more than 80% while maintaining QoS performance at satisfactory levels.

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Section: Related Workmentioning

confidence: 94%

A Lightweight Mitigation Approach against a New Inundation Attack in RPL-Based IoT Networks

Rouissat,

Belkheir,

Alsukayti

et al. 2023

Applied Sciences

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“…In [29], the author covered the DIS flooding attack debated in this paper portentous that swelling the numeral of attacker nodes has an evident negative effect on end-toend delay, packet detection ratio, and power consumption.…”

Section: Review Of Literaturementioning

confidence: 99%

K-Means Clustering-Based Trust (KmeansT) Evaluation Mechanism for Detecting Blackhole Attacks in IoT Environment

M.,

2024

IJCDS

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The Internet of Things (IoT) has revolutionized numerous aspects of our lives, offering many applications that enhance convenience and comfort. However, alongside its significant benefits, IoT introduces several research challenges, with security emerging as a primary concern. Given the sensitive nature of the information exchanged within IoT environments, ensuring robust security measures is imperative. One prominent threat in IoT environments is the potential for malicious attacks, which can exploit vulnerabilities and disrupt network operations. Among these threats, blackhole attacks pose a particularly concerning risk, as they involve malicious entities dropping all incoming packets, disrupting routing operations, and impeding communication. To mitigate the risks posed by blackhole attacks and enhance the security of IoT networks, a novel approach known as the K-means clustering-based Trust (KmeansT) evaluation mechanism has been proposed. This innovative method employs a multifaceted trust evaluation process, incorporating both direct observations and recommendations from other network entities. By leveraging the K-means clustering algorithm, the proposed mechanism enhances the effectiveness of trust evaluation, enabling a more accurate assessment of node reliability and integrity. One of the key strengths of the KmeansT approach lies in its ability to identify and mitigate blackhole attacks within the IoT environment effectively. Through rigorous mathematical modeling and simulation studies, the efficacy of the proposed mechanism in detecting and neutralizing blackhole threats is demonstrated. Simulation results are analyzed comprehensively, with performance metrics compared against existing models to assess the effectiveness of the KmeansT approach. By evaluating constraints such as end-to-end delay, packet delivery, and detection ratio, the superiority of the anticipated mechanism in safeguarding IoT networks against blackhole attacks is underscored.

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“…RPL utilises the IEEE 802.15.4 standard and the 6LoWPAN adaptation layer to provide a longdistance vector protocol optimised for IPv6 low-power devices. Motivated by the desire to improve coordination between many nodes in a peer-to-peer or renewed star network [38]- [40], the routing over LLNs (RoLL) working group presented the routing requirements for low power and lossy networks (LLNs) in public, factoring in the disadvantage of powering, processing, and mind resources. With this protocol, the network's nodes are organised into a hierarchical structure with multiple intermediate nodes, allowing any node to broadcast information to its parent [41], [42], which will then forward it to the next higher level, ultimately reaching the gateway or sink node.…”

Section: Description Of Rpl 31 Overview Of Rplmentioning

confidence: 99%

Review of routing protocol for low power and lossy network in the internet of things

Saare,

Lashari,

Khalil

et al. 2023

IJEECS

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The growth of internet of things (IoT) devices and apps has caused disruptions in key sectors such as smart environment, healthcare, and mission-critical tool. Security of IoT devices, networks, and infrastructure is the biggest challenge. RPL, a routing protocol optimised for low-power and lossy networks, is applied by the IoT to offer seamless information transfer among the myriad of interconnected entities. So, the paper delves into the nuts and bolts of RPL, covering its protocol settings, trickle timer, and objective function, as well as the IoT’s architecture and applications. This article also provides a framework for categorising past research on the effects of RPL-IoT on energy consumption, transportation, service quality, traffic congestion, and safety. The future of energy efficiency, congestion, objective function, mobility, stability, security, collaborative intrusion detection systems, active learning, and Key Management are all considered in this analysis.

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A Study on Impact of DIS flooding Attack on RPL-based 6LowPAN Network

Cited by 12 publications

References 17 publications

A Lightweight Mitigation Approach against a New Inundation Attack in RPL-Based IoT Networks

A Lightweight Mitigation Approach against a New Inundation Attack in RPL-Based IoT Networks

K-Means Clustering-Based Trust (KmeansT) Evaluation Mechanism for Detecting Blackhole Attacks in IoT Environment

Review of routing protocol for low power and lossy network in the internet of things

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