A Lightweight Defense Approach to Mitigate Version Number and Rank Attacks in Low-Power and Lossy Networks

Nikravan, Mohammad; Movaghar, Ali; Hosseinzadeh, Mehdi

doi:10.1007/s11277-017-5165-4

Cited by 42 publications

(26 citation statements)

References 39 publications

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“…In Nikravan et al, 3 a method has been presented for detecting the malicious nodes in IoT. This hybrid intrusion detection model is used to detect the malicious operations of “selective forwarding” and “sinkhole attack” based on the 6LOWPAN protocol.…”

Section: Sinkhole Attacks and Detection Approachesmentioning

confidence: 99%

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A method based on encryption and node rating for securing the RPL protocol communications in the IoT ecosystem

Zaminkar¹,

Sarkohaki

Fotohi

2020

Int J Communication

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Summary Internet of Things (IoT) provides the possibility for milliards of devices throughout the world to communicate with each other, and data are collected autonomously. The big data generated by the devices should be managed securely. Due to security challenges, like malicious nodes, many approaches cannot respond to these concerns. In this paper, a robust hybrid method, including encryption, is used as an efficient approach for resolving the Low‐Power and Lossy Networks (RPL) protocol concerns so that the devices are connected securely. Therefore, the proposed Detection of sinkholes in RPL (DSH‐RPL) method for securing the RPL protocol comprises the four following phases: the first phase creates a reliable RPL. The second phase detects the sinkhole attack. The third phase quarantines the detected malicious node, and the fourth phase transmits data through encryption. The simulation results show that the DSH‐RPL reduces the false‐positive rate more than 18.2% and 23.1% and reduces the false‐negative rate more than 16.1% and 22.78% and it also increases the packet delivery rate more than 19.68% and 25.32% and increases the detection rate more than 26% and 31% compared to SecTrust‐RPL and IBOOS‐RPL.

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Section: Sinkhole Attacks and Detection Approachesmentioning

confidence: 99%

“…The proposed DSH‐RPL method has been simulated, and its performance evaluated in Network Simulator version 2 (NS‐2) running on Linux Ubuntu 14.03 LTS. The results were compared with both methods (SecTrust‐RPL 1 and IBOOS‐RPL 3 ).…”

Section: Performance Evaluationmentioning

confidence: 99%

A method based on encryption and node rating for securing the RPL protocol communications in the IoT ecosystem

Zaminkar¹,

Sarkohaki

Fotohi

2020

Int J Communication

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“…To mitigate the effects of the version number attacks, the researchers in [ 29 ] proposed and designed a lightweight approach. Every node in the RPL network executes independent algorithms, in which the state of the nodes is not stored.…”

Section: Literature Reviewmentioning

confidence: 99%

Detection and Mitigation of RPL Rank and Version Number Attacks in the Internet of Things: SRPL-RP

Almusaylim

Jhanjhi

Alhumam

2020

Sensors

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The rapid growth of the Internet of Things (IoT) and the massive propagation of wireless technologies has revealed recent opportunities for development in various domains of real life, such as smart cities and E-Health applications. A slight defense against different forms of attack is offered for the current secure and lightweight Routing Protocol for Low Power and Lossy Networks (RPL) of IoT resource-constrained devices. Data packets are highly likely to be exposed in transmission during data packet routing. The RPL rank and version number attacks, which are two forms of RPL attacks, can have critical consequences for RPL networks. The studies conducted on these attacks have several security defects and performance shortcomings. In this research, we propose a Secure RPL Routing Protocol (SRPL-RP) for rank and version number attacks. This mainly detects, mitigates, and isolates attacks in RPL networks. The detection is based on a comparison of the rank strategy. The mitigation uses threshold and attack status tables, and the isolation adds them to a blacklist table and alerts nodes to skip them. SRPL-RP supports diverse types of network topologies and is comprehensively analyzed with multiple studies, such as Standard RPL with Attacks, Sink-Based Intrusion Detection Systems (SBIDS), and RPL+Shield. The analysis results showed that the SRPL-RP achieved significant improvements with a Packet Delivery Ratio (PDR) of 98.48%, a control message value of 991 packets/second, and an average energy consumption of 1231.75 joules. SRPL-RP provided a better accuracy rate of 98.30% under the attacks.

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“…To mitigate the effect of the version number attack, the researchers in [29] proposed and designed a lightweight approach. Every node in the RPL network executes independent algorithms, in which the state of the nodes are not stored.…”

Section: Classification Based Rpl Version Number Attack Modification mentioning

confidence: 99%

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

Almusaylim¹,

Alhumam²,

Mansoor³

et al. 2020

Preprint

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The rapid growth of the smart Internet of Things (IoT) and massive propagation of wireless technologies revealed the recent opportunities for development in various domains of real life such as smart cities and E-Health applications. A slight defense against different forms of attacks is offered for the current secure and lightweight Routing Protocol for Low Power and Lossy Networks (RPL) of IoT resource-constrained devices. Data packets are highly likely to be exposed while transmitting them during data packets routing. The RPL rank and version number attacks, which are two forms of RPL attacks, can have critical consequences for RPL networks. The studies conducted on these attacks have several security defects and performance shortcomings. The research proposes a Secure RPL Routing Protocol (SRPL-RP) for rank and version number attacks. It mainly detects, mitigates and isolates attacks in the RPL networks. The detection is based on a comparison of ranks strategy. The mitigation uses threshold and attacks status tables, and the isolation adds them to a blacklist table and alerts relevant nodes to skip them. SRPL-RP supports diverse types of network topologies and is comprehensively analyzed with multiple studies such as Standard RPL with Attacks, SBIDS and RPL+ Shield. The analysis results showed that the SRPL-RP achieves great improvements with Packet Delivery Ratio (PDR) of 98.48%, control message value of 991 packets/second, and average energy consumption of 1231.75 joules. It provides a better accuracy rate with 98.17% under the attacks.

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A Lightweight Defense Approach to Mitigate Version Number and Rank Attacks in Low-Power and Lossy Networks

Cited by 42 publications

References 39 publications

A method based on encryption and node rating for securing the RPL protocol communications in the IoT ecosystem

A method based on encryption and node rating for securing the RPL protocol communications in the IoT ecosystem

Detection and Mitigation of RPL Rank and Version Number Attacks in the Internet of Things: SRPL-RP

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

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