A trust aware security mechanism to detect sinkhole attack in RPL-based IoT environment using random forest – RFTRUST

Prathapchandran, K.; Janani, T.

doi:10.1016/j.comnet.2021.108413

Cited by 51 publications

(24 citation statements)

References 23 publications

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“…are not applicable in the scalable and dynamic IoT environment, because these mechanisms consume more energy in the network. To cover security features due to the energy limit of the nodes in the network, Prathapchandran et al [39] introduced a lightweight RFTrust model based on trust, which was originally designed to withstand depression. The authors' proposed model uses random forest (RF) and Subjective Logic (SL) to improve the performance of the network while identifying a sinkhole attack.…”

Section: Related Workmentioning

confidence: 99%

Security Challenges of Selective Forwarding Attack and Design a Secure ECDH-Based Authentication Protocol to Improve RPL Security

et al. 2023

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Today, we could describe the Internet of Things (loT) as the pervasive and global network that provides a system for monitoring, controlling, processing, and analyzing the data generated by IoT devices. The huge amount of data generated by IoT devices when transported and routed through the internet presents several challenges. One of the common routing protocols in IoT networks is RPL (Routing Protocol for Low Power and Lossy Networks), but it is prone to security issues and attacks. Due to the presence of sensitive data in IoT and its exchange in the open network, issues of privacy and security in this network should be given special attention. In addition, the nodes in the Internet of Things have limited resources, and the symmetric encryption key is used to encrypt the data of all nodes, which has security weaknesses. Therefore, an efficient and secure authentication scheme is needed so that IoT nodes can authenticate each other and share a secure session key. In this article, we review security aspects of RPL protocols focusing on selective forwarding attacks. Further, we propose a key agreement and authentication mechanism based on ECDH (Elliptic-Curve Diffie-Hellman). We show that our design is very secure, that it meets security requirements, and that it can withstand known attacks while having low costs for computation and communication.

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Section: Related Workmentioning

confidence: 99%

Security Challenges of Selective Forwarding Attack and Design a Secure ECDH-Based Authentication Protocol to Improve RPL Security

et al. 2023

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“…(DIS and DAO are explained in Section 3.1.2). The authors in [20] designed a cryptography-based security measure to mitigate rank and version-number assaults using a hash chain, and malicious nodes were removed from the network using this rank chain.…”

Section: Related Workmentioning

confidence: 99%

Multi-Mobile Agent Trust Framework for Mitigating Internal Attacks and Augmenting RPL Security

Asim

Tariq

Baker

et al. 2022

Sensors

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Recently, the Internet of Things (IoT) has emerged as an important way to connect diverse physical devices to the internet. The IoT paves the way for a slew of new cutting-edge applications. Despite the prospective benefits and many security solutions offered in the literature, the security of IoT networks remains a critical concern, considering the massive amount of data generated and transmitted. The resource-constrained, mobile, and heterogeneous nature of the IoT makes it increasingly challenging to preserve security in routing protocols, such as the routing protocol for low-power and lossy networks (RPL). RPL does not offer good protection against routing attacks, such as rank, Sybil, and sinkhole attacks. Therefore, to augment the security of RPL, this article proposes the energy-efficient multi-mobile agent-based trust framework for RPL (MMTM-RPL). The goal of MMTM-RPL is to mitigate internal attacks in IoT-based wireless sensor networks using fog layer capabilities. MMTM-RPL mitigates rank, Sybil, and sinkhole attacks while minimizing energy and message overheads by 25–30% due to the use of mobile agents and dynamic itineraries. MMTM-RPL enhances the security of RPL and improves network lifetime (by 25–30% or more) and the detection rate (by 10% or more) compared to state-of-the-art approaches, namely, DCTM-RPL, RBAM-IoT, RPL-MRC, and DSH-RPL.

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“…IoT network security is an important issue and due to the scalability of this network, socalled security mechanisms such as encryption techniques, key management, intrusion detection system, and anomaly detection have many challenges to implement. Prathapchandran et al [40] Using the trust mechanism, they presented a lightweight approach that can be effective in ensuring IoT security. In their method of targeting network malicious nodes, they have used random forest (RF) and mental logic (SL).…”

Section: Related Workmentioning

confidence: 99%

Compatible Authentication and Key Agreement Protocol for Low Power and Lossy Network in Iot Environment

Peivandizadeh

Molavi²

2022

SSRN Journal

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A trust aware security mechanism to detect sinkhole attack in RPL-based IoT environment using random forest – RFTRUST

Cited by 51 publications

References 23 publications

Security Challenges of Selective Forwarding Attack and Design a Secure ECDH-Based Authentication Protocol to Improve RPL Security

Security Challenges of Selective Forwarding Attack and Design a Secure ECDH-Based Authentication Protocol to Improve RPL Security

Multi-Mobile Agent Trust Framework for Mitigating Internal Attacks and Augmenting RPL Security

Compatible Authentication and Key Agreement Protocol for Low Power and Lossy Network in Iot Environment

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