A Review of Distributed Dynamic Key Management Schemes in Wireless Sensor Networks

Nabavi, Seyed Reza

doi:10.17706/jcp.13.1.77-89

Cited by 10 publications

(5 citation statements)

References 29 publications

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“…Material and methods This section presents the methodology utilized to review key revocation schemes in WSNs. To perform a thorough review and analysis of the literature on key revocation methods, this study adopts a review methodology (Nabavi and Mousavi, 2018). The methodology process flow is presented in figure 2.…”

Section: 0mentioning

confidence: 99%

“…Many reviews on key management schemes have been conducted in the recent past (Nour et al, 2020). Prominent among them are the authors in (Mall et al, 2013;Nabavi and Mousavi, 2018;Moara-Nkwe et al, 2018). A review of modern distributed dynamic key management schemes in WSNs was proposed in Nabavi and Mousavi, (2018).…”

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confidence: 99%

“…Prominent among them are the authors in (Mall et al, 2013;Nabavi and Mousavi, 2018;Moara-Nkwe et al, 2018). A review of modern distributed dynamic key management schemes in WSNs was proposed in Nabavi and Mousavi, (2018). The work investigates and discuses important requirements of distributed dynamic key management schemes in WSNs.…”

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confidence: 99%

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Analysis of Key Management Schemes for Centralized and Distributed Key Revocation in Wireless Sensor Networks

Yusuf,

Onomza Waziri,

Olalere

et al. 2024

Gadau J Pure Allied Sci

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Wireless sensor network (WSN) applications have been utilized for a variety of applications. Such as monitoring environments, military functions, and patient status monitoring. A major challenge in different applications of WSNs is security. This is because they are mostly deployed in a hostile environment, coupled with their constrained resources. Securing data and communication in WSNs requires appropriate cryptographic techniques. This is usually implemented through secure and efficient key management schemes. Research on key management in WSN is a work in progress. In this context, most research works focus on the key establishment and distribution aspect of the key management system. While less attention is devoted to key revocation and renewal techniques. For this reason, network and protocol designers encounter challenges in the design and implementation of the most appropriate schemes for WSN applications. This research work presents an exhaustive review of categories of key revocation schemes in existence. The study focuses on centralized and distributed categories only. A comparative analysis of the security and performance requirements of some selected candidates of centralized and distributed schemes was carried out. The results show that the KRRP scheme is the only solution among the selected candidates that can guarantee end-to-end data secrecy. This is because it merges the capability of private and public key cryptography in its implementation as shown in table 1. Also, the study observed most distributed schemes reviewed did not present energy overheads of process execution despite their complex nature. On the whole, this work outlines a much wider view of key management systems in terms of key revocation functionality and open research issues for the secure and efficient key management system.

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confidence: 99%

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Analysis of Key Management Schemes for Centralized and Distributed Key Revocation in Wireless Sensor Networks

Yusuf,

Onomza Waziri,

Olalere

et al. 2024

Gadau J Pure Allied Sci

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“…Key management techniques are compared with the consideration of scalability, node authentication, and their deployment knowledge. In this survey, we came to know that all the listed techniques have proper functionality, but the performance degradation is due to the mobility characteristic of nodes and they do not perform well in scalable environments [19][20][21][22][23]. The main reason for the low performance of EDDK is that it calculates the pair-wise keys when the node changes its neighborhood it affects the calculation of keys, pair-wise keys and foreign keys, which would show the wrong instance of pair-wise keys and recalculation of pairwise key is required.…”

Section: Security Analysismentioning

confidence: 99%

A cognitive key management technique for energy efficiency and scalability in securing the sensor nodes in the IoT environment: CKMT

Khan¹,

Anandharaj²

2019

SN Appl. Sci.

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IoT Consist of interrelated devices such as digital devices, mechanical devices, computer system, sensors, etc. for transceiving the information over the network. The scalability is essential to enhance the energy utilization and the performance of the environment, while mobility enhances the coverage of the system. Key management is vital for encrypted information transmitted over the network. Although many key management techniques are available, still it is a challenging issue concerning energy and computational cost, so robust key management technique is required that guarantees the required security requirements. In this paper, we proposed a cognitive key management technique (CKMT). The CKMT mechanism is helpful for key management and maintenance in a cluster-based mobile environment that reduces the rekeying process which is required for the mobile node when it enters the new location area, thereby reducing the computational overhead and enhances the scalability to large size network which makes our scheme more robust because strong key management technique is important while providing security services. Initially, we form a cluster, then Cluster-Head (CH) will be elected, it's a coordinator node that acts as a key manager. We also made an assumption that the sensors and Cluster-Heads are mobile, they can be able to shift from one position to another. This CH oversees and keeps up the private keys of sensors. When CH changes its location, it will hand over its responsibilities to the other CH in the network for uninterrupted communication. Our scheme uses local keys and foreign keys for each node and pairwise key is used only for the common nodes among the cluster so our scheme reduces the computational cost in the network under mobility condition. The results show that our proposed algorithm lowers the overhead in terms of computational costs, energy consumption, and delay.

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“…WSNs are usually comprised of a large number of sensor nodes equipped with limited energy resources, but they should operate for a long time without charge or battery replacement. To increase the network lifetime and reduce energy consumption of the sensor nodes of the network, clustering techniques have been presented to achieve an efficient relationship among the sensor nodes [3,4].…”

Section: Introductionmentioning

confidence: 99%

Optimal Selection of the Cluster Head in Wireless Sensor Networks by Combining the Multiobjective Genetic Algorithm and the Gravitational Search Algorithm

et al. 2021

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With the development of various applications of wireless sensor networks, they have been widely used in different areas. These networks are established autonomously and easily in most environments without any infrastructure and collect information of environment phenomenon for proper performance and analysis of events and transmit them to the base stations. The wireless sensor networks are comprised of various sensor nodes that play the role of the sensor node and the relay node in relationship with each other. On the other hand, the lack of infrastructure in these networks constrains the sources such that the nodes are supplied by a battery of limited energy. Considering the establishment of the network in impassable areas, it is not possible to recharge or change the batteries. Thus, energy saving in these networks is an essential challenge. Considering that the energy consumption rate while sensing information and receiving information packets from another node is constant, the sensor nodes consume maximum energy while performing data transmission. Therefore, the routing methods try to reduce energy consumption based on organized approaches. One of the promising solutions for reducing energy consumption in wireless sensor networks is to cluster the nodes and select the cluster head based on the information transmission parameters such that the average energy consumption of the nodes is reduced and the network lifetime is increased. Thus, in this study, a novel optimization approach has been presented for clustering the wireless sensor networks using the multiobjective genetic algorithm and the gravitational search algorithm. The multiobjective genetic algorithm based on reducing the intracluster distances and reducing the energy consumption of the cluster nodes is used to select the cluster head, and the nearly optimal routing based on the gravitational search algorithm is used to transfer information between the cluster head nodes and the sink node. The implementation results show that considering the capabilities of the multiobjective genetic algorithm and the gravitational search algorithm, the proposed method has improved energy consumption, efficiency, data delivery rate, and information packet transmission rate compared to the previous methods.

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A Review of Distributed Dynamic Key Management Schemes in Wireless Sensor Networks

Cited by 10 publications

References 29 publications

Analysis of Key Management Schemes for Centralized and Distributed Key Revocation in Wireless Sensor Networks

Analysis of Key Management Schemes for Centralized and Distributed Key Revocation in Wireless Sensor Networks

A cognitive key management technique for energy efficiency and scalability in securing the sensor nodes in the IoT environment: CKMT

Optimal Selection of the Cluster Head in Wireless Sensor Networks by Combining the Multiobjective Genetic Algorithm and the Gravitational Search Algorithm

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