Fuzzy-Based Secure Authentication and Clustering Algorithm for Improving the Energy Efficiency in Wireless Sensor Networks

Sureshkumar, C.; Sabena, S.

doi:10.1007/s11277-020-07113-8

Cited by 21 publications

(13 citation statements)

References 24 publications

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“…In [4], a Fuzzy-based Secured Authentication and Clustering (FSAC) Algorithm is introduced, that monitors the transmitted packets of data, thereby avoiding such attacks. The existing methods do not take into account the significance of the distance factor while selecting the Cluster Head (CH) that ultimately resulted in the inefficient consumption of energy within the network.…”

Section: Literature Reviewmentioning

confidence: 99%

An Energy-Efficient Protocol for Internet of Things Based Wireless Sensor Networks

Mustafa¹,

Khalifa²,

Cengiz³

et al. 2023

Computers, Materials &Amp; Continua

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The performance of Wireless Sensor Networks (WSNs) is an important fragment of the Internet of Things (IoT), where the current WSNbuilt IoT network's sensor hubs are enticing due to their critical resources. By grouping hubs, a clustering convention offers a useful solution for ensuring energy-saving of hubs and Hybrid Media Access Control (HMAC) during the course of the organization. Nevertheless, current grouping standards suffer from issues with the grouping structure that impacts the exhibition of these conventions negatively. In this investigation, we recommend an Improved Energy-Proficient Algorithm (IEPA) for HMAC throughout the lifetime of the WSN-based IoT. Three consecutive segments are suggested. For the covering of adjusted clusters, an ideal number of clusters is determined first. Then, fair static clusters are shaped, based on an updated calculation for fluffy cluster heads, to reduce and adapt the energy use of the sensor hubs. Cluster heads (CHs) are, ultimately, selected in optimal locations, with the pivot of the cluster heads working among cluster members. Specifically, the proposed convention diminishes and balances the energy utilization of hubs by improving the grouping structure, where the IEPA is reasonable for systems that need a long time. The assessment results demonstrate that the IEPA performs better than existing conventions.

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Section: Literature Reviewmentioning

confidence: 99%

An Energy-Efficient Protocol for Internet of Things Based Wireless Sensor Networks

Mustafa¹,

Khalifa²,

Cengiz³

et al. 2023

Computers, Materials &Amp; Continua

View full text Add to dashboard Cite

show abstract

“…Simultaneously, the enhanced method actively creates pseudo cryptographic matrix for avoiding collusion attacks. Sureshkumar et al [23] proposed an FSAC method that observes the distinct types of the data packet transferred with the sensor for avoiding attacks. The FSAC is executed for utilizing the effective routing path to reduce energy utilization.…”

Section: Existing Security Based Solutions In Wsnmentioning

confidence: 99%

“…The active attacks are additionally categorized to control, privacy, and attacks to privacy. The main threat to privacy is eavesdropping [5]. It performs as a learner/listener for securing the data.…”

Section: Introductionmentioning

confidence: 99%

Intelligent Chimp Metaheuristics Optimization with Data Encryption Protocol for WSN

Manjula¹,

Priya²

2022

Intelligent Automation &Amp; Soft Computing

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Recent developments in low power electronic devices integrated into wireless communication technologies resulted in the domain of wireless sensor networks (WSN), which finds in applications in diverse data gathering and tracking applications. Since WSN is mostly deployed in harsh and inaccessible environments, it is necessary to design energy efficient and security solutions. The clustering technique is an effective way to lengthen the lifetime of WSN. But most of the clustering techniques elect cluster heads (CHs) irrespective of clusters. To resolve this issue, this paper presents a new intelligent metaheuristics based energy aware clustering with data encryption protocol (IMEAC-DEP) for WSN. The goal of the IMEAC-DEP technique is to elect an appropriate set of CHs and CHs to encrypt the data prior to intercluster communication. The proposed IMEAC-DEP model involves two major phases namely clustering and data encryption. At the first stage, a new chimp optimization algorithm based clustering (COA-C) technique is derived with four fitness parameters. Next, in the second stage, signcryption with artificial fish swarm optimization algorithm (SC-AFSA) based data encryption technique is derived. In order to validate the performance of the proposed IMEAC-DEP model, a series of experiments were performed and the results are investigated under different aspects. The resultant experimental values highlighted the superior performance of the IMEAC-DEP model over the recent stage of art methods interms of energy efficiency as well as security.

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“…Third parties' big data transfer problem is intermediate attacks and data protection, confidentiality, authentication, and credibility issues [16]. Data security in the distributed cluster head is significant when exchanging data [17]. A preimage attack against cryptographic hash functions attempts to locate a message that has a particular hash value [18].…”

Section: Overview Of Managing Data Security Using Keyed-hash Message Authentication Code-based Encryption Algorithmmentioning

confidence: 99%

Code-based encryption techniques with distributed cluster head and energy consumption routing protocol

Jalasri

Lakshmanan

2021

Complex Intell. Syst.

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Fog computing and the Internet of Things (IoT) played a crucial role in storing data in the third-party server. Fog computing provides various resources to collect data by managing data security. However, intermediate attacks and data sharing create enormous security challenges like data privacy, confidentiality, authentication, and integrity issues. Various researchers introduce several cryptographic techniques; security is still significant while sharing data in the distributed environment. Therefore, in this paper, Code-Based Encryption with the Energy Consumption Routing Protocol (CBE-ECR) has been proposed for managing data security and data transmission protocols using keyed-hash message authentication. Initially, the data have been analyzed, and the distributed cluster head is selected, and the stochastically distributed energy clustering protocol is utilized for making the data transmission. Code-driven cryptography relies on the severity of code theory issues such as disorder demodulation and vibration required to learn equivalence. These crypto-systems are based on error codes to build a single-way function. The encryption technique minimizes intermediate attacks, and the data have protected all means of transmission. In addition to data security management, the introduced CBE-ECR reduces unauthorized access and manages the network lifetime successfully, leading to the effective data management of 96.17% and less energy consumption of 21.11% than other popular methods.The effectiveness of the system is compared to the traditional clustering techniques.

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Fuzzy-Based Secure Authentication and Clustering Algorithm for Improving the Energy Efficiency in Wireless Sensor Networks

Cited by 21 publications

References 24 publications

An Energy-Efficient Protocol for Internet of Things Based Wireless Sensor Networks

An Energy-Efficient Protocol for Internet of Things Based Wireless Sensor Networks

Intelligent Chimp Metaheuristics Optimization with Data Encryption Protocol for WSN

Code-based encryption techniques with distributed cluster head and energy consumption routing protocol

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