Secure Key Management and Mutual Authentication Protocol for Wireless Sensor Network by Linking Edge Devices using Hybrid Approach

Sharmila, None; Kumar, Pramod; Bhushan, Shashi; Kumar, Manoj; Alazab, Mamoun

doi:10.1007/s11277-023-10410-7

Cited by 11 publications

(4 citation statements)

References 47 publications

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“…Sharmila et.al. [15] in their article proposed a hybrid secure key management scheme using ECC and a hash function that generates key pre-distribution keys in wireless sensor networks. So as to achieve mutual authentication among the sensor nodes this hybrid approach is useful and it possesses less computational complexity.…”

Section: Literature Surveymentioning

confidence: 99%

DAR Model: A Novel Symmetric Key Enabled Security architecture for reliable data transfer in Wireless Sensor Networks

Seelamanthula Sreenivasu

2023

IJRITCC

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Security is an indispensable aspect in every transaction happening in the network transmissions. Wireless Sensor Networks are pretty vulnerable to the security attacks. Hence a highly efficient architectural model is very much essential in designing the sensor networks. Cryptographic algorithms play a vital role in providing encryption and decryption to the data being transmitted consequently with which security is offered in an elegant manner. In this paper, a reliable design comprising three pioneering algorithms enabled with symmetric key is architected for secure communication in wireless sensor networks from a node to the base station. The design involves two phases. In the former phase two algorithms which are effective in all perspectives are used for data transmission from node to cluster head and in the latter phase another proficient algorithm is used for communication between cluster head to base station. The three algorithms used are Data Encryption Standard (DES), Advanced Encryption Standard (AES) and RC4. Both block and stream cipher algorithms are used to fine tune the performance; and in addition, the data has been compressed with unprecedented techniques to reduce the burden on encryption. This led to an amazing performance in terms of security parameters.

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Section: Literature Surveymentioning

confidence: 99%

DAR Model: A Novel Symmetric Key Enabled Security architecture for reliable data transfer in Wireless Sensor Networks

Seelamanthula Sreenivasu

2023

IJRITCC

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“…Since there are fewer sensor nodes available in WSNs than in conventional networks, privacy methods change [28]. Larger key sizes are necessary for current encryption systems to offer high-security levels, increasing the computing and interpersonal expenses associated with key formation.…”

Section: Introductionmentioning

confidence: 99%

“…Larger key sizes are necessary for current encryption systems to offer high-security levels, increasing the computing and interpersonal expenses associated with key formation. In [28], a hybrid key administration method was proposed for WSNs connecting devices at the edge that create pre-distribution keys…”

Section: Introductionmentioning

confidence: 99%

Robust and Secure Routing Protocol Based on Group Key Management for Internet of Things Systems

Othmen,

Mansouri,

Asklany

2024

Eng. Technol. Appl. Sci. Res.

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The Internet of Things (IoT) has significantly altered our way of life, being integrated into many application types. These applications require a certain level of security, which is always a top priority when offering various services. It is particularly difficult to protect the information produced by IoT devices from security threats and protect the exchanged data as they pass through various nodes and gateways. Group Key Management (GKM) is an essential method for controlling the deployment of keys for network access and safe data delivery in such dynamic situations. However, the huge volume of IoT devices and the growing subscriber base present a scalability difficulty that is not addressed by the current IoT authentication techniques based on GKM. Moreover, all GKM models currently in use enable the independence of participants. They only concentrate on dependent symmetrical group keys for each subgroup, which is ineffective for subscriptions with very dynamic behavior. To address these issues, this study proposes a unique Decentralized Lightweight Group Key Management (DLGKM) framework integrated with a Reliable and Secure Multicast Routing Protocol (REMI-DLGKM), which is a reliable and efficient multicast routing system for IoT networks. REMI-DLGKM is a cluster-based routing protocol that qualifies for faster multiplex message distribution within the system. According to simulation results, this protocol is more effective than cutting-edge protocols in terms of end-to-end delay, energy consumption, and packet delivery ratio. The packet delivery ratio of REMI-DLGKM was 99.21%, which is 4.395 higher than other methods, such as SRPL, QMR, and MAODV. The proposed routing protocol can reduce energy consumption in IoT devices by employing effective key management strategies.

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“…The study mainly focuses on the utilization of spectral classification to improve the clustering process and enhance network security. A comprehensive evaluation of the proposed approach EEAS, SFTNP, AWFS and SEETA-IoT (22)(23)(24)(25) was proposed, considering energy consumption as a key metric. The results demonstrate the effectiveness of the algorithm in achieving secure and energy-efficient WSNs, highlighting its potential for real-world applications with minimal drawbacks.…”

Section: Introductionmentioning

confidence: 99%

Energy Aware Adaptive Sleep Scheduling and Secured Data Transmission Protocol to enhance QoS in IoT Networks using Improvised Firefly Bio-Inspired Algorithm (EAP-IFBA)

Nithyanandh,

Omprakash,

Megala

et al. 2023

IJST

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Objectives: To propose a suitable bio-inspired algorithm for energy-aware adaptive sleep scheduling and secured data transmission in IoT networks. Machine learning with bio-inspired technique is employed to schedule sleep periods for sensor nodes to maximize the lifetime of the IoT network, minimize energy consumption, and ensure robust data security during attacks. Methods: Improvised Firefly Bio-Inspired Algorithm (IFBA) is employed for adaptive sleep scheduling, and Dynamic Key Distribution Management (DKDM) with the elliptic curve method is used for secured and reliable data transmission between sensor nodes. Enhanced Recurrent Neural Networks (ERNN) with the N-Key method is deployed to identify the abnormal patterns associated with attacks and topology changes. Mean Square Error Data Recovery (MSEDR) is utilized to evaluate the error in data recovery, and Q-Learning Technique (QLT) with action sets is used to identify the finest path to ensure fast transmission of data. OMNETC++ simulator software is used to evaluate the performance of the proposed EAP-IFBA IoT network protocol with baseline protocols such as IWD-ARP, ECC-ILEACH, and RLSSA-CDGP. Findings: The proposed EAP-IBFA sleep scheduling and secured data transmission algorithm outperforms the prevailing methods IWD-ARP, ECC-ILEACH, and RLSSA-CDGP with an energy depletion rate of 8%, 97.5% alive nodes, 98% network life span in an IoT environment, 97.6% data transmission speed, 98% quick sleep scheduling, and 96.5% robustness to attacks. Novelty: The comprehensive solution of EAP-IFBA enhances QoS in IoT sensor networks. The proven results show that the proposed novel sleep scheduling and secured https://www.indjst.org/ 2753

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Secure Key Management and Mutual Authentication Protocol for Wireless Sensor Network by Linking Edge Devices using Hybrid Approach

Cited by 11 publications

References 47 publications

DAR Model: A Novel Symmetric Key Enabled Security architecture for reliable data transfer in Wireless Sensor Networks

DAR Model: A Novel Symmetric Key Enabled Security architecture for reliable data transfer in Wireless Sensor Networks

Robust and Secure Routing Protocol Based on Group Key Management for Internet of Things Systems

Energy Aware Adaptive Sleep Scheduling and Secured Data Transmission Protocol to enhance QoS in IoT Networks using Improvised Firefly Bio-Inspired Algorithm (EAP-IFBA)

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