Information security in WSN applied to smart metering networks based on cryptographic techniques

Varela, Noel; Lezama, Omar Bonerge Píneda; Neira, Harold

doi:10.3233/jifs-189167

Cited by 4 publications

(4 citation statements)

References 15 publications

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“…In this regard, security mechanisms are needed to protect them. Traditional security mechanisms do not meet the needs of WSN sensor nodes and design a security mechanism that meets the characteristics of WSNs [15][16][17]. Before that, its nodes are first adjusted to improve energy utilization.…”

Section: Application Of Deec Algorithm In Wsn Hierarchical Processingmentioning

confidence: 99%

“…In formula (14), k(x i , x j ) denotes the radial basis kernel function, σ denotes the parameter, x i denotes the i sample of the input sample, and j denotes the serial number. The classification function is obtained as shown in formula (15).…”

Section: Application Of Ipso-svm Algorithm In Wsn Intrusion Detectionmentioning

confidence: 99%

“…In formula (15), f (•) denotes the classification function, α i denotes the Lagrange multiplier, b denotes the bias value, d i ∈ {+1, −1} is the corresponding target output, +1 and −1 denote normal and abnormal respectively, and the number of input samples is set as M . Compared with the PSO algorithm, the IPSO algorithm can avoid the PSO algorithm's tendency to fall into local extrema and improve the ability and accuracy of local search.…”

Section: Application Of Ipso-svm Algorithm In Wsn Intrusion Detectionmentioning

confidence: 99%

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Intrusion Detection in Wireless Sensor Networks Based on IPSO-SVM Algorithm

Lv,

Wan

2024

JCSANDM

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To optimize node energy consumption and improve its security, this paper uses the DEEC algorithm to layer WSN and reduce the probability of channel information collision and uses the weighted probability of cluster head election to optimize node energy expenditure, so that WSN can obtain a longer lifecycle. Improved Particle Swarm Optimization-based Support Vector Machine (IPSO-SVM) algorithm is used for intrusion detection and experimental testing in WSN. The results showed that the IPSO-SVM algorithm exhibited good convergence, with a convergence step size of 5 steps, which converged earlier than the Support Vector Machine Algorithm based on Particle Swarm Optimization (PSO-SVM), which had a convergence step size of 10 steps. The IPSO-SVM algorithm performed best in WSN intrusion detection, with the highest detection rate of 96.20% in Probe attack data detection, which was 0.80% higher than the Support Vector Machine Algorithm based on Genetic Algorithm (GA-SVM). The PSO-SVM algorithm had the lowest detection rate of 95.20%. The IPSO-SVM algorithm had a minimum false positive rate of 1.54% in Dos attack data detection. In terms of average training time, the IPSO-SVM algorithm had a minimum average training time of 323.45 seconds. Compared to the Low Energy Adaptive Clustering Hierarchy (LEACH) algorithm, the Distributed Energy Efficient Clustering (DEEC) algorithm performs better, has less energy consumption, and retains more nodes. The method adopted in this study can make WSN have a longer life cycle and ensure its security.

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Section: Application Of Deec Algorithm In Wsn Hierarchical Processingmentioning

confidence: 99%

Section: Application Of Ipso-svm Algorithm In Wsn Intrusion Detectionmentioning

confidence: 99%

Section: Application Of Ipso-svm Algorithm In Wsn Intrusion Detectionmentioning

confidence: 99%

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Intrusion Detection in Wireless Sensor Networks Based on IPSO-SVM Algorithm

Lv,

Wan

2024

JCSANDM

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“…30, No. 3, June 2023: 1525-1533 1526 necessary to decrease both the storage capacity and the length of the key [3]. The actual world and cognitive systems can communicate thanks to the WSN that connects them.…”

Section: Introductionmentioning

confidence: 99%

A new method based on swarm intelligence with encrypted data in wireless sensor networks

Altmemi

2023

IJEECS

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Wireless sensor networks (WSNs) technology is one of the most essential Internet of things technologies. It is utilized efficiently in a variety of real-world applications, including healthcare, environmental monitoring, tracking, etc. WSNs are composed of sensor nodes with restricted resources. However, the communication between WSN components is not secure. Therefore, it is necessary to build efficient and lightweight cryptographic algorithms to secure shared data. Our paper comprises proposes a secure protocol called grasshopper optimization algorithm routing protocol (GOARP) with a lightweight encryption method in each sensor called rivest cipher 5 (RC5) to enhance network efficiency and simulation in terms of power consumption, required memory space, and computational time. Subsequently, the network lifetime result achieved in the proposed method is about (70%) more than in GOA elliptic curve cryptographic and Diffie Hellman (GOA-ECCDH).

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Industrial Information Security Detection and Protection: Monitoring and Warning Platform Architecture Design and Cryptographic Antitheft Technology System Upgrade

et al. 2022

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Industrial information security is an important part of the national security strategy that affects the economy and people’s lives. With the rapid development of automation and information technology, common protocols and common hardware and software based on information technology are increasingly used in industrial information control system products and are widely used in industries such as energy, metallurgy, water resource management, chemical, and production. Attacks on critical industrial information can not only cause accidents, losses, and local production pollution but also disrupt the balance of supply and demand of raw materials in the area covered by the system. Therefore, it is of great theoretical and practical importance to study industrial information security as an important measure to ensure the stable operation of the system. In this paper, we analyze the main industrial structure characteristics, external environment, and security requirements and propose a monitoring and warning platform architecture with cryptographic antitheft technology system based on hierarchical modeling and closed-loop control. It can prevent the spread of the attack and reduce its negative impact.

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Information security in WSN applied to smart metering networks based on cryptographic techniques

Cited by 4 publications

References 15 publications

Intrusion Detection in Wireless Sensor Networks Based on IPSO-SVM Algorithm

Intrusion Detection in Wireless Sensor Networks Based on IPSO-SVM Algorithm

A new method based on swarm intelligence with encrypted data in wireless sensor networks

Industrial Information Security Detection and Protection: Monitoring and Warning Platform Architecture Design and Cryptographic Antitheft Technology System Upgrade

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