Integrate the hierarchical cluster elliptic curve key agreement with multiple secure data transfer modes into wireless sensor networks

Lin, Huei-Yung

doi:10.1080/09540091.2021.1990212

Cited by 11 publications

(7 citation statements)

References 29 publications

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“…In addition, the authors did not discuss key-bargaining attacks. Lin [25] introduced a key synchronization protocol to support hierarchy in WSN-IoT by proposing a hierarchy-based cluster elliptic curve key agreement named (HCECKA). They claimed that their protocol provides efficiency and speed in key agreement and data transfer.…”

Section: Keys Exchange Studies Of Related Workmentioning

confidence: 99%

Implication of Lightweight and Robust Hash Function to Support Key Exchange in Health Sensor Networks

Al-Zubaidie

2023

Symmetry

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Internet of Things (IoT) applications are critical for the fast delivery of health information/data in different environments. The wireless sensor network (WSN) can be used within IoT applications to collect this information in the electronic-health sector. However, the essential drawback of WSN and health applications is ensuring that patient and healthcare provider data/information is protected. In addition, exchanging keys and joining the network is the first/most important line of defense to protect health information. Amid all this, the previous search has introduced many key exchange protocols but still suffers from security and performance issues for WSNs and user devices. In this research, we propose a new protocol for exchanging keys and joining the network using security algorithms that are Elliptic-curve Diffie–Hellman (ECDH) and QUARK hash (qh). We focused on applying lightweight and high-security techniques to reduce the burden on WSN resources, by adopting a solid methodological approach to support security first and performance second. The security analysis is simulated with the Scyther tool, and the results indicate that our protocol is able to block key exchange attacks known in the existing research. Furthermore, we carried out a comparison with the results of the recent search in terms of performance, our protocol provides better performance results than the results of the existing search.

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Section: Keys Exchange Studies Of Related Workmentioning

confidence: 99%

Implication of Lightweight and Robust Hash Function to Support Key Exchange in Health Sensor Networks

Al-Zubaidie

2023

Symmetry

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“…Feng et al [30] developed a trustbased altered approach for the authentication process to improve direct and indirect trust coupling. The various comparison of underwater communication systems' security schemes and protection models is shown in Table 1 [13,29].…”

Section: Underwater Networkmentioning

confidence: 99%

“…In the underwater network, this secure technique defends against possible threats. These approaches [6], [9-10][12][14] [15][16][17][18] address some security concerns and counteract some assaults, but our improved scheme validates every security requirement.…”

Section: Analysis and Open Research Concernsmentioning

confidence: 99%

Privacy Prevention and Nodes Optimization, Detection of IoUT based on Artificial Intelligence

Gaur

Prakash

2023

Preprint

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Transportation, temperature control, and the production of pharmaceuticals all rely on 71 percent of the Earth's surface, which is covered by water. Valuable things, including minerals, metals, corals, and coral reefs, can be identified with the help of the IoUT, among other applications. One of the crucial uses is in preventing damage caused by natural disasters. The IoT boosted concepts for a new undersea network (IoUT). Underwater networks have many drawbacks, including a lack of dependability, limited bandwidth, long propagation delays, high processing demands, high energy costs, and node detection with secure communication. Real-time, secure data communication is a significant area of research for us, along with node identification and dynamic network configuration. IoUT faces severe obstacles in the form of these issues. Our strategy involves a dynamic graph for network design, an AFA algorithm based on AI for node recognition, and ECC for a secure communication mechanism. In order to increase discretion and provide the undersea network with adequate robust security.

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“…MANETs are highly susceptible to several safety threats such as open medium, absence of central organization, energetically altering topology, inhibited competence and so forth. Hence group key management is used for secure communication 3‐5 . But, group key management in MANETs is difficult because of the requirement of scalability, safety under the limitations of nodes' obtainable properties and random agility.…”

Section: Introductionmentioning

confidence: 99%

“…Hence group key management is used for secure communication. [3][4][5] But, group key management in MANETs is difficult because of the requirement of scalability, safety under the limitations of nodes' obtainable properties and random agility. The group key management is two types such as key agreement and key distribution.…”

Section: Introductionmentioning

confidence: 99%

Enabling security in MANETs using an efficient cluster based group key management with elliptical curve cryptography in consort with sail fish optimization algorithm

Shanmuganathan

Boopalan²,

Elangovan

et al. 2022

Trans Emerging Tel Tech

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In MANET, group key management is a vital part of multicast security. But distribution of keys in an authenticated manner is a difficult task in group key management. The existing methods provide low security with high processing time during group key management resulting does not provide sufficient results. Therefore, enabling security in MANETs using an efficient cluster based group key management with elliptical curve cryptography in consort with sail fish optimization algorithm is proposed in this article for two‐level security with reduced computational overhead. At first, all the nodes in the cluster are structured in hierarchy method. The key server creates public key utilizing private key of the group node. Here, elliptical curve cryptography based meta‐heuristic sail fish optimization algorithm is used to select the optimal private key for better secure communication. After selecting this optimum private key, the key server creates the public key, and a common group key is created using this generated public keys. If the nodes joint or exit from the subgroup, the reset process is executed in group key management process. Finally, this process reduces the computational overhead of rekeying method. The proposed method is simulated by Python programming and network simulator‐3. The proposed elliptical curve cryptography based sail fish optimization algorithm attains 10.9%, 22.21%, and 11.43% low computational overhead, 19.34%, 13.45%, and 42.13% low latency, 43.45%, 22.21%, and 12.22% high packet delivery rate, 11.23%, 13.41%, and 21.11% high network life time than the existing methods.

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Integrate the hierarchical cluster elliptic curve key agreement with multiple secure data transfer modes into wireless sensor networks

Cited by 11 publications

References 29 publications

Implication of Lightweight and Robust Hash Function to Support Key Exchange in Health Sensor Networks

Implication of Lightweight and Robust Hash Function to Support Key Exchange in Health Sensor Networks

Privacy Prevention and Nodes Optimization, Detection of IoUT based on Artificial Intelligence

Enabling security in MANETs using an efficient cluster based group key management with elliptical curve cryptography in consort with sail fish optimization algorithm

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