Big data security access control algorithm based on memory index acceleration in WSNs

Peng, Jianhua; Zhou, Hui; Meng, Qingjie; Yang, Jing

doi:10.1186/s13638-020-01725-1

Cited by 5 publications

(2 citation statements)

References 34 publications

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“…Any destruction and interference to nodes will have a certain impact on the information obtained in the real world. It is due to the above reasons that WSNs security objectives should have the following standards [5][6][7][8], which is shown in Figure 1.…”

Section: Security Standards and Challengesmentioning

confidence: 99%

Review on Security Issues and Applications of Trust Mechanism in Wireless Sensor Networks

Xia

Wei

Zhang

2022

Computational Intelligence and Neuroscience

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The scale of wireless sensor networks changes depending on specific application tasks. How to design a relatively simple security mechanism that can extend with the expansion of network scale is an arduous task. As the wireless sensor network mostly adopts the decentralized organization form, once the network nodes are distributed adequately, it is difficult to find out the failure of any node. In addition, the node has weak resistance to physical damage, so any node in the network may potentially become a cause of security vulnerability. In this study, firstly, the security standards that wireless sensor networks should have and the current security challenges faced by the network are discussed in detail, and the importance of security issues in wireless sensor networks is pointed out. Secondly, this paper studies and analyzes the current situation of wireless sensor network security problems including the internal and external attacks and the active and passive attacks. Thirdly, this paper also discusses the significance, concept, and characteristics of reputation and trust, the division and composition of reputation and trust system, and the common applications of the reputation and trust mechanism in wireless sensor networks.

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Section: Security Standards and Challengesmentioning

confidence: 99%

Review on Security Issues and Applications of Trust Mechanism in Wireless Sensor Networks

Xia

Wei

Zhang

2022

Computational Intelligence and Neuroscience

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“…The data processing flow of the access control approach in bigdata systems examined the time complexity and affected the system performance. The big data security access control algorithm was introduced in [6] and depends on memory index acceleration. Though the time complexity was reduced, the security level was not improved by the big data security access control algorithm.…”

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confidence: 99%

Jaccard Index Cat Gradient Boosting Classification for Secured Big Data Communication

Swapna

Saravanan

2022

ASEJAR

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Big data is observed as a novel field dealing with datasets that are too complex in providing indispensable services for daily chores and also discovering hidden patterns. Network security has become a major issue due to big data analytics, which offers unlimited research potential. More specifically, secure data communication without a third party is a major concern. Also, as large, heterogeneous, and complex data sets emerge, existing security mechanisms cannot provide or address network threats quickly or accurately. Therefore, along with the decrease in time, accuracy and error rate are other research concerns. Accordingly, an accurate and timely big data-based secure method called Jaccard Index Cat Gradient Boosting Classification-based Secured Data Communication (JICGBC-SDC) using the Internet of Things is presented. Firstly, for each cloud user, user registration is performed by acquiring information from various sensors. Second, information is collected from the registered cloud users by means of the Jaccard Index Cat Gradient Boosting Classifier algorithm. Such a proposed algorithm imposes a lower error rate and minimizes classification time, ensuring the most reliable and secured data communication between cloud users. To ensure secure data communication, weak learners' results are combined to form a strong classifier. The proposed method is implemented in Java and tested on the CloudSim simulator for classification accuracy, classification time, and error rate. The experimental results reveal the JICGBC-SDC method increases the performance of secured data communication for error rate by 77%, classification time by 79% and classification accuracy by 25% as compared to the state-of-the-art work.

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LSPP: a leakage-resilient security approach for a cloud-assisted big data

Bouleghlimat,

Boudouda,

Hacini

2024

J Supercomput

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Big data security access control algorithm based on memory index acceleration in WSNs

Cited by 5 publications

References 34 publications

Review on Security Issues and Applications of Trust Mechanism in Wireless Sensor Networks

Review on Security Issues and Applications of Trust Mechanism in Wireless Sensor Networks

Jaccard Index Cat Gradient Boosting Classification for Secured Big Data Communication

LSPP: a leakage-resilient security approach for a cloud-assisted big data

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