A New Mechanism for Data Visualization with Tsk-Type Preprocessed Collaborative Fuzzy Rule Based System

Prasad, Mukesh; Liu, Yuting; Li, Donglin; Lin, Chin-Teng; Shah, Rajiv Ratn; Kaiwartya, Om Prakash

doi:10.1515/jaiscr-2017-0003

Cited by 43 publications

(15 citation statements)

References 23 publications

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“…Finally, in comparison with the state-of-the-art techniques, the LPQS scheme is more efficient and secure. In the future, we will extend our scheme to investigate how to represent the elliptic curves efficiently and use the three-party id-based signature scheme based on the supersingular isogeny curve for future networks such data or content focused networking [ 44 ] and vehicular communication [ 45 ].…”

Section: Discussionmentioning

confidence: 99%

Towards Green Computing Oriented Security: A Lightweight Postquantum Signature for IoE

Rani

Kumar

Kaiwartya

et al. 2021

Sensors

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Postquantum cryptography for elevating security against attacks by quantum computers in the Internet of Everything (IoE) is still in its infancy. Most postquantum based cryptosystems have longer keys and signature sizes and require more computations that span several orders of magnitude in energy consumption and computation time, hence the sizes of the keys and signature are considered as another aspect of security by green design. To address these issues, the security solutions should migrate to the advanced and potent methods for protection against quantum attacks and offer energy efficient and faster cryptocomputations. In this context, a novel security framework Lightweight Postquantum ID-based Signature (LPQS) for secure communication in the IoE environment is presented. The proposed LPQS framework incorporates a supersingular isogeny curve to present a digital signature with small key sizes which is quantum-resistant. To reduce the size of the keys, compressed curves are used and the validation of the signature depends on the commutative property of the curves. The unforgeability of LPQS under an adaptively chosen message attack is proved. Security analysis and the experimental validation of LPQS are performed under a realistic software simulation environment to assess its lightweight performance considering embedded nodes. It is evident that the size of keys and the signature of LPQS is smaller than that of existing signature-based postquantum security techniques for IoE. It is robust in the postquantum environment and efficient in terms of energy and computations.

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Section: Discussionmentioning

confidence: 99%

Towards Green Computing Oriented Security: A Lightweight Postquantum Signature for IoE

Rani

Kumar

Kaiwartya

et al. 2021

Sensors

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“…There are various methods of improving the performance of fuzzy systems, from introducing weights of the fuzzy rules (see, e.g., Ishibuchi and Nakashima, 2001), through reducing the number of the fuzzy rules (see, e.g., Cpalka, 2017), to optimizing a fuzzy system, usually by modifying fuzzy set parameters (see, e.g., Jin, 2000) or rule consolidation (see, e.g., Riid and Preden, 2017) and using the collaborative fuzzy clustering (see, e.g., Prasad et al, 2017).…”

Section: Idea Of the Proposed Methodmentioning

confidence: 99%

On Explainable Fuzzy Recommenders and their Performance Evaluation

Rutkowski¹,

Łapa

Nielek

2019

International Journal of Applied Mathematics and Computer Science

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This paper presents a novel approach to the design of explainable recommender systems. It is based on the Wang–Mendel algorithm of fuzzy rule generation. A method for the learning and reduction of the fuzzy recommender is proposed along with feature encoding. Three criteria, including the Akaike information criterion, are used for evaluating an optimal balance between recommender accuracy and interpretability. Simulation results verify the effectiveness of the presented recommender system and illustrate its performance on the MovieLens 10M dataset.

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“…Naturally, approaches which work with monetary incentives would require careful long-term planning in order to make sure that their effects are long-lived. The advancements in IoT and body area networking [ 58 ] are potential for data privacy [ 59 ] oriented smart tracing and tracking devices.…”

Section: Protecting the Vulnerable Peoplementioning

confidence: 99%

A COVID-19-Based Modified Epidemiological Model and Technological Approaches to Help Vulnerable Individuals Emerge from the Lockdown in the UK

Anderez

Kanjo

Pogrebna

et al. 2020

Sensors

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COVID-19 has shown a relatively low case fatality rate in young healthy individuals, with the majority of this group being asymptomatic or having mild symptoms. However, the severity of the disease among the elderly as well as in individuals with underlying health conditions has caused significant mortality rates worldwide. Understanding this variance amongst different sectors of society and modelling this will enable the different levels of risk to be determined to enable strategies to be applied to different groups. Long-established compartmental epidemiological models like SIR and SEIR do not account for the variability encountered in the severity of the SARS-CoV-2 disease across different population groups. The objective of this study is to investigate how a reduction in the exposure of vulnerable individuals to COVID-19 can minimise the number of deaths caused by the disease, using the UK as a case study. To overcome the limitation of long-established compartmental epidemiological models, it is proposed that a modified model, namely SEIR-v, through which the population is separated into two groups regarding their vulnerability to SARS-CoV-2 is applied. This enables the analysis of the spread of the epidemic when different contention measures are applied to different groups in society regarding their vulnerability to the disease. A Monte Carlo simulation (100,000 runs) along the proposed SEIR-v model is used to study the number of deaths which could be avoided as a function of the decrease in the exposure of vulnerable individuals to the disease. The results indicate a large number of deaths could be avoided by a slight realistic decrease in the exposure of vulnerable groups to the disease. The mean values across the simulations indicate 3681 and 7460 lives could be saved when such exposure is reduced by 10% and 20% respectively. From the encouraging results of the modelling a number of mechanisms are proposed to limit the exposure of vulnerable individuals to the disease. One option could be the provision of a wristband to vulnerable people and those without a smartphone and contact-tracing app, filling the gap created by systems relying on smartphone apps only. By combining very dense contact tracing data from smartphone apps and wristband signals with information about infection status and symptoms, vulnerable people can be protected and kept safer.

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A New Mechanism for Data Visualization with Tsk-Type Preprocessed Collaborative Fuzzy Rule Based System

Cited by 43 publications

References 23 publications

Towards Green Computing Oriented Security: A Lightweight Postquantum Signature for IoE

Towards Green Computing Oriented Security: A Lightweight Postquantum Signature for IoE

On Explainable Fuzzy Recommenders and their Performance Evaluation

A COVID-19-Based Modified Epidemiological Model and Technological Approaches to Help Vulnerable Individuals Emerge from the Lockdown in the UK

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