Takagi-Sugeno-Kang fuzzy system fusion: A survey at hierarchical, wide and stacked levels

Y Zhang, G Wang, T Zhou, X Huang, S Lam, J Sheng… - Information fusion, 2024 - Elsevier
With excellent global approximation performance and interpretability, Takagi-Sugeno-Kang
(TSK) fuzzy systems have enjoyed a wide range of applications in various fields, such as …

FCM–SVM based intrusion detection system for cloud computing environment

AN Jaber, SU Rehman - Cluster Computing, 2020 - Springer
Cloud computing offer various services over the Internet based on pay-per-use concept.
Therefore, many organizations have already adopted this system to attract the users with its …

[PDF][PDF] A novel intrusion detection system using hybrid clustering-optimization approach in cloud computing

JK Samriya, N Kumar - Materials Today: Proceedings, 2020 - researchgate.net
abstract In this study, a new hybridization approach for the intrusion detection system is
proposed to improve the overall security of cloud based computing environment. In addition …

Openness and security in cloud computing services: assessment methods and investment strategies analysis

J Xu, C Liang, HK Jain, D Gu - IEEE Access, 2019 - ieeexplore.ieee.org
Cloud computing companies need to achieve a balance between service openness and
security control to promote the growth of the cloud service business. This paper is a …

An efficient fuzzy self-classifying clustering based framework for cloud security

S Raja, M Jaiganesh, S Ramaiah - International Journal of Computational …, 2017 - Springer
Though cloud computing has become an attractive technology due to its openness and
services, it brings several security hazards towards cloud storage. Since the distributed …

[PDF][PDF] FBMT: fuzzy based merkle technique for detecting and mitigating malicious nodes in sensor networks.

RK Sundararajan, U Arumugam - Int. Arab J. Inf. Technol., 2019 - iajit.org
Wireless sensor networks are prone to many vulnerabilities because of its unattended
environment policy. Intrusion is one of the serious issue in wireless networks, since wireless …

Improved Nefclass For Datasets With Skewed Feature Values

J Yousefi - 2018 - atrium.lib.uoguelph.ca
Most machine learning algorithms perform poorly on datasets with skewed feature values
distribution. Skewed feature values are commonly observed in biological and medical …