Enhancing Cloud Security with a Fuzzy Rule-Based Classifier for Intrusion Detection and Classification-Reference-Cited by-同舟云学术

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Enhancing Cloud Security with a Fuzzy Rule-Based Classifier for Intrusion Detection and Classification

Published:2023-08-03 Issue: Volume: Page:
ISSN:
Container-title:2023 5th International Conference on Inventive Research in Computing Applications (ICIRCA)
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Author:

Vyas Manish¹,Purushothaman ²,Jayareka K.S.³,Babu B. Sankara⁴,Deepthika K.⁵,Srivastava Aviral⁶

Affiliation:

1. Vikrant Institute of Technology and Management,Computer Science,Indore

2. St. Joseph's College of Engineering,Department of Mathematics,Chennai-119

3. Sona College of Technology,Department of Computer Science and Engineering,Salem

4. Gokaraju Rangaraju Institute of Engineering and Technology (Autonomous),Deptartment of CSE,Bachupally,Telangana

5. Dr. N.G.P Institute of Technology,Department of CSE,Coimbatore

6. Amity University Rajasthan,Department of CSE,Jaipur,300202

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10220576/10220579/10220692.pdf?arnumber=10220692

Reference17 articles.

1. A genetic tuning to improve the performance of Fuzzy Rule-Based Classification Systems with Interval-Valued Fuzzy Sets: Degree of ignorance and lateral position

2. A study on the application of instance selection techniques in genetic fuzzy rule-based classification systems: Accuracy-complexity trade-off

3. A hybrid particle swarm optimization and fuzzy rule-based system for breast cancer diagnosis;alikar;Int J Soft Computing,2013

4. A multi-objective evolutionary method for learning granularities based on fuzzy discretization to improve the accuracy-complexity trade-off of fuzzy rule-based classification systems: D-MOFARC algorithm

5. Genetic generation of fuzzy systems with rule extraction using formal concept analysis

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