Multipath Routing in Cloud Computing using Fuzzy based Multi-Objective Optimization System in Autonomous Networks Article Swipe
YOU?
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· 2022
· Open Access
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· DOI: https://doi.org/10.17762/ijfrcsce.v8i3.2093
Intelligent houses and buildings, autonomous automobiles, drones, robots, and other items that are successfully incorporated into daily life are examples of autonomous systems and the Internet of Things (IoT) that have advanced as research areas. Secured data transfer in untrusted cloud applications has been one of the most significant requirements in the cloud in recent times. In order to safeguard user data from unauthorised users, encrypted data is stored on cloud servers. Existing techniques offer either security or efficiency for data transformation. They fail to retain complete security while undergoing significant changes. This research proposes novel technique in multipath routing based energy optimization of autonomous networks. The main goal of this research is to enhance the secure data transmission in cloud computing with network energy optimization. The secure data transmission is carried out using multi-authentication attribute based encryption with multipath routing protocol. Then the network energy has been optimized using multi-objective fuzzy based reinforcement learning. The experimental analysis has been carried out based on secure data transmission and energy optimization of the network. The parameters analysed in terms of scalability of 79%, QoS of 75%, encryption time of 42%, latency of 96%, energy efficiency of 98%, end-end delay of 45%.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.17762/ijfrcsce.v8i3.2093
- https://www.ijfrcsce.org/index.php/ijfrcsce/article/download/2093/2074
- OA Status
- diamond
- Cited By
- 1
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4308325213
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4308325213Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.17762/ijfrcsce.v8i3.2093Digital Object Identifier
- Title
-
Multipath Routing in Cloud Computing using Fuzzy based Multi-Objective Optimization System in Autonomous NetworksWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2022Year of publication
- Publication date
-
2022-09-15Full publication date if available
- Authors
-
Gaurav Pathak, Mohit AnguralaList of authors in order
- Landing page
-
https://doi.org/10.17762/ijfrcsce.v8i3.2093Publisher landing page
- PDF URL
-
https://www.ijfrcsce.org/index.php/ijfrcsce/article/download/2093/2074Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
diamondOpen access status per OpenAlex
- OA URL
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https://www.ijfrcsce.org/index.php/ijfrcsce/article/download/2093/2074Direct OA link when available
- Concepts
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Computer science, Cloud computing, Computer network, Encryption, Data transmission, Multipath routing, Efficient energy use, Server, Distributed computing, Routing protocol, Routing (electronic design automation), Link-state routing protocol, Engineering, Operating system, Electrical engineeringTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
1Total citation count in OpenAlex
- Citations by year (recent)
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2022: 1Per-year citation counts (last 5 years)
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.efficiency | 78, 193 |
| abstract_inverted_index.encryption | 137, 185 |
| abstract_inverted_index.parameters | 174 |
| abstract_inverted_index.techniques | 73 |
| abstract_inverted_index.undergoing | 89 |
| abstract_inverted_index.Intelligent | 0 |
| abstract_inverted_index.scalability | 179 |
| abstract_inverted_index.significant | 48, 90 |
| abstract_inverted_index.applications | 41 |
| abstract_inverted_index.automobiles, | 5 |
| abstract_inverted_index.experimental | 156 |
| abstract_inverted_index.incorporated | 14 |
| abstract_inverted_index.optimization | 102, 169 |
| abstract_inverted_index.requirements | 49 |
| abstract_inverted_index.successfully | 13 |
| abstract_inverted_index.transmission | 118, 129, 166 |
| abstract_inverted_index.unauthorised | 63 |
| abstract_inverted_index.optimization. | 125 |
| abstract_inverted_index.reinforcement | 153 |
| abstract_inverted_index.multi-objective | 150 |
| abstract_inverted_index.transformation. | 81 |
| abstract_inverted_index.multi-authentication | 134 |
| cited_by_percentile_year.max | 94 |
| cited_by_percentile_year.min | 89 |
| countries_distinct_count | 2 |
| institutions_distinct_count | 2 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/7 |
| sustainable_development_goals[0].score | 0.8799999952316284 |
| sustainable_development_goals[0].display_name | Affordable and clean energy |
| citation_normalized_percentile.value | 0.50156253 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |