SDN Controller Selection and Secure Resource Allocation
Software Defined Networking (SDN) has emerged as a promising paradigm for network management. However, in energy-effective task scheduling and security, the centralized control architecture of SDN brings challenges. This research proposes a new approach for blockchain-based secure resource allocatio...
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| Format: | Article |
| Language: | English |
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IEEE
2025-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/10979339/ |
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| author | Sasibhushana Rao Pappu Kalyana Chakravarthy Chilukuri |
| author_facet | Sasibhushana Rao Pappu Kalyana Chakravarthy Chilukuri |
| author_sort | Sasibhushana Rao Pappu |
| collection | DOAJ |
| description | Software Defined Networking (SDN) has emerged as a promising paradigm for network management. However, in energy-effective task scheduling and security, the centralized control architecture of SDN brings challenges. This research proposes a new approach for blockchain-based secure resource allocation with controller selection in SDN, utilizing the Entropy Oppositional Based Learning-Interpolation Blue Monkey Optimization Algorithm (EOBL-IBMOA). By establishing a blockchain-centric secure resource allocation with controller selection, the proposed technique addresses challenges in SDN. Here, user registration, load balancing, attack detection, controller selection, and resource allocation phases are included. Utilizing XOR Left Shift (XORLS), the user details are secured by IP traceback and hash codes are generated using the Mid Square-based KECCAK 512 (MS-KECCAK 512) algorithm. For effective traffic balancing, the load balancer uses the Minshev-KMeans algorithm. Attack classification is attained through the Quantile Transformer Scaling based SoftmaxGELU Gated Recurrent Units (QTS-SGGRU) approach. EOBL-IBMOA is used by controller selection and resource allocation for optimal Virtual Machine (VM) selection. The proposed technique’s superiority is described by experimental comparisons. The proposed approach attains effective resource allocation with reduced response time and high throughput, outperforming the prevailing works. |
| format | Article |
| id | doaj-art-f3263c8febe4445997886bc98fe07bed |
| institution | OA Journals |
| issn | 2169-3536 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj-art-f3263c8febe4445997886bc98fe07bed2025-08-20T02:14:42ZengIEEEIEEE Access2169-35362025-01-0113772787729010.1109/ACCESS.2025.356511710979339SDN Controller Selection and Secure Resource AllocationSasibhushana Rao Pappu0https://orcid.org/0000-0003-4397-7607Kalyana Chakravarthy Chilukuri1https://orcid.org/0000-0002-8137-7074Department of Computer Science and Engineering, JNTUK, Kakinada, Andhra Pradesh, IndiaDepartment of Computer Science and Engineering, MVGR College of Engineering (Autonomous), Vizianagaram, Andhra Pradesh, IndiaSoftware Defined Networking (SDN) has emerged as a promising paradigm for network management. However, in energy-effective task scheduling and security, the centralized control architecture of SDN brings challenges. This research proposes a new approach for blockchain-based secure resource allocation with controller selection in SDN, utilizing the Entropy Oppositional Based Learning-Interpolation Blue Monkey Optimization Algorithm (EOBL-IBMOA). By establishing a blockchain-centric secure resource allocation with controller selection, the proposed technique addresses challenges in SDN. Here, user registration, load balancing, attack detection, controller selection, and resource allocation phases are included. Utilizing XOR Left Shift (XORLS), the user details are secured by IP traceback and hash codes are generated using the Mid Square-based KECCAK 512 (MS-KECCAK 512) algorithm. For effective traffic balancing, the load balancer uses the Minshev-KMeans algorithm. Attack classification is attained through the Quantile Transformer Scaling based SoftmaxGELU Gated Recurrent Units (QTS-SGGRU) approach. EOBL-IBMOA is used by controller selection and resource allocation for optimal Virtual Machine (VM) selection. The proposed technique’s superiority is described by experimental comparisons. The proposed approach attains effective resource allocation with reduced response time and high throughput, outperforming the prevailing works.https://ieeexplore.ieee.org/document/10979339/Blockchaincontrollerresource allocationsoftware defined networkingvirtual machines |
| spellingShingle | Sasibhushana Rao Pappu Kalyana Chakravarthy Chilukuri SDN Controller Selection and Secure Resource Allocation IEEE Access Blockchain controller resource allocation software defined networking virtual machines |
| title | SDN Controller Selection and Secure Resource Allocation |
| title_full | SDN Controller Selection and Secure Resource Allocation |
| title_fullStr | SDN Controller Selection and Secure Resource Allocation |
| title_full_unstemmed | SDN Controller Selection and Secure Resource Allocation |
| title_short | SDN Controller Selection and Secure Resource Allocation |
| title_sort | sdn controller selection and secure resource allocation |
| topic | Blockchain controller resource allocation software defined networking virtual machines |
| url | https://ieeexplore.ieee.org/document/10979339/ |
| work_keys_str_mv | AT sasibhushanaraopappu sdncontrollerselectionandsecureresourceallocation AT kalyanachakravarthychilukuri sdncontrollerselectionandsecureresourceallocation |