Blockchain and RL-Based Secured Task Offloading Framework for Software-Defined 5G Edge Networks
5G (Fifth Generation) technology represents a significant advancement in telecommunications, facilitating industry innovation and advancement for applications across various sectors. It enhances high-speed, low-latency communication, making it ideal for task offloading in resource-constrained mobile...
Saved in:
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
|
| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10938599/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1849736287687278592 |
|---|---|
| author | N. Sethu Subramanian Prabhakar Krishnan Kurunandan Jain K. B. Aneesh Kumar Tulika Pandey Rajkumar Buyya |
| author_facet | N. Sethu Subramanian Prabhakar Krishnan Kurunandan Jain K. B. Aneesh Kumar Tulika Pandey Rajkumar Buyya |
| author_sort | N. Sethu Subramanian |
| collection | DOAJ |
| description | 5G (Fifth Generation) technology represents a significant advancement in telecommunications, facilitating industry innovation and advancement for applications across various sectors. It enhances high-speed, low-latency communication, making it ideal for task offloading in resource-constrained mobile devices. By leveraging task offloading, 5G networks maximize the efficiency of both computational and network resources, ensuring faster, more reliable data delivery and enabling high-performance requirements of modern applications. However, dynamic and secure task offloading remains a challenge due to fluctuating network conditions and trust concerns. This paper proposes SAGE (Secured Adaptive Generalized Edge), a reinforcement learning-based task offloading framework that leverages contextual bandits for adaptive decision-making in Multi-Access Edge Computing (MEC) environments. By integrating blockchain smart contracts for security and SDN-based orchestration for dynamic resource management, SAGE ensures robust, low-latency offloading. Experimental evaluations demonstrate that SAGE reduces task offloading delays by 36% and task durations by 30% compared to baseline methods under varying load and energy constraints. |
| format | Article |
| id | doaj-art-01f96dd1b4fe4bd6ba6881287a58248c |
| institution | DOAJ |
| issn | 2169-3536 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj-art-01f96dd1b4fe4bd6ba6881287a58248c2025-08-20T03:07:20ZengIEEEIEEE Access2169-35362025-01-0113568205684210.1109/ACCESS.2025.355463810938599Blockchain and RL-Based Secured Task Offloading Framework for Software-Defined 5G Edge NetworksN. Sethu Subramanian0https://orcid.org/0009-0007-3936-357XPrabhakar Krishnan1https://orcid.org/0000-0001-6702-112XKurunandan Jain2https://orcid.org/0000-0003-2038-1114K. B. Aneesh Kumar3https://orcid.org/0009-0003-2570-7520Tulika Pandey4Rajkumar Buyya5https://orcid.org/0000-0001-9754-6496Center for Cybersecurity Systems and Networks, Amrita Vishwa Vidyapeetham, Amritapuri Campus, Kollam, IndiaCenter for Cybersecurity Systems and Networks, Amrita Vishwa Vidyapeetham, Amritapuri Campus, Kollam, IndiaCenter for Cybersecurity Systems and Networks, Amrita Vishwa Vidyapeetham, Amritapuri Campus, Kollam, IndiaCyber Security Group, Center for Development of Advanced Computing (CDAC), Thiruvananthapuram, Kerala, IndiaResearch and Development in Cybersecurity Group, Ministry of Electronics and Information Technology (MeitY), Government of India, New Delhi, IndiaCloud Computing and Distributed Systems Laboratory, School of Computing and Information Systems, The University of Melbourne, Melbourne, VIC, Australia5G (Fifth Generation) technology represents a significant advancement in telecommunications, facilitating industry innovation and advancement for applications across various sectors. It enhances high-speed, low-latency communication, making it ideal for task offloading in resource-constrained mobile devices. By leveraging task offloading, 5G networks maximize the efficiency of both computational and network resources, ensuring faster, more reliable data delivery and enabling high-performance requirements of modern applications. However, dynamic and secure task offloading remains a challenge due to fluctuating network conditions and trust concerns. This paper proposes SAGE (Secured Adaptive Generalized Edge), a reinforcement learning-based task offloading framework that leverages contextual bandits for adaptive decision-making in Multi-Access Edge Computing (MEC) environments. By integrating blockchain smart contracts for security and SDN-based orchestration for dynamic resource management, SAGE ensures robust, low-latency offloading. Experimental evaluations demonstrate that SAGE reduces task offloading delays by 36% and task durations by 30% compared to baseline methods under varying load and energy constraints.https://ieeexplore.ieee.org/document/10938599/5G mobilesoftware-defined-networking (SDN)mobile edge-computing (MEC)blockchain-assisted offloadingfog/edge computingsecurity |
| spellingShingle | N. Sethu Subramanian Prabhakar Krishnan Kurunandan Jain K. B. Aneesh Kumar Tulika Pandey Rajkumar Buyya Blockchain and RL-Based Secured Task Offloading Framework for Software-Defined 5G Edge Networks IEEE Access 5G mobile software-defined-networking (SDN) mobile edge-computing (MEC) blockchain-assisted offloading fog/edge computing security |
| title | Blockchain and RL-Based Secured Task Offloading Framework for Software-Defined 5G Edge Networks |
| title_full | Blockchain and RL-Based Secured Task Offloading Framework for Software-Defined 5G Edge Networks |
| title_fullStr | Blockchain and RL-Based Secured Task Offloading Framework for Software-Defined 5G Edge Networks |
| title_full_unstemmed | Blockchain and RL-Based Secured Task Offloading Framework for Software-Defined 5G Edge Networks |
| title_short | Blockchain and RL-Based Secured Task Offloading Framework for Software-Defined 5G Edge Networks |
| title_sort | blockchain and rl based secured task offloading framework for software defined 5g edge networks |
| topic | 5G mobile software-defined-networking (SDN) mobile edge-computing (MEC) blockchain-assisted offloading fog/edge computing security |
| url | https://ieeexplore.ieee.org/document/10938599/ |
| work_keys_str_mv | AT nsethusubramanian blockchainandrlbasedsecuredtaskoffloadingframeworkforsoftwaredefined5gedgenetworks AT prabhakarkrishnan blockchainandrlbasedsecuredtaskoffloadingframeworkforsoftwaredefined5gedgenetworks AT kurunandanjain blockchainandrlbasedsecuredtaskoffloadingframeworkforsoftwaredefined5gedgenetworks AT kbaneeshkumar blockchainandrlbasedsecuredtaskoffloadingframeworkforsoftwaredefined5gedgenetworks AT tulikapandey blockchainandrlbasedsecuredtaskoffloadingframeworkforsoftwaredefined5gedgenetworks AT rajkumarbuyya blockchainandrlbasedsecuredtaskoffloadingframeworkforsoftwaredefined5gedgenetworks |