With the rapid development of Cloud-Edge-End(CEE)computing,the demand for secure and lightweight communication protocols is increasingly critical,particularly for latency-sensitive applications such as smart manufactu...With the rapid development of Cloud-Edge-End(CEE)computing,the demand for secure and lightweight communication protocols is increasingly critical,particularly for latency-sensitive applications such as smart manufacturing,healthcare,and real-time monitoring.While traditional cryptographic schemes offer robust protection,they often impose excessive computational and energy overhead,rendering them unsuitable for use in resource-constrained edge and end devices.To address these challenges,in this paper,we propose a novel lightweight encryption framework,namely Dynamic Session Key Allocation with Time-Indexed Ascon(DSKA-TIA).Built upon the NIST-endorsed Ascon algorithm,the DSKA-TIA introduces a time-indexed session key generation mechanism that derives unique,ephemeral keys for each communication round.The scheme supports bidirectional key separation to isolate uplink and downlink data,thereby minimizing the risk of key reuse and compromise.Additionally,mutual authentication is integrated through nonce-based validation and one-time token exchanges,ensuring entity legitimacy and protection against impersonation and replay attacks.We validate the performance of DSKA-TIA through implementation on a resource-constrained microcontroller platform.Results show that our scheme achieves significantly lower latency and computational cost compared to baseline schemes such as AES and standard Ascon.Security analysis demonstrates high entropy in key generation,resistance to brute-force and replay attacks,and robustness against eavesdropping and key compromise.The protocol also exhibits resilience to quantum computing threats by relying on symmetric encryption principles and randomized key selection.Given its efficiency,scalability,and temporal security enhancements,DSKA-TIA is well-suited for real-time,secure communication in heterogeneous CEE environments.Future work will explore post-quantum extensions and deployment in domains such as smart agriculture and edge-based healthcare.展开更多
This paper reviews the application and potential of cloud-edge-end collaborative(CEEC)technology in the field of freshwater aquaculture,a rapidly developing sector driven by the growing global demand for aquatic produ...This paper reviews the application and potential of cloud-edge-end collaborative(CEEC)technology in the field of freshwater aquaculture,a rapidly developing sector driven by the growing global demand for aquatic products.The sustainable development of freshwater aquaculture has become a critical challenge due to issues such as water pollution and inefficient resource utilization in traditional farming methods.In response to these challenges,the integration of smart technologies has emerged as a promising solution to improve both efficiency and sustainability.Cloud computing and edge computing,when combined,form the backbone of CEEC technology,offering an innovative approach that can significantly enhance aquaculture practices.By leveraging the strengths of both technologies,CEEC enables efficient data processing through cloud infrastructure and real-time responsiveness via edge computing,making it a compelling solution for modern aquaculture.This review explores the key applications of CEEC in areas such as environmental monitoring,intelligent feeding systems,health management,and product traceability.The ability of CEEC technology to optimize the aquaculture environment,enhance product quality,and boost overall farming efficiency highlights its potential to become a mainstream solution in the industry.Furthermore,the paper discusses the limitations and challenges that need to be addressed in order to fully realize the potential of CEEC in freshwater aquaculture.In conclusion,this paper provides researchers and practitioners with valuable insights into the current state of CEEC technology in aquaculture,offering suggestions for future development and optimization to further enhance its contributions to the sustainable growth of freshwater aquaculture.展开更多
文摘With the rapid development of Cloud-Edge-End(CEE)computing,the demand for secure and lightweight communication protocols is increasingly critical,particularly for latency-sensitive applications such as smart manufacturing,healthcare,and real-time monitoring.While traditional cryptographic schemes offer robust protection,they often impose excessive computational and energy overhead,rendering them unsuitable for use in resource-constrained edge and end devices.To address these challenges,in this paper,we propose a novel lightweight encryption framework,namely Dynamic Session Key Allocation with Time-Indexed Ascon(DSKA-TIA).Built upon the NIST-endorsed Ascon algorithm,the DSKA-TIA introduces a time-indexed session key generation mechanism that derives unique,ephemeral keys for each communication round.The scheme supports bidirectional key separation to isolate uplink and downlink data,thereby minimizing the risk of key reuse and compromise.Additionally,mutual authentication is integrated through nonce-based validation and one-time token exchanges,ensuring entity legitimacy and protection against impersonation and replay attacks.We validate the performance of DSKA-TIA through implementation on a resource-constrained microcontroller platform.Results show that our scheme achieves significantly lower latency and computational cost compared to baseline schemes such as AES and standard Ascon.Security analysis demonstrates high entropy in key generation,resistance to brute-force and replay attacks,and robustness against eavesdropping and key compromise.The protocol also exhibits resilience to quantum computing threats by relying on symmetric encryption principles and randomized key selection.Given its efficiency,scalability,and temporal security enhancements,DSKA-TIA is well-suited for real-time,secure communication in heterogeneous CEE environments.Future work will explore post-quantum extensions and deployment in domains such as smart agriculture and edge-based healthcare.
基金supported by the Jiangsu Science and Technology Planning Project of China[grant number BE2021362]the Nanjing Modern Agricultural Machinery Equipment and Technology Innovation Demonstration Project of Jiangsu[grant number NJ202305].
文摘This paper reviews the application and potential of cloud-edge-end collaborative(CEEC)technology in the field of freshwater aquaculture,a rapidly developing sector driven by the growing global demand for aquatic products.The sustainable development of freshwater aquaculture has become a critical challenge due to issues such as water pollution and inefficient resource utilization in traditional farming methods.In response to these challenges,the integration of smart technologies has emerged as a promising solution to improve both efficiency and sustainability.Cloud computing and edge computing,when combined,form the backbone of CEEC technology,offering an innovative approach that can significantly enhance aquaculture practices.By leveraging the strengths of both technologies,CEEC enables efficient data processing through cloud infrastructure and real-time responsiveness via edge computing,making it a compelling solution for modern aquaculture.This review explores the key applications of CEEC in areas such as environmental monitoring,intelligent feeding systems,health management,and product traceability.The ability of CEEC technology to optimize the aquaculture environment,enhance product quality,and boost overall farming efficiency highlights its potential to become a mainstream solution in the industry.Furthermore,the paper discusses the limitations and challenges that need to be addressed in order to fully realize the potential of CEEC in freshwater aquaculture.In conclusion,this paper provides researchers and practitioners with valuable insights into the current state of CEEC technology in aquaculture,offering suggestions for future development and optimization to further enhance its contributions to the sustainable growth of freshwater aquaculture.
