Mimic active defense technology effectively disrupts attack routes and reduces the probability of successful attacks by using a dynamic heterogeneous redundancy(DHR)architecture.However,current approaches often overlo...Mimic active defense technology effectively disrupts attack routes and reduces the probability of successful attacks by using a dynamic heterogeneous redundancy(DHR)architecture.However,current approaches often overlook the adaptability of the adjudication mechanism in complex and variable network environments,focusing primarily on system security while neglecting performance considerations.To address these limitations,we propose an output difference feedback and system benefit control based DHR architecture.This architecture introduces an adjudication mechanism based on output difference feedback,which enhances adaptability by considering the impact of each executor's output deviation on the global decision.Additionally,the architecture incorporates a scheduling strategy based on system benefit,which models the quality of service and switching overhead as a bi-objective optimization problem,balancing security with reduced computational costs and system overhead.Simulation results demonstrate that our architecture improves adaptability towards different network environments and effectively reduces both the attack success rate and average failure rate.展开更多
By differentiating four different types of output, the paperargues that their roles are also different. And learners of differ-ent language proficiency levels should be guided to produce dif-ferent types of output. Th...By differentiating four different types of output, the paperargues that their roles are also different. And learners of differ-ent language proficiency levels should be guided to produce dif-ferent types of output. Thus the paper introduces a new concept,namely "optimal output". Blindly making the learner produceoutput which is far beyond his current English level will only doharm to his interlanguage development, making it fossilize at anearly stage.展开更多
基金supported by the National Key R&D Program of China(Nos.2023YFB2904004 and 2023YFB2904000)the JiangsuKey Development Planning Project(No.BE2023004-2)+1 种基金the Natural Science Foundation of Jiangsu Province(Higher Education Institutions)(No.20KJA520001)the Postgraduate Research Practice Innovation Program of Jiangsu Province(No.KYCX22_1021)。
文摘Mimic active defense technology effectively disrupts attack routes and reduces the probability of successful attacks by using a dynamic heterogeneous redundancy(DHR)architecture.However,current approaches often overlook the adaptability of the adjudication mechanism in complex and variable network environments,focusing primarily on system security while neglecting performance considerations.To address these limitations,we propose an output difference feedback and system benefit control based DHR architecture.This architecture introduces an adjudication mechanism based on output difference feedback,which enhances adaptability by considering the impact of each executor's output deviation on the global decision.Additionally,the architecture incorporates a scheduling strategy based on system benefit,which models the quality of service and switching overhead as a bi-objective optimization problem,balancing security with reduced computational costs and system overhead.Simulation results demonstrate that our architecture improves adaptability towards different network environments and effectively reduces both the attack success rate and average failure rate.
文摘By differentiating four different types of output, the paperargues that their roles are also different. And learners of differ-ent language proficiency levels should be guided to produce dif-ferent types of output. Thus the paper introduces a new concept,namely "optimal output". Blindly making the learner produceoutput which is far beyond his current English level will only doharm to his interlanguage development, making it fossilize at anearly stage.
