Data augmentation is an important task of using existing data to expand data sets.Using generative countermeasure network technology to realize data augmentation has the advantages of high-quality generated samples,si...Data augmentation is an important task of using existing data to expand data sets.Using generative countermeasure network technology to realize data augmentation has the advantages of high-quality generated samples,simple training,and fewer restrictions on the number of generated samples.However,in the field of transmission line insulator images,the freely synthesized samples are prone to produce fuzzy backgrounds and disordered samples of the main insulator features.To solve the above problems,this paper uses the cycle generative adversarial network(Cycle-GAN)used for domain conversion in the generation countermeasure network as the initial framework and uses the self-attention mechanism and channel attention mechanism to assist the conversion to realize the mutual conversion of different insulator samples.The attention module with prior knowledge is used to build the generation countermeasure network,and the generative adversarial network(GAN)model with local controllable generation is built to realize the directional generation of insulator belt defect samples.The experimental results show that the samples obtained by this method are improved in a number of quality indicators,and the quality effect of the samples obtained is excellent,which has a reference value for the data expansion of insulator images.展开更多
Traditional honeypot is in fact a "passive proactive" defense mechanism because it may lose the value entirely once the adversary has detected the existence of the static trap and bypassed it.Our work focuse...Traditional honeypot is in fact a "passive proactive" defense mechanism because it may lose the value entirely once the adversary has detected the existence of the static trap and bypassed it.Our work focuses on a Self-Election dynamic honeypot framework which aims to bewilder attackers by coordinating and switching roles periodically to form a huge dynamic puzzle.In this paper,we discuss the UDP Spokesman synchronization scheme and the Self-Election coordination method,perform the framework simulation of the dynamic array honeypot with NS2,carry out the prototype implementation by Java,and then validate the effectiveness and feasibility on the simulation and prototype system.The promising results of applying this framework to mitigate the effects of attacks are shown and analyzed.Our work demonstrates that the Self-Election dynamic array honeypot system is feasible and effective for proactive network confrontation.展开更多
基金supported in part by the National Natural Science Foundation of China under Grant No.61973055Fundamental Research Funds for the Central Universities under Grant No.ZYGX2020J011Regional Innovation Cooperation Funds of Sichuan under Grant No.2024YFHZ0089.
文摘Data augmentation is an important task of using existing data to expand data sets.Using generative countermeasure network technology to realize data augmentation has the advantages of high-quality generated samples,simple training,and fewer restrictions on the number of generated samples.However,in the field of transmission line insulator images,the freely synthesized samples are prone to produce fuzzy backgrounds and disordered samples of the main insulator features.To solve the above problems,this paper uses the cycle generative adversarial network(Cycle-GAN)used for domain conversion in the generation countermeasure network as the initial framework and uses the self-attention mechanism and channel attention mechanism to assist the conversion to realize the mutual conversion of different insulator samples.The attention module with prior knowledge is used to build the generation countermeasure network,and the generative adversarial network(GAN)model with local controllable generation is built to realize the directional generation of insulator belt defect samples.The experimental results show that the samples obtained by this method are improved in a number of quality indicators,and the quality effect of the samples obtained is excellent,which has a reference value for the data expansion of insulator images.
基金National Natural Science Foundation of China under Grant No.60973141the Foundation of Excellent Young Scientist of Shandong Province under Grant No. BS2009DX019the Fundamental Research Funds for the Central Universities under Grant No. 27R0907018A
文摘Traditional honeypot is in fact a "passive proactive" defense mechanism because it may lose the value entirely once the adversary has detected the existence of the static trap and bypassed it.Our work focuses on a Self-Election dynamic honeypot framework which aims to bewilder attackers by coordinating and switching roles periodically to form a huge dynamic puzzle.In this paper,we discuss the UDP Spokesman synchronization scheme and the Self-Election coordination method,perform the framework simulation of the dynamic array honeypot with NS2,carry out the prototype implementation by Java,and then validate the effectiveness and feasibility on the simulation and prototype system.The promising results of applying this framework to mitigate the effects of attacks are shown and analyzed.Our work demonstrates that the Self-Election dynamic array honeypot system is feasible and effective for proactive network confrontation.
