成都大学学报（自然科学版）2026，Vol.45Issue(1)：39-44,6.DOI:10.3969/j.issn.1004-5422.2026.01.006
异步拒绝服务攻击下神经网络的安全同步控制
Secure Synchronization Control of Neural Networks Under Asynchronous DoS Attacks
摘要
Abstract
This paper considers a class of synchronization systems about neural networks and proposes a dual dynamic event-triggered mechanism strategy when different channels are subjected to denial of serv-ice(DoS)attacks.First,the article considers the case where the sensor to controller and controller to ac-tuator are subjected to different DoS attacks and model these attacks as two independent Markov jump processes.Second,in order to cope with data transmission congestion,the article introduces two event-trig-gered mechanisms to improve the transmission efficiency.Then,to meet the synchronization requirements,the article proposes a corresponding controller design.Finally,by using the analytical method of linear ma-trix inequalities,the feasibility of the proposed theory is verified,and the superiority of the method is veri-fied through experimental results.关键词
神经网络/Markov跳变过程/异步DoS攻击/动态事件触发机制/同步控制Key words
neural networks/Markov jump processes/asynchronous DoS attacks/dynamic event-triggered mechanism/synchronization control分类
信息技术与安全科学引用本文复制引用
杨邹,施开波,王俊,朱文卿..异步拒绝服务攻击下神经网络的安全同步控制[J].成都大学学报（自然科学版）,2026,45(1):39-44,6.基金项目
国家自然科学基金项目(61703060、12061088) （61703060、12061088）
四川省科技厅重点研发计划项目(2023YFG0287) （2023YFG0287）
四川省自然科学青年基金项目(24NSFSC7038) （24NSFSC7038）
