标题：DATA INFORMATION SECURITY OF COMMUNICATION NETWORK BASED ON EDGE COMPUTING TECHNOLOGY AND BP NEURAL NETWORK

作者：X.L. Liu

网址:https://www.dl.begellhouse.com/journals/0632a9d54950b268,55c1ca0a73cc00be,504cf7516b0cb981.html

求助者：众生畏果

• 求助时间：2021/11/26 9:30:04
• 求助状态：AB图书馆客服已找到全文，详情咨询在线客服qq 1257749646
• 文献摘要：

Edge computing technology can effectively reduce the pressure of the cloud center and improve the efficiency of data processing, and its data security issues have attracted wide attention. This study focuses on the detection of cloning attacks in edge computing. First, the clone nodes were identified by channel authentication, then the training set was established to train Back Propagation Neural Network (BPNN), and finally unknown nodes were detected by the trained model. The experiment showed that the method achieved the highest recognition accuracy when the number of neurons was 3, and the accuracy of detecting the testing test set was 89.6%. Compared with Efficient Distributed Detection (EDD) algorithm, the method had higher average accuracy, 87.77%, and lower energy consumption, 44 J, which suggests the method, was reliable. This research provides a new method for cloning attack detection, which is conducive to improving the security of edge computing and promoting the higher and faster development of edge computing.

文献《DATA INFORMATION SECURITY OF COMMUNICATION NETWORK BASED ON EDGE COMPUTING TECHNOLOGY AND BP NEURAL NETWORK》已经找到全文，详情请咨询在线客服 qq 1257749646。
如果您还有其他需要寻找全文的文献，请点击文献求助提交

说明：文献求助是指AB图书馆根据读者的需求，为读者查找论文资料的服务。如果您搜索到相关资料，但不能获取全文，此时便可将有关信息提交求助，由值班客服为您寻找所需文献的全文。提供的文献均来自网络共享资源，不涉及版权交易；如侵犯了您的权利，请告知在线客服，立马删除。文件格式以PDF格式为主。