公开(公告)号：US11503057B2

公开(公告)日：2022-11-15

申请号：US17506607

申请日：2021-10-20

Applicant: Nanjing University of Science and Technology

Inventor： Yong Qi ,  Jianye Yu

IPC: H04L9/40 ,  G06N3/08 ,  H04L67/12

Abstract: An intrusion detection method and system for Internet of Vehicles based on Spark and combined deep learning are provided. The method includes the following steps: S1: setting up Spark distributed cluster; S2: initializing the Spark distributed cluster, constructing a convolutional neural network (CNN) and long short-term memory (LSTM) combined deep learning algorithm model, initializing parameters, and uploading collected data to a Hadoop distributed file system (HDFS); S3: reading the data from the HDFS for processing, and inputting the data to the CNN-LSTM combined deep learning algorithm model, for recognizing the data; and S4: dividing the data into multiple resilient distributed datasets (RDDs) for batch training with a preset number of iterations.