The security of data throughout its entire life cycle has become the most urgent and fundamental security issue in the digital economy era. With the continuous expansion and deepening of vehicle-infrastructure-cloud integration (VICI), data among the vehicle, infrastructure, and cloud are interconnected, leading to a constant extension in the scope of automotive data. Focusing solely on vehicle-end data is no longer sufficient to meet the developmental needs of intelligent connected vehicles. Considering data security from the perspective of VICI holds significant importance for ensuring the safety of the entire life cycle of intelligent connected vehicle data. In this context, this paper focuses on data security for VICI, analyzes the scope and characteristics of the data, explores the key challenges, and elaborates on the application of data security technology for VICI. Building upon this, the paper proposes DSA-VICI and conducts an analysis of the development trends in data security for VICI.

This paper mines user behavior characteristics based on big data technology. This paper proposes a method for behavior slicing based on historical activity data, and insights into the personalized behavior characteristics. Firstly, the data is processed, and the classification is expanded on the basis of the parsed APP label types. Secondly, a time slicing method is proposed to reduce information loss, which integrates time, location, business type, and behavior into individual users. Then, based on slices of a day and a week, the paper analyzes user behavior and construct a portrait of user’s interest and preference. Finally, the periodic factor method is utilized to predict the behavior changes, forming the feature labels for users. Based on real business behaviors, this paper provides insight into user personality and effectively improves the authenticity and accuracy of prediction.

C-V2X, as an end-to-end wireless communication network for intelligent transportation system, may lead to degradation of its communication quality in the case of high vehicle density, and the large-scale field test provides a test environment for its possible situation. whether the communication performance of C-V2X system in the large-scale field test can meet the technical requirements is the premise of whether C-V2X system can be applied and promoted in China. At this stage, the data after the large-scale test is only analyzed in terms of time delay and packet error rate(PER), and only the analysis of these two indicators is not able to judge whether the equipment meets the technical indicators in the large-scale scenario. In this paper, we propose an analysis and evaluation scheme for the data after the communication performance of vehicle devices in large-scale tests, add the evaluation indexes of interval delay jitter and throughput, and propose some improvement schemes for the existing test data saving format.