文献类型： 会议论文
第一作者： Saleha Saudagar
作者： Saleha Saudagar 1 ; Rekha Ranawat 1 ;
作者机构： 1.Department of Computer Science and Engineering, SAGE,University, Indore
关键词： Deep learning;Analytical models;Machine learning algorithms;Roads;Computer industry;Explosions;Data models
会议名称： International Conference for Advancement in Technology
主办单位：
页码： 1-3
摘要： Security has been one of the major concerns from the very start of the vehicular revolution irrespective of the industry. A sudden explosion in the amount of vehicle availability has led to an increase in the number of digital thefts. Similarly malicious behavior of vehicles has become a leading field of specialization in Computer Industry to protect Vehicular network from unwanted behavior of vehicles. To address this specific issue, this paper proposes a system developed to be developed in. Different types of machine learning/Deep learning algorithms are to apply to protect from various types misbehaving vehicles.
分类号： tp3
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