Over the past decade, researchers have identified intervention methods and program models that reduce juvenile delinquency and encourage prosocial development. Preventing juvenile delinquency not only saves young lives from being wasted but also prevents the onset of adult criminal careers and thus reduces the burden of crime on its victims and society. Aiming at this social problem, this study combines Internet of Things and grid models to study the attribution and prevention mechanisms of minor campus violence crimes. It realizes the modern network system mode of information management, collaborative operation, and grid integration in the target area through Internet of Things and grid models. In addition, based on consulting-related literature and practical research, the causes of campus violence crimes are analyzed through a self-organizing competitive neural network. Finally, this article combines the judicial practice of the management of campus violence and presents the prevention and control countermeasures of juvenile campus violence crimes to effectively prevent and control the occurrence of juvenile campus violence crimes.

Since the concept "cloud computing" was first put forward, arguments about its data security have been lasting, which involve two aspects. One is how to keep the information of client from hackers, the other is the assurance of security and accuracy when passing data to users. This paper shall explore in depth the solutions to security issues especially happening to the skyrocketing e-commerce established on cloud computing technology. By using key cryptographic system (KCS), data security of e-business cloud will be well-assured. Practical ways to realize the KCS method are discussed in this paper.