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大数据时代数据犯罪的类型化与制裁思路

发布时间:2018-10-16 17:20
【摘要】:大数据时代的数据犯罪需要进行法律框架内的具体化与规范层面的类型化。对于数据犯罪危险的类型化方法主要有宏观与微观、主观与客观、静态与动态三种路径,从各种不同侧面综合剖析。数据犯罪的危险体现为不确定性及复杂性。对于此种危险的规范化需要从以基本权利为基础的法益概念出发。应以信息论这一类型化途径为依托,分析网络数据的技术特征与数据的非物质性本质,从而实现向传统刑法体系的合理嵌入。数据犯罪的制裁思路是建立"基本行为特征类型化模式+动态链条模式"的纵横双向模式:横向制裁思路是建立以"基本行为特征类型化"为思路的数据犯罪双核心制裁体系;纵向制裁思路是按照数据犯罪链条的步骤分割与过程整合,实现对于数据犯罪链条的全环节刑法规制。
[Abstract]:The data crime in big data era needs to be concretized and classified in the legal framework. There are three ways to classify the risk of data crime: macro and micro, subjective and objective, static and dynamic. The danger of data crime is uncertainty and complexity. The standardization of such risks needs to proceed from the concept of legal interest based on fundamental rights. Based on the information theory, this paper analyzes the technical characteristics of the network data and the non-material nature of the data, so as to realize the reasonable embedding of the network data into the traditional criminal law system. The sanction idea of data crime is to establish the "basic behavior characteristic type mode dynamic chain mode", and horizontal sanction thought is to establish the dual core sanction system of data crime with the idea of "basic behavior characteristic type"; The idea of vertical sanction is to divide and integrate the process according to the step of data crime chain, and to realize the whole link of criminal law regulation of data crime chain.
【作者单位】: 中国政法大学;马克斯普朗克外国刑法与国际刑法研究所;
【基金】:中国政法大学优秀中青年教师培养支持计划资助项目 2012年教育部哲学社会科学重大课题攻关项目“信息时代网络法律体系的整体建构研究”(项目编号:12JZD039)的阶段性成果
【分类号】:D924.3


本文编号:2275100

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