摘要
数据是信息的载体,信息是数据的内容,数据安全法益具有独立性和层次性。刑法应当以数据安全为核心,通过数据风险识别和利益衡量,区分与数据安全相关的个体权益、公共利益和国家安全,进行不同层面的法益保护。数据分类分级为数据安全保障提供制度支撑,对于数据犯罪的认定具有重要功能。在数据分类分级的基础上,根据数据安全的法益性质及其所受侵害,对数据犯罪进行罪质界定和罪量评价,并对数据安全保护的关联罪名予以界分。
Data is the carrier of information,information is the content of data,data security legal interest has independence and hierarchy.Criminal law should take data security as the core,distinguish individual rights and interests,public interests and national security related to data security through data risk identification and interest measurement,and protect legal interests at different levels.Data classification provides institutional support for data security and plays an important role in the identification of data crimes.On the basis of data classification and classification,according to the legal interest nature of data security and its infringement,this paper defines the nature and quantity of data crime,and divides the related charges of data security protection.
出处
《法治研究》
CSSCI
2021年第3期17-27,共11页
Research on Rule of Law
基金
2019年度国家社科基金一般课题“大数据背景下公民个人信息刑法保护体系研究”(项目编号:19BFX074)阶段性成果。
