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数据爬取行为刑事不法认定的应然转向

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滥用数据爬取技术有必要动用刑法加以规制,但司法实务及理论界的主要观点皆以爬取行为避开或突破技术保护措施作为判定刑事不法性的依据,导致刑法保护对象发生偏误,也抽空了数据犯罪的法益保护内容,抑制了数据公共价值的释放.以数据分类分级为基础建构数据安全法益,对数据爬取行为刑事不法的认定要以在客观上侵犯数据安全法益,主观上对行为方式与爬取数据的总量、数据表征的信息内容存在明知的事实上进行.数据爬取行为刑事不法性标准的重塑可作为《刑法》第285条第2款的"违反国家规定"与"情节严重"之间构建适格的构成要件行为的过渡,并可为非法获取数据行为确立值得刑法规制的罪质.
The Necessary Shift in the Determination of Criminal Wrongdoing in Data Crawling Behaviors
It is necessary to use criminal law to regulate the abuse of data crawling technology,but main viewpoints in judicial practice and theoretical circles take crawling behaviors to avoid or break out of tech-nical protection measures as the basis for determining criminal illegality,which leads to erroneous protec-tion objects of criminal law,empties legal protection content of data crimes,and inhibits the release of data public value.It is proposed to construct data security legal interests based on data classification and grading,and to determinate criminal illegality in data crawling behaviors based on objective violation of data security legal interests and subjectively explicit awareness of behavior mode,total amount of crawled data,and the information content represented by the data.The reshaping of criminal illegality standard for data crawling behaviors can serve as a transition between"violating national regulations"and"serious circumstances"in Article 285(2)of the Criminal Law,and establish a criminal nature that is worthy of criminal regulation for illegal data acquisition behavior.

data crawlingdata security legal benefitscriminal illegalitycrime of illegally obtaining data from computer information systems

智逸飞

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云南大学法学院,云南昆明 650091

数据爬取 数据安全法益 刑事不法性 非法获取计算机信息系统数据罪

国家社会科学基金

18BFX092

2024

太原理工大学学报(社会科学版)
太原理工大学

太原理工大学学报(社会科学版)

CHSSCD
影响因子:0.218
ISSN:1009-5837
年,卷(期):2024.42(1)
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