算法是检测与自动数据处理系统(ADAS)相关的刑事犯罪危害的基本方法

Uldis Ķinis, Ņikita Sinkevičs
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引用次数: 0

摘要

本文以刑法第二百四十一条第一款和第二百四十三条第一款、第二款为例,分析信息系统安全犯罪的实质损害适用问题。虽然《刑法生效和适用程序法》第23条界定了实质性损害,但现行法律的措辞及其在拉脱维亚法院实践中的适用仍然存在问题。作者研究了欧洲联盟和拉脱维亚关于网络和信息系统的规定,这些规定为社会提供了必要的服务安全。笔者认为,应当将提供重要服务和产生重大服务影响的制度认定为刑法第二百四十一条第三款、第二百四十三条第五款犯罪的直接客体。此外,为了起诉这些罪行,没有必要证明有害影响的存在。作者建议对信息系统进行分类,在功能上涵盖该国所有现有系统。因此,作者建议简化这一确定重大损害的过程,并用一种算法取代目前的程序。研究中采用了一般的科学研究方法和法律解释方法。关键词:算法,自动数据处理系统,实质性危害,安全事件,非物质损失,犯罪行为
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Algoritms kā būtiska kaitējuma noteikšanas metode noziedzīgos nodarījumos, kas saistīti ar automatizētu datu apstrādes sistēmu (ADAS)
The aim of the article is to analyse the problem of applying substantial harm in offenses against the security of information systems, in particular Paragraph one of Article 241 and the paragraph one and two of Article 243 of the Criminal Law. Although substantial harm is defined in Article 23 of the Law on the Procedures for the Coming into Force and Application of the Criminal Law, the wording of the current law and its application in the court practice of Latvia is still problematic. The authors have studied the European Union and regulations in Latvia on the network and information system, which provides security of services essential to society. The authors concluded that systems which provide essential service and significant impact of service must be recognised as the direct object of the offense of Article 241, Paragraph three and Article 243, Paragraph five of the Criminal Law. Furthermore, it is not necessary to prove existence of harmful effects in order to prosecute these offenses. The authors propose to introduce a classification of information systems that would functionally cover all existing systems in the country. Therefore, the authors propose to simplify this process of determining significant damage and replace the current procedure with an algorithm. General methods of scientific research and methods of legal interpretation have been used in the research. Keywords: algorithm, automated data processing system, substantial harm, security incident, non-material loss, criminal delinquency
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