主管:中华人民共和国司法部
主办:司法鉴定科学研究院
ISSN 1671-2072  CN 31-1863/N

中国司法鉴定 ›› 2022 ›› Issue (1): 30-37.DOI: 10.3969/j.issn.1671-2072.2022.01.004

• 专题研讨:电子数据司法鉴定 • 上一篇    下一篇

海量电子数据审查的实现路径

赵宪伟, 刘 政, 徐 衍   

  1. 1.最高人民检察院检察技术信息研究中心,北京 1000412.北京市东城区人民检察院,北京 100001

    3.杭州市人民检察院,浙江 杭州 310036

  • 收稿日期:2021-12-30 出版日期:2022-01-15 发布日期:2022-02-18
  • 作者简介:赵宪伟(1979—),男,主要从事电子数据取证、鉴定和信息侦察工作。E-mail:best_zhao@126.com

Realistic Method of Massive Digital Forensics Evidence Examination

ZHAO Xianwei, LIU Zheng, XU Yan   

  1. 1. Procuratorial Technology Information Research Center of the Supreme People Procuratorate, Beijing 100041, China;

    2. Dongcheng District People Procuratorate of Beijing, Beijing 100001, China; 3. Hangzhou People Procuratorate, Hangzhou 310036, China

  • Received:2021-12-30 Published:2022-01-15 Online:2022-02-18

摘要:

有效解决海量电子数据审查这一难题,既是一线办案检察官面临的急迫需求,也是工程技术领域长久未能实现突破的领域。实践中,既要平衡电子数据量大与办案时限紧张之间的矛盾,还要面临检察官主动审查运用电子数据的意识低、相关专业技术人员力量薄弱以及缺乏相关的专业指引等突出问题。通过梳理司法办案通用模型,研究司法诉讼对电子数据价值挖掘的精准需求场景,利用人工智能和大数据技术建立与完善检察办案审查证据的知识图谱,实现对电子数据蕴含诉讼价值的深度和高效挖掘,是突破该问题的有益思考。

关键词:

海量电子数据, 检察审查, 人工智能, 技术协作

Abstract:

Effectively solving the problem of massive electronic data review is not only an urgent demand faced by front-line case handling prosecutors, but also an area that has not achieved a breakthrough in the field of Engineering Technology for a long time. In practice, we should not only balance the contradiction between the large amount of electronic data and the tight time limit for handling cases, but also face prominent problems such as the low awareness of prosecutors to actively review and use electronic data, the weak strength of relevant professional and technical personnel and the lack of relevant professional guidance. By combing the general model of judicial case handling, studying the precise demand scenario of judicial litigation for electronic data value mining, using artificial intelligence and big data technology to establish and improve the knowledge map of procuratorial case handling and review evidence, and realizing the in-depth and efficient mining of litigation value contained in electronic data are useful thoughts to break through this problem.

Key words:

massive digital forensics evidence, procuratorial examination, artificial intelligence, technology cooperation

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