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作 者:李康震 陈刚 周芮 Li Kangzhen;Chen Gang;Zhou Rui(Department of Investigation and Anti-terrorism of People’s Public Security University of China,Beijing 100038)
机构地区:[1]中国人民公安大学侦查与反恐怖学院,北京100038
出 处:《信息资源管理学报》2018年第3期81-92,共12页Journal of Information Resources Management
基 金:北京市社会科学基金项目"大数据时代中国国家反恐模式研究"(15JGA014)的成果之一
摘 要:大数据时代到来,侦查工作主客体关系发生变化,侦查部门需要高效的信息资源管理以应对日趋高科技化、网络化、动态化的犯罪趋势。但目前侦查信息资源管理规则建设滞后、适应性改革欠缺、服务犯罪打击不足等问题制约着新时代侦查工作的推进。区块链技术分布式、合约执行、安全可信、高容错等技术特性可打破对线下运行规则的路径依赖,通过技术规则补强法律规则,实现侦查信息资源的系统优化、合理配置、高效管理。以主权区块链为技术选择,区块链技术可实现数据信息分布式收集、安全存储、可信共享、规范运行、价值再提升,有利于推动侦查改革,助力犯罪打击。可搭建侦查信息资源合作场景、智慧侦查生态场景、侦查体制改革场景,建设自信任、自流程的现代化侦查。With the advent of the era of big data,the relationship between the subject and the object of investigation has changed.The investigation department needs efficient information resources management to cope with the increasingly high-tech,network,and dynamic crime trends.However,the current lags in the construction of investigation information resource management rules,the lack of adaptive reforms,and the lack of service crimes have hampered the advancement of investigations in the new era.The technical characteristics of blockchain technology,such as distributed,contract execution,security,reliability,and high fault tolerance,can break the path dependence on offline running rules,reinforce the legal rules through technical rules,and realize system optimization,reasonable allocation,and efficient detection information resources management.Choosing sovereign blockchain technology as selection,blockchain technology can achieve distributed collection of data information,secure storage,trusted sharing,standardized operation,and then enhance the value,to promote the reform of the investigation and crime crackdown.The investigation department can build collaborative investigation information resource scenario,smart investigation ecological scenario,detection system reform scenario,and lastly construct modern self-trusted,self-processed investigations.
关 键 词:主权区块链 技术架构 路径分析 场景搭建 侦查信息资源
分 类 号:G202[文化科学—传播学] TP391[自动化与计算机技术—计算机应用技术]
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