Research On Data-Driven Investigation Mode

In the era of big data,crimes are characterized by new types,network technology,and dynamics.Although the traditional criminal investigation model plays an important role in the historical process of China's criminal investigation,this investigation model,due to its inherent limitations,appears to be stretched when facing crimes in the era of big data.The confession-centric investigation concept is inconsistent with the judicial civilization orientation.The experience-dependent investigation model contradicts the trend of crime diversification.The labor-intensive investigation model is contrary to the value of investigation benefits.Retrospective investigation is difficult to achieve the purpose of crime prevention These defects of the pattern are magnified infinitely in the era of big data.The data-driven investigation model is a crime investigation model chosen by the times,which not only conforms to the development of the times but also meets the needs of fighting crime.The data-driven investigation model is data-led,using big data analysis methods,thinking,and ideas,based on massive data,and supplemented with big data technology,extracting crime-related data,and conducting data analysis to achieve crime detection and even Predict the purpose of the crime.Massive data resources,the digitized ecology of crime,and advanced big data technology are the realistic foundations for the smooth operation of data-driven investigation models.The data-driven detection model is based on the principle of material exchange and extends the principle of material exchange to cyberspace,combining it with information science and technology.The data-driven detection mode is more scientific and advanced than the traditional detection mode,and it can improve the active detection capability of the investigation agency and the prediction ability of the investigation agency.The construction of the data-driven investigation model needs to establish the concept of "data-led investigation".Investigation agencies should pay attention to data collection and data analysis.The process of investigation activities is the process of collecting and using data.Constructing a data-driven investigation model requires the establishment of an operational investigation data platform.The construction of the investigation data platform starts from the following two aspects: First,it is necessary to improve the basic construction of the data application platform,effectively integrate the public security information data and socialinformation data,maximize the number of data and ensure the quality of the data.The second is to establish a platform for sharing and sharing data resources.Data resources must break down industry barriers and realize the communication of data resources between investigative agencies and other industries and departments.The vitality of data lies in sharing.Only through sharing can data play its maximum effect.The crime monitoring mechanism,crime detection mechanism and crime prediction mechanism together constitute the operation mechanism of the data-driven investigation mode.These three mechanisms complement each other and rely on each other to effectively ensure the smooth operation of the data-driven investigation mode.The application path of the data-driven investigation model includes the determination of investigation ideas,emphasis on electronic forensics,and the use of investigation data platforms.In investigating ideas,investigators should turn their attention to the correlation between data instead of clinging to the causal relationship between clues;while investigators pay attention to criminal behavior,they should also pay attention to non-criminal behavior,and try to find a breakthrough in non-criminal behavior..The successful implementation of the data-driven investigation model must also be implemented in specific forensic measures.The popularity of electronic forensic measures and the emergence of new electronic forensic measures have provided support for investigative agencies to investigate and obtain evidence.Using the massive data information as the basis for investigation and the investigation data platform as the investigation tool,innovate and summarize a series of investigation methods of data-driven investigation mode.Among them,the data search method,data collision method and data mining method are typical representatives.Effectively meet the needs of criminal investigation in the new era.After all,the application of big data to criminal investigation is a new thing.In the process of applying the data-driven investigation model,attention should be paid to the following matters.First of all,we must accurately grasp the dialectical relationship between "change" and "unchange" in investigative activities.Secondly,the traditional criminal investigation model and the data-driven investigation model are not diametrically opposed to each other in terms of investigation methods.To a certain extent,the fusion and complementarity of traditional investigation methods and big data technology can be achieved.Furthermore,to balance the relationship between the efficiency of investigation and the privacy of citizens,on the premise that the purpose of investigation can be achieved,the range of data collected by investigators should be controlled within the minimum range.Finally,it is necessary to rationally understand the application of big data in investigation.Big data also has flaws,and there is also a side that cannot be done.