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Research on Electronic Evidence Management System Based on Knowledge Graph

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Book cover Dependability in Sensor, Cloud, and Big Data Systems and Applications (DependSys 2019)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1123))

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Abstract

With the development of information technology, electronic data cues have been playing an important role in the investigation of criminal cases. However, the difficulty of analyzing massive data have also brought great challenges to criminal investigations. At present, Big data, artificial intelligence and other technologies are used to store and analyze electronic evidence such as text, pictures, videos, forms, etc. However, to deeply mine and make full use of the semantic information of evidence and to break the barrier between various heterogeneous data are still hard to be settled. To solve these problems, the innovation of storage form of data is desperately needed to construct a unified expression of data for heterogeneous information. This paper proposes to build a case-oriented knowledge graph, and provides solutions to the association and the relation of the knowledge graph with external information and non-electronic data evidence respectively. This knowledge graph can be used to realize the reasoning and judgment of cross-structure information, and assist the public security organs to detect cases.

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References

  1. Zhao, Z.: Design and implementation of automatic reasoning method for electronic evidence. J. People’s Public Secur. Univ. Chin. 22(02), 83–87 (2016)

    Google Scholar 

  2. Zheng, T., Zhang, Y.: Application of domain ontology-based data mining technology in investigation of bribery crime. Chin. Prosecutor 2016(03), 55–57 (2016)

    Google Scholar 

  3. Yin, Y.: Design and Implementation of Judges Knowledge Management System. University of Chinese Academy of Sciences, Beijing (2014)

    Google Scholar 

  4. Tian, Z., et al.: Real time lateral movement detection based on evidence reasoning network for edge computing environment. IEEE Trans. Industr. Inf. 15(07), 4285–4294 (2019)

    Article  Google Scholar 

  5. Yang, J., Cao, J., Gao, H.: Ontology-based telecom fraud analysis knowledge base model. Comput. Eng. Des. 38(06), 1418–1423 (2017)

    Google Scholar 

  6. Shen, J., Miao, T., Liu, Q., Ji, S., Wang, C., Liu, D.: S-SurF: an enhanced secure bulk data dissemination in wireless sensor networks. In: Wang, G., Atiquzzaman, M., Yan, Z., Choo, K.-K.R. (eds.) SpaCCS 2017. LNCS, vol. 10656, pp. 395–408. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-72389-1_32

    Chapter  Google Scholar 

  7. Yan, H., Deng, J., Yang, Y.: Research on construction of conceptual knowledge base of public security information by thematic map ontology technology. J. People’s Public Secur. Univ. Chin. 18(01), 44–48 (2012)

    Google Scholar 

  8. She, G., Zhang, Y.: Research on ontology-based case reasoning scheme for criminal trials. Libr. Inf. Work 58(13), 118–124 (2014)

    Google Scholar 

  9. Cao, X., Dang, L., Fan, K., Fu, Y.: An attack to an anonymous certificateless group key agreement scheme and its improvement. In: Wang, G., Atiquzzaman, M., Yan, Z., Choo, K.-K.R. (eds.) SpaCCS 2017. LNCS, vol. 10656, pp. 56–69. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-72389-1_5

    Chapter  Google Scholar 

  10. Tian, Z., Gao, X., Su, S., Qiu, J., Du, X., Guizani, M.: Evaluating reputation management schemes of internet of vehicles based on evolutionary game theory. IEEE Trans. Veh. Technol. 68(6), 5971–5980 (2019)

    Article  Google Scholar 

  11. Bollacker, K., Evans, C., Paritosh, P.: Freebase: a collaboratively created graph database for structuring human knowledge. In: ACM SIGMOD International Conference on Management of Data, SIGMOD, pp. 1247–1250. DBLP (2008)

    Google Scholar 

  12. Tan, Q., Gao, Y., Shi, J., Wang, X., Fang, B., Tian, Z.: Toward a comprehensive insight into the eclipse attacks of Tor hidden services. IEEE Internet Things J. 6(2), 1584–1593 (2019)

    Article  Google Scholar 

  13. Ouyang, L., Tian, Y., Tang, H., Zhang, B.: Chinese named entity recognition based on B-LSTM neural network with additional features. In: Wang, G., Atiquzzaman, M., Yan, Z., Choo, K.-K.R. (eds.) SpaCCS 2017. LNCS, vol. 10656, pp. 269–279. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-72389-1_22

    Chapter  Google Scholar 

  14. Zuva, T., Kwuimi, R.: Comprehensive diversity in recommender systems. In: Wang, G., Atiquzzaman, M., Yan, Z., Choo, K.-K.R. (eds.) SpaCCS 2017. LNCS, vol. 10656, pp. 571–583. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-72389-1_45

    Chapter  Google Scholar 

  15. Gao, X.: Construction of legal knowledge graph of artificial intelligence for civil judicial application based on essential factual civil judgment theory. Law Soc. Develop. 24(06), 66–80 (2018)

    Google Scholar 

  16. Li, M., Liu, W., Mi, Y.: Electronic evidence system of public data based on block chain and relevance analysis. J. Intell. Sys. 2019(09), 1–13 (2019)

    Google Scholar 

  17. Hao, P.: Study on the Construction of Security Police Knowledge Graph. People’s Public Security University of China, Beijing (2019)

    Google Scholar 

  18. Xu, H.: Modeling Research on Ontology of Criminal Case Domain. People’s Public Security University of China, Beijing (2017)

    Google Scholar 

  19. Lu, M.: Application and prospect of artificial intelligence in criminal justice. J. Liaoning Inst. Public Secur. Judicial Manage. 2019(04), 52–57 (2019)

    Google Scholar 

  20. Yao, Y.: On the innovative strategies of economic crime investigation under background of big data. Legal Syst. Econ. 2019(07), 132–133 (2019)

    Google Scholar 

  21. Ji, J.: Construction and application of police cloud platform in the perspective of Big Data. Electron. Tech. Softw. Eng. 2019(13), 169–170 (2019)

    Google Scholar 

  22. Tian, Z., Su, S., Shi, W., Du, X., Guizani, M., Yu, X.: A data-driven model for future internet route decision modeling. Future Gener. Comput. Sys. 95, 212–220 (2019)

    Article  Google Scholar 

  23. Xu, Z., Li, X.: Secure transfer protocol between app and device of Internet of Things. In: Wang, G., Atiquzzaman, M., Yan, Z., Choo, K.-K.R. (eds.) SpaCCS 2017. LNCS, vol. 10658, pp. 25–34. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-72395-2_3

    Chapter  Google Scholar 

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Acknowledgments.

This work was supported in part by Guangdong Province Key Research and Development Plan (Grant No. 2019B010137004), the National Key research and Development Plan (Grant No. 2018YFB1800701, No. 2018YFB0803504, and No. 2018YEB1004003), and the The National Natural Science Foundation of China (Grant No. U1636215 and 61572492).

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Authors and Affiliations

  1. Beijing Police College, Beijing, 102202, China

    Honghao Wu

Authors
  1. Honghao Wu
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Correspondence to Honghao Wu .

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Editors and Affiliations

  1. Guangzhou University, Guangzhou, China

    Guojun Wang

  2. Fordham University, New York, USA

    Md Zakirul Alam Bhuiyan

  3. Università degli Studi di Milano, Milan, Italy

    Sabrina De Capitani di Vimercati

  4. Hangzhou Dianzi University, Hangzhou, China

    Yizhi Ren

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Wu, H. (2019). Research on Electronic Evidence Management System Based on Knowledge Graph. In: Wang, G., Bhuiyan, M.Z.A., De Capitani di Vimercati, S., Ren, Y. (eds) Dependability in Sensor, Cloud, and Big Data Systems and Applications. DependSys 2019. Communications in Computer and Information Science, vol 1123. Springer, Singapore. https://doi.org/10.1007/978-981-15-1304-6_33

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  • DOI: https://doi.org/10.1007/978-981-15-1304-6_33

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-15-1303-9

  • Online ISBN: 978-981-15-1304-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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