The Study of Criminal Lingo Analysis on Cyberspace and Management Used in Artificial Intelligence and Block-chain Technology

  • Received : 2020.07.29
  • Accepted : 2020.08.30
  • Published : 2020.09.30


Online cybercrime has various causes. The criminal guilty language, Criminal lingo is active in the shaded area with the bilateral aspect of the word on cyber. It has been continuously producing massive risk factors in cyberspace. Criminals are shared and disseminated online. It has been linked with fake news and aids to suicide that has recently become an issue. Thus the criminal lingo has become a real danger factor on cyber interface. Recently, Criminal lingo is shared and distributed as cyber hazard information. It is transformed that damaging to the youth and ordinary people through the internet and social networks. In order to take action, it is necessary to construct an expert system based on AI to implement a smart management architecture with block-chain technology. In this paper, we study technically a new smart management architecture which uses artificial intelligence based decision algorithm and block-chain tracking technology to prevent the spread of criminal lingo factors in the evolving cyber world. In addition, through the off-line regular patrol program of police units, we proposed the conversion of online regular patrol program for "cyber harem area".


  1. H.S. Hwang, "Error Correcting in Korean Morpheme Recovery using Deep Learning", KOREA INFORMATION SCIENCE SOCIETY, Journal of KIISE 42(11), 2015.11, 1454. DOI
  2. S.Y. Kim, "An Experimental Study on Selecting Association Terms Using Text Mining Techniques", Korea Society for Information Management, Journal of the Korean Society for Information Management 23(3), 2006.9, 160. DOI :
  3. J.S. Kim, "A Study on the Factors Affecting the Intention of Acceptance of Block Chain Technology", Soongsil University Ph.D. Thesis, 2016. DOI
  4. T.H. Kim, "Block Chain Concept and Case Analysis by Field", Journal of Electrical World Monthly Magazine 487, 2017.7, 58-65(8 pages).
  5. H.D. Zubaydi, Y.W.Chong, K M.Ko, "A Review on the Role of Blockchain Technology in the Healthcare Domain". Electronics 2019, 8(6), 679 DOI
  6. Auqib Hamid Lone, Roohie Naaz Mir, "FORENSIC-CHAIN: ETHEREUM BLOCKCHAIN BASED DIGITAL FORENSICS CHAIN OF CUSTODY," Scientific and Practical Cyber Security Journal (SPCSJ) 1(2):21-27, Scientific Cyber Security Association (SCSA), 2017 ISSN: 2587-4667, URL:
  7. S.H. Kim, S. Chang, and S.W. Lee, "Consumer Trend Platform Development for Combination Analysis of Structured and Unstructured Big Data", Journal of Digital Convergence, Vol. 15. No. 6. pp. 133-143, 2017. DOI:
  8. Y. Kang, S. Kim, J. Kim, and S. Lee, "Examining the Impact of Weather Factors on Yield Industry Vitalization on Bigdata Foundation Technique", Journal of the Korea Entertainment Industry Association, Vol. 11. No. 4. pp. 329-340, 2017. DOI:
  9. S. Kim, H. Hwang, J. Lee, J. Choi, J. Kang, and S. Lee, "Design of Prevention Method Against Infectious Diseases based on Mobile Big data and Rule to Select Subjects Using Artificial Intelligence Concept", international Journal of Engineering and Technology, Vol. 7. No. 3. pp. 174-178, 2018 DOI:
  10. H.S Jung, J. Kang, C.H. Lee, and S. Lee, "Bigdata Analysis Model for MRO Business Using Artificial Intelligence System Concept", International Journal of Engineering and Technology, Vol. 7. No. 3. pp. 134-138, 2018. DOI: