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Data and Privacy Crisis on Internet Application of Artificial Intelligence

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Computer Networks and IoT (IAIC 2023)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 2060))

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Abstract

The widely use of intelligent applications makes us live with data and algorithms every day. While improving the quality of our lives, its potential misuse of personal information poses a threat to our privacy. People are gradually paying more attention to privacy protection as the increasing number of such incidents indicates the seriousness of the personal information leakage problem and the intensification of privacy risks. This paper analyzes data security issues and metrics for privacy protection in Artificial Intelligence, then some recommendation for privacy protection is proposed.

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References

  1. Eason, G., Noble, B., Sneddon, I.N.: On certain integrals of Lipschitz-Hankel type involving products of Bessel functions. Phil. Trans. Roy. Soc. London 247, 529–551 (1955)

    Article  MathSciNet  Google Scholar 

  2. Yang, P., Xiong, N., Ren, J.: Data security and privacy protection for cloud storage: a survey. IEEE Access 8, 131723–131740 (2020)

    Article  Google Scholar 

  3. Hao, M., Li, H., Luo, X., Xu, G., Yang, H., Liu, S.: Efficient and privacy-enhanced federated learning for industrial artificial intelligence. IEEE Trans. Ind. Inf. 16(10), 6532–6542 (2020)

    Article  Google Scholar 

  4. Maxwell, J.C.: A Treatise on Electricity and Magnetism, vol. 2, 3rd edn, pp.68–73. Clarendon, Oxford (1892)

    Google Scholar 

  5. Jacobs, I.S., Bean, C.P.: Fine particles, thin films and exchange anisotropy. In: Rado, G.T., Suhl, H. (eds.) Magnetism, vol. III, pp. 271–350. Academic, New York (1963)

    Google Scholar 

  6. Elissa, K.: Title of paper if known. unpublished

    Google Scholar 

  7. Nicole, R.: Title of paper with only first word capitalized. J. Name Stand. Abbrev. in press

    Google Scholar 

  8. Yorozu, Y., Hirano, M., Oka, K., Tagawa, Y.: Electron spectroscopy studies on magneto-optical media and plastic substrate interface. IEEE Transl. J. Magn. Jpn. 2, 740–741 (1987)

    Article  Google Scholar 

  9. Young, M.: The Technical Writer’s Handbook. University Science, Mill Valley (1989)

    Google Scholar 

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Author information

Authors and Affiliations

  1. China Telecom Research Institute, Beijing, China

    Sen Xu, Jincan Xin & Hua Xu

  2. China Telecommunications Corporation, Beijing, China

    Fei Yan

  3. China Unicom Research Institute, Beijing, China

    Yu Fu

Authors
  1. Sen Xu
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  2. Fei Yan
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  3. Yu Fu
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  4. Jincan Xin
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  5. Hua Xu
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Corresponding author

Correspondence to Sen Xu .

Editor information

Editors and Affiliations

  1. Huazhong University of Science and Technology, Wuhan, Hubei, China

    Hai Jin

  2. Chinese Academy of Science, Shenzhen, China

    Yi Pan

  3. Nanjing University of Science and Technology, Nanjing, China

    Jianfeng Lu

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© 2024 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Xu, S., Yan, F., Fu, Y., Xin, J., Xu, H. (2024). Data and Privacy Crisis on Internet Application of Artificial Intelligence. In: Jin, H., Pan, Y., Lu, J. (eds) Computer Networks and IoT. IAIC 2023. Communications in Computer and Information Science, vol 2060. Springer, Singapore. https://doi.org/10.1007/978-981-97-1332-5_19

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  • DOI: https://doi.org/10.1007/978-981-97-1332-5_19

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-97-1331-8

  • Online ISBN: 978-981-97-1332-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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