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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1379 ))

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Abstract

The development of the Internet has promoted the development of big data, and the quantification of information in the era of big data has caused an upsurge of personal privacy protection. To solve the problem of privacy protection of personal privacy in the era of big data, this article uses the literature analysis method to refer to the research experience of many previous scholars, and synthesize your own understanding, use cryptography to encrypt personal privacy in the era of big data, and implement encryption and decryption operations of the data processing process through the ESF algorithm to ensure the security of personal privacy. And comparatively analyzed the degree of importance my country and the United Kingdom, France and India attach to privacy-related laws, and the privacy leaks in four countries from 2015 to 2019. The final result shows that, before the right to privacy was widespread, China and India had 239 cases and 347 cases of privacy leakage, while Britain and France had 144 cases and 131 cases of privacy leakage because they had already implemented privacy laws. With the improvement of privacy-related laws, there are fewer and fewer privacy leaks, but the country still needs to pay attention to privacy-related laws and restrict and sanction offenders through relevant laws to reduce or avoid personal privacy leakage.

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References

  1. Li, F., Li, H., Wang, C., et al.: Guest editorial special issue on security and privacy protection for big data and IoT. IEEE Internet of Things J. 6(2), 1446–1449 (2019)

    Google Scholar 

  2. Sicari, S., Rizzardi, A., Grieco, L.A., et al.: Security, privacy and trust in Internet of Things: the road ahead. Comput. Netw. 76, 146–164 (2015)

    Google Scholar 

  3. Li, M., Lou, W., Ren, K.: Data security and privacy in wireless body area networks. IEEE Wirel. Commun. 17(1), 51–58 (2016)

    Article  Google Scholar 

  4. Bednar, K., Spiekermann, S., Langheinrich, M.: Engineering privacy. Inf. Soc. 35(5), 122–142 (2018)

    Google Scholar 

  5. Mannhardt, F., Koschmider, A., Baracaldo, N., et al.: Privacy-preserving process mining. Wirtschaftsinformatik 61(5), 595–614 (2019)

    Google Scholar 

  6. Abbas, H., Maennel, O., Assar, S.: Security and privacy issues in cloud computing. Ann. Telecommun. 72(5–6), 233–235 (2017)

    Article  Google Scholar 

  7. Andreu-Perez, J., Poon, C.C.Y., Merrifield, R.D., et al.: Big data for health. IEEE J. Biomed. Health Inf. 19(4), 1193–1208 (2015)

    Article  Google Scholar 

  8. Li, Q.Y., Zhang, L.: The public security and personal privacy survey: biometric technology in Hong Kong. IEEE Secur. Priv. 14(4), 12–21 (2016)

    Article  Google Scholar 

  9. Mathew, G., Obradovic, Z.: A distributed decision support algorithm that preserves personal privacy. J. Intel. Inf. Syst. 44(1), 107–132 (2015)

    Article  Google Scholar 

  10. Ruiz, R.D.S., Rogério, W., Park, K., et al.: Overconfidence: personal behaviors regarding privacy that allows the leakage of information in private browsing mode. Soc. Dig. Inf. Wireless Commun. 4(3), 404–416 (2015)

    Google Scholar 

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Liu, X. (2021). Legal Dilemma and Outlet of Privacy Protection in the Era of Big Data. In: Huang, C., Chan, YW., Yen, N. (eds) 2020 International Conference on Data Processing Techniques and Applications for Cyber-Physical Systems. Advances in Intelligent Systems and Computing, vol 1379 . Springer, Singapore. https://doi.org/10.1007/978-981-16-1726-3_95

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