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Ransomware-Prevention Technique Using Key Backup

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Big Data Technologies and Applications (BDTA 2016)

Abstract

In this paper, a key-backup technique for the recovery of files that have been encrypted by ransomware is proposed. Ransomware interferes with the victim’s system through the enactment of abnormal behavior, which is the locking of the victim’s system or the encryption of the system or files. Ransomware writers require money from victims as a condition for the recovery of the encrypted files and systems that have been seized; accordingly, systems that are infected by ransomware cannot be repaired without a decryption key, making the employment of detection and recovery methods urgent. In this paper, a prevention technique for the backing up of encryption keys in a secure repository, and that can enable the recovery of ransomware-infected systems and ransomware-encrypted files. The proposed technique can be used to repair systems that have been infected by ransomware, thereby ensuring safety regarding such malicious codes.

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Acknowledgment

This research was supported by the Basic Science Research Program through the National Research Foundation of Korea (NRF) that is funded by the Ministry of Education (NRF-2015R1D1A1A01057300) and the MSIP (Ministry of Science, ICT and Future Planning), Korea, under the ITRC (Information Technology Research Center) support program (IITP-2016-R0992-16-1006) supervised by the IITP (Institute for Information & communications Technology Promotion).

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Correspondence to Kangbin Yim .

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© 2017 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Lee, K., Oh, I., Yim, K. (2017). Ransomware-Prevention Technique Using Key Backup. In: Jung, J., Kim, P. (eds) Big Data Technologies and Applications. BDTA 2016. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 194. Springer, Cham. https://doi.org/10.1007/978-3-319-58967-1_12

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  • DOI: https://doi.org/10.1007/978-3-319-58967-1_12

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-58966-4

  • Online ISBN: 978-3-319-58967-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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