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Link to original content: https://unpaywall.org/10.1007/S11227-016-1825-5
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CloudRPS: a cloud analysis based enhanced ransomware prevention system

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Abstract

Recently, indiscriminate ransomware attacks targeting a wide range of victims for monetary gains have become a worldwide social issue. In the early years, ransomware has used e-mails as attack method. The most common spreading method was through spam mail or harmful websites. In addition, social networking sites or smartphone messages are used. Ransomware can encrypt the user’s files and issues a warning message to the user and requests payment through bitcoin, which is a virtual currency that is hard to trace. It is possible to analyze ransomware but this has its limitations as new ransomware is being continuously created and disseminated. In this paper, we propose an enhanced ransomware prevention system based on abnormal behavior analysis and detection in cloud analysis system—CloudRPS. This proposed system can defend against ransomware through more in-depth prevention. It can monitors the network, file, and server in real time. Furthermore, it installs a cloud system to collect and analyze various information from the device and log information to defend against attacks. Finally, the goal of the system is to minimize the possibility of the early intrusion. And it can detect the attack quickly more to prevent at the user’s system in case of the ransomware compromises.

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Acknowledgments

This work was partly supported by Institute for Information & communications Technology Promotion(IITP) Grant funded by the Korea government(MSIP) (No.R-20160222-002755, Cloud based Security Intelligence Technology Development for the Customized Security Service Provisioning) and This research was supported by the MSIP(Ministry of Science, ICT and Future Planning), Korea, under the ITRC(Information Technology Research Center) support program (IITP-2016-H8501-16-1014) supervised by the IITP(Institute for Information & communications Technology Promotion).

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Authors and Affiliations

  1. Department of Computer Science and Engineering, Seoul National University of Science and Technology, Seoul, Korea

    Jeong Kyu Lee, Seo Yeon Moon & Jong Hyuk Park

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  1. Jeong Kyu Lee
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  2. Seo Yeon Moon
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  3. Jong Hyuk Park
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Correspondence to Jong Hyuk Park.

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Lee, J.K., Moon, S.Y. & Park, J.H. CloudRPS: a cloud analysis based enhanced ransomware prevention system. J Supercomput 73, 3065–3084 (2017). https://doi.org/10.1007/s11227-016-1825-5

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