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Design of Quantification Model for Prevent of Cryptolocker


Affiliations
1 Department of Multimedia, Hannam University, Korea, Republic of
2 Department of Computer Engineering, Hannam University, Korea, Republic of
 

The growth of ICT (Information and Communication Technology) within the society has become increasingly digitized, thus, the overall activity has amounted to various researches for protecting any data from malicious threats. Recently, ransomware has been a rapidly propagated subject for social engineering techniques especially the ransomware crypto locker. Users can delete a crypto locker code using an antivirus software code. However, the encrypted data would be impossible to recover. Therefore, crypto locker must be prevented and must have early detection before it infects any data. In this paper, we are proposing a quantification model to prevent and detect any cryptographic operations in the local drive.

Keywords

Cryptolocker, Prevent Model, Quantification, Social Engineering, Warning Technologies.
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  • Design of Quantification Model for Prevent of Cryptolocker

Abstract Views: 148  |  PDF Views: 0

Authors

Donghyun Kim
Department of Multimedia, Hannam University, Korea, Republic of
Wooyoung Soh
Department of Computer Engineering, Hannam University, Korea, Republic of
Seoksoo Kim
Department of Multimedia, Hannam University, Korea, Republic of

Abstract


The growth of ICT (Information and Communication Technology) within the society has become increasingly digitized, thus, the overall activity has amounted to various researches for protecting any data from malicious threats. Recently, ransomware has been a rapidly propagated subject for social engineering techniques especially the ransomware crypto locker. Users can delete a crypto locker code using an antivirus software code. However, the encrypted data would be impossible to recover. Therefore, crypto locker must be prevented and must have early detection before it infects any data. In this paper, we are proposing a quantification model to prevent and detect any cryptographic operations in the local drive.

Keywords


Cryptolocker, Prevent Model, Quantification, Social Engineering, Warning Technologies.



DOI: https://doi.org/10.17485/ijst%2F2015%2Fv8i19%2F138530