Design of Quantification Model for Prevent of Cryptolocker
Donghyun Kim, Wooyoung Soh, Seoksoo Kim · Indian Journal of Science and Technology · 2015
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