Convolutional Neural Network-Based Cryptography Ransomware Detection for Low-End Embedded Processors

Convolutional Neural Network-Based Cryptography Ransomware Detection for Low-End Embedded Processors

A crypto-ransomware has the process to encrypt victim’s files. Afterward, the crypto-ransomware requests a ransom for the password of encrypted files to victims. In this paper, we present a novel approach to prevent crypto-ransomware by detecting block cipher algorithms for Internet of Things (IoT)...

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Bibliographic Details
Main Authors: Hyunji Kim, Jaehoon Park, Hyeokdong Kwon, Kyoungbae Jang, Hwajeong Seo
Format: Article
Language:English
Published: MDPI AG 2021-03-01
Series:Mathematics
Subjects:
deep learning
cryptography
ransomware
internet of things
Online Access:https://www.mdpi.com/2227-7390/9/7/705

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