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CryptoLocker

Known as: CryptoWall 
CryptoLocker is a ransomware trojan that targets computers running Microsoft Windows, believed to have first been posted to the Internet on 5… Expand
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Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2019
2019
DRTHIS: Deep ransomware threat hunting and intelligence system at the fog layer
Abstract Ransomware, a malware designed to encrypt data for ransom payments, is a potential threat to fog layer nodes as such… Expand
2018
2018
What Petya/NotPetya Ransomware Is and What Its Remidiations Are
Ransomware attacks have been growing worldwide since they appeared around 2012. The idea of ransomware attacks is, encrypting and… Expand
2018
2018
Encryption analysis of AES-Cipher Block Chaining performance in Crypto-Wall Ransomware and SDN based mitigation
The arrival of affordable high speed internet and superior computing processors has given the ability to access a novel… Expand
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2018
2018
Strategies for Ransomware Removal and Prevention
Ransomware is now become a bad tool to earn money, theft data, hack the system or to stop the normal functioning of the system… Expand
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Highly Cited
2016
Highly Cited
2016
Behind closed doors: measurement and analysis of CryptoLocker ransoms in Bitcoin
Bitcoin, a decentralized cryptographic currency that has experienced proliferating popularity over the past few years, is the… Expand
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2016
2016
Deep Learning for Ransomware Detection
Ransomware is a kind of malware that installs covertly on a victim’s computer or smartphone, executes a cryptovirology attack and… Expand
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Highly Cited
2016
Highly Cited
2016
Using Software-Defined Networking for Ransomware Mitigation: The Case of CryptoWall
Currently, different forms of ransomware are increasingly threatening Internet users. Modern ransomware encrypts important user… Expand
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2016
2016
Developing malware evaluation infrastructure
Malware evaluation is a key factor in security. It supposed to be safe and accurate. The contemporary malware is very… Expand
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Highly Cited
2016
Highly Cited
2016
Predicting Domain Generation Algorithms with Long Short-Term Memory Networks
Various families of malware use domain generation algorithms (DGAs) to generate a large number of pseudo-random domain names to… Expand
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2015
2015
When advertising turns nasty
In this ever more commercialised world, it's maybe not surprising that a pervasive social phenomenon, advertising, has its dark… Expand
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