GANs: A DEEP LEARNING ALGORITHM FOR ADVANCED DECOY FILE

GANs: A DEEP LEARNING ALGORITHM FOR ADVANCED DECOY FILE
Author(s):
Ashy V Daniel, Aslin Monisha V S, M S Suvitha, S M Ashika, Dhanesh M
Keywords:
Data Exfiltration, GAN, decoy file, Ransomware
Abstract
Unauthorized removing or moving data is one of the major problem in information theft. Data exfiltration and ransomware attack are the things to be strictly considered. For this, decoy file strategies are used for protecting file and information. We propose GAN, General Adversarial networks which is a deep learning algorithm for decoying the files. This will create a pragmatic decoy files, which can be incorporate in enterprise network to engage the ransom ware threats effectively. This involves continuous monitoring for exceptional interaction and anxious communication. Exact testing against latest ransom ware documents explains over 92% engagement traits and sub-30 seconds response time. This can be used for early detection and prevention of data loss for extortion.
Article Details
Unique Paper ID: 163060 Publication Volume & Issue: Volume 0, Issue no Page(s): 188 - 192
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