A comprehensive literature review on ransomware detection using deep learning

The manifold rise in ransomware attacks noted highest in 2023 posing a serious trepidation for cyber professionals to be active watchdogs of the early detection techniques. Ransomware is a type of malware often used to encrypt the confidential user files and network and demanding a hefty ransome to...

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Main Author: Er. Kritika
Format: Article
Language:English
Published: KeAi Communications Co., Ltd. 2025-12-01
Series:Cyber Security and Applications
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2772918424000444
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author Er. Kritika
author_facet Er. Kritika
author_sort Er. Kritika
collection DOAJ
description The manifold rise in ransomware attacks noted highest in 2023 posing a serious trepidation for cyber professionals to be active watchdogs of the early detection techniques. Ransomware is a type of malware often used to encrypt the confidential user files and network and demanding a hefty ransome to decrypt it. The emergence of modern day technologies like artificial intelligence making it unchallenging for the novice attackers to use service platform such as RaaS to conduct the ransomware attack and victimize gullible individuals and organisations often demanding ransom in millions and billions. There exists the need to mitigate strategies using frameworks to combat such threats like deep learning which uses neural network to process and learn new information and train models on preprocessed data. The paper delves into providing the literature review on ransomware detection using deep learning techniques.
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spelling doaj-art-cbca43e8f0e5480e934f7ca8d29cb3d72025-08-20T02:49:57ZengKeAi Communications Co., Ltd.Cyber Security and Applications2772-91842025-12-01310007810.1016/j.csa.2024.100078A comprehensive literature review on ransomware detection using deep learningEr. Kritika0Independent Researcher, IndiaThe manifold rise in ransomware attacks noted highest in 2023 posing a serious trepidation for cyber professionals to be active watchdogs of the early detection techniques. Ransomware is a type of malware often used to encrypt the confidential user files and network and demanding a hefty ransome to decrypt it. The emergence of modern day technologies like artificial intelligence making it unchallenging for the novice attackers to use service platform such as RaaS to conduct the ransomware attack and victimize gullible individuals and organisations often demanding ransom in millions and billions. There exists the need to mitigate strategies using frameworks to combat such threats like deep learning which uses neural network to process and learn new information and train models on preprocessed data. The paper delves into providing the literature review on ransomware detection using deep learning techniques.http://www.sciencedirect.com/science/article/pii/S2772918424000444RansomwareDeep learningThreat vectorRansomware as a service (RaaS)
spellingShingle Er. Kritika
A comprehensive literature review on ransomware detection using deep learning
Cyber Security and Applications
Ransomware
Deep learning
Threat vector
Ransomware as a service (RaaS)
title A comprehensive literature review on ransomware detection using deep learning
title_full A comprehensive literature review on ransomware detection using deep learning
title_fullStr A comprehensive literature review on ransomware detection using deep learning
title_full_unstemmed A comprehensive literature review on ransomware detection using deep learning
title_short A comprehensive literature review on ransomware detection using deep learning
title_sort comprehensive literature review on ransomware detection using deep learning
topic Ransomware
Deep learning
Threat vector
Ransomware as a service (RaaS)
url http://www.sciencedirect.com/science/article/pii/S2772918424000444
work_keys_str_mv AT erkritika acomprehensiveliteraturereviewonransomwaredetectionusingdeeplearning
AT erkritika comprehensiveliteraturereviewonransomwaredetectionusingdeeplearning