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ISSN Approved Journal No: 2320-2882 | Impact factor: 7.97 | ESTD Year: 2013
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Published Paper Details:
Paper Title
A Comparative Analysis Of Ransomware Taxonomies And Behavioral Detection Models In Enterprise Environments
Authors
Rohit Rayakwar
Keywords
Ransomware Taxonomy, Behavioral Malware Analysis, Machine Learning, Cryptovirology, Zero-Trust Security, File Entropy Analysis, Multi-Extortion Models, Endpoint Detection and Response (EDR), Living-off-theLand (LotL) Attacks, Proactive Threat Mitigation
Abstract
Ransomware has transitioned from a
localized cryptographic nuisance to a
professionalized multi-extortion ecosystem
capable of paralyzing critical infrastructure.
Traditional signature-based defenses are
increasingly ineffective against polymorphic and
zero-day variants that leverage "Living-off-theLand" (LotL) techniques. This paper provides a
comprehensive analysis of ransomware
taxonomies, focusing on Locker, Crypto, and
Multi-Extortion models. We further evaluate
advanced behavioral analysis frameworks,
emphasizing Machine Learning (ML) techniques
such as LSTM and Random Forest to identify
anomalous file system activity. The study
concludes that an integrated behavioral
approach is essential for achieving real-time
threat mitigation in modern heterogeneous
networks.
IJCRT's Publication Details
Unique Identification Number - IJCRT2601614
Paper ID - 299314
Page Number(s) - e951-e958
Pubished in - Volume 14 | Issue 1 | January 2026
DOI (Digital Object Identifier) -
Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882
E-ISSN Number - 2320-2882
Cite this article
Rohit Rayakwar, "A Comparative Analysis Of Ransomware Taxonomies And Behavioral Detection Models In Enterprise Environments", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.14, Issue 1, pp.e951-e958, January 2026, Available at :http://www.ijcrt.org/papers/IJCRT2601614.pdf
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Volume 14 | Issue 3
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Submit Manuscript Online Impact Factor: 7.97 Review Results : Within 02-03 Days Paper Publication : Within 02-03 Days
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
ISSN and 7.97 Impact Factor Details
ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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