ISSN (Online) : 2456 - 0774

Email : ijasret@gmail.com

ISSN (Online) 2456 - 0774

RANSOMWARE DETECTION AND CLASSIFICATION USING MACHINE LEARNING

Abstract

Abstract - Ransomware has emerged as a widespread menace in the digital realm, inflicting considerable financial losses and disrupting vital services for both individuals and organizations. Traditional signature-based detection methods are proving inadequate against the ever-evolving strategies employed by cybercriminals. This research introduces an inventive strategy to counter ransomware threats by leveraging machine learning techniques for effective detection and classification. The study makes a valuable contribution to the ongoing cybersecurity efforts by presenting a resilient and adaptive solution for identifying and categorizing ransomware. Through the utilization of machine learning, this approach establishes a proactive defense mechanism against ransomware threats, ensuring the protection of sensitive data, financial resources, and critical infrastructure from malicious attacks in the contemporary digital landscape. Keywords - Ransomware, Machine Learning, Cybersecurity, Threat Detection, Classification, Adaptive Defense, Cyber Threads, Digital Security, Data Protection 

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Paper Submission Open For October 2024
UGC indexed in (Old UGC) 2017
Last date for paper submission 30th October, 2024
Deadline Submit Paper any time
Publication of Paper Within 15-30 Days after completing all the formalities
Publication Fees  Rs.6000 (UG student)
Publication Fees  Rs.8000 (PG student)