A Survey on Detection & Prevention Methods of Ransomware in Cyber Security

Malhar Pandya , Snehal Sathwara

Malware, Ransomware, Cyber Security, Machine Learning

This paper examines the contributions of research to ransomware malware detection that uses machine learning and deep learning algorithms. The main motivations for this research is the destructive nature of ransomware, the difficulty of reversing the infection of ransomware, and the importance of detecting it before infecting the system. Machine learning soon coming at the forefront of the fight against ransomware, so here, we have tried to identify the weak points of the machine learning approaches and how they can be reinforced.

Published Paper   E-Certificate

"A Survey on Detection & Prevention Methods of Ransomware in Cyber Security", IJEDR - INTERNATIONAL JOURNAL OF ENGINEERING DEVELOPMENT AND RESEARCH (www.IJEDR.org), ISSN:2321-9939, Vol.10, Issue 2, page no.96-99, May 2022, Available :https://rjwave.org/IJEDR/papers/IJEDR2202016.pdf

Volume 10 Issue 2, April-2022

Pages : 96-99

Paper Reg. ID: IJEDR_220064

Published Paper Id: IJEDR2202016

Research Area: Engineering

Country: Jamnagar, Gujarat, India

Published Paper PDF: https://rjwave.org/IJEDR/papers/IJEDR2202016

Published Paper URL: https://rjwave.org/IJEDR/viewpaperforall?paper=IJEDR2202016

ISSN: 2321-9939 | IMPACT FACTOR: 9.37 Calculated By Google Scholar | ESTD YEAR: 2013

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.37 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJEDR (IJ Publication) Janvi Wave

This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition