Ransomware Threat Analysis Using Machine Learning

Ransomware Threat Analysis Using Machine Learning

Dr.Anitha T.N1, and Ashish Kumar Mahto2, Harsh Pandey2, Sakshi Pandey2

1Professor, Department of CSE, Sir M. Visvesvaraya Institute Technology, Bangalore, India

1 anitharesddytn72@gmail.com

2Students, CSE, Sir M. Visvesvaraya Institute of Technology, Bangalore, India

2{ashishhero737,harshpandey3883,sakshipandeyiffco09}@gmail.com

ABSTRACT:
With the advancement and easy accessibility of computer and internet technology, network security has become vulnerable to hacker threats, including ransomware attacks targeting smartphone operating systems (e.g., Android) and applications. Despite efforts to detect malicious URLs, lexical features sometimes need to be improved. This document provides an overview of ransomware, a timeline of assaults, and comprehensive research on methods for identifying, avoiding, minimising, and recovering from ransomware attacks. Analysing studies between 2017 and 2024 offers up-to- date knowledge on developments in ransomware detection and advancements in combating ransomware attacks, highlighting unanswered concerns and potential research challenges.

KEYWORDS:
Machine Learning; Ransomware, Cybers-attacks; Android; Malware; Hacker; Ransomware detection.