Early Detection of Cyber-Attack by Using Machine Learning and Blockchain Technology

Author(s)	Mr. Servesh Jaimangal Gupta, Mr. Pratik Prakash Tawde
Country	India
Abstract	Blockchain has moved beyond the hype to real-world implementation in a broad range of industries (eg. Finance, supply chain management and Internet of Things) and applications (eg. cybersecurity and digital forensics), partly evidenced by its evolution over the last decade or so. When writing this foreword, we are already in the fourth generation of blockchain (also known as Blockchain 4.0) and inching towards the fifth generation of blockchain. This study looks into the current, and potential uses of Blockchain technology in business, specifically in cybersecurity. The highlight of the documentation is the technology which is integrated not only to prevent fraud but also to predict it, using machine learning this technology is known as ‘Federative Learning’.
Keywords	Cybersecurity, Federative Learning
Field	Engineering
Published In	Volume 7, Issue 2, March-April 2025
Published On	2025-04-30
DOI	https://doi.org/10.36948/ijfmr.2025.v07i02.43400
Short DOI	https://doi.org/g9g774

About IJFMR Fees & Payment Current Issue Publication Archive	Submit Research Paper Track Submission Status Publication Guidelines Publication Ethics Peer Review & Plagiarism	Join as a Reviewer Editors & Reviewers Reviewer Referral Program Get Reviewer Membership Certi.	Website/Journal Policies Usage Policy Content Policies Privacy Policy

Contact Us		+91-9687-828-838	editor@ijfmr.com

International Journal For Multidisciplinary Research