Title: Behavioural cyber malware controller and blocker using block chain, machine learning, and VAPT

Authors: Sulakshana B. Mane; Mohd Zafar Shaikh; Kiran Shrimant Kakade; Jayant Brahmane

Addresses: Bharati Vidyapeeth College of Engineering, Navi Mumbai, India ' Shri Vile Parle Kelavani Mandal's, Shri Bhagubhai Mafatlal Polytechnic, (Govt. Aided Autonomous Institute), Irla, Vile Parle (W), Mumbai – 400056, India ' Faculty of Management, Symbiosis Institute of Management Studies (SIMS), Symbiosis International Deemed University (SIU), Pune, India ' Operations Department, Guru Nanak Institute of Management Studies, University of Mumbai, Mumbai, India

Abstract: When talking about topics such as Digital India, the Internet Era, or the Internet of Things, the role of providing people with a sense of safety is of the highest significance. Because we deal with such a huge number of different types of information, we are confronted with a wide variety of issues brought about by cyber infection. There is a kind of harmful software known as ransomware that may be discovered in the internet. In addition, its influence will execute a variety of actions, including the theft of personal data, the misuse of data, and unauthorised access. When it spreads, it will encrypt your data and lock your machine. The purpose of this study is to explore the many different defensive techniques that might be used in response to ransomware attacks. In conclusion, the proposed algorithm got the best result in 66 ms, which was a classification accuracy of 99.41%.

Keywords: digital India; cyber malware; ransom ware; security; block chain; preventative framework.

DOI: 10.1504/IJESDF.2026.153328

International Journal of Electronic Security and Digital Forensics, 2026 Vol.18 No.3, pp.276 - 287

Received: 30 Sep 2023
Accepted: 21 Dec 2023
Published online: 01 May 2026 *

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