IIARD International Institute of Academic Research and Development

WORLD JOURNAL OF INNOVATION AND MODERN TECHNOLOGY (WJIMT )

E-ISSN 2504-4766
P-ISSN 2682-5910
VOL. 8 NO. 6 2024
DOI: 10.56201/wjimt.v8.no6.2024.pg14.26

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An Innovative Intelligent Agent-Based Antimalware Model for the Protection of Systems Against Malware (RANSOMWARE)

Ifeose Justin Nkechukwuaga, Okeke C. Ogochukwu

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Abstract

Ransomware is a rapidly evolving cybersecurity threat that encrypts data and demands payment, causing significant financial and operational damage worldwide. Traditional antimalware solutions often fail to detect and mitigate advanced ransomware attacks due to their reliance on signature-based detection methods. This research presents an innovative intelligent agent-based antimalware model that leverages machine learning and behavioral analysis to provide a proactive defense against ransomware. The proposed model employs intelligent agents that continuously monitor system processes and identify anomalies indicative of ransomware activity. It features a Behavioral Analysis Module to detect suspicious activities, such as rapid file encryption or unauthorized data access, and a Machine Learning Engine that adapts to new ransomware variants by updating threat models dynamically. The system also includes an automated Response Module that isolates infected systems, prevents further spread, and restores compromised data from secure backups. This research involved designing, implementing, and testing the model in a controlled environment using simulated ransomware attacks. The results demonstrated a high detection rate of 95% with a low false-positive rate of 3%. Compared to traditional solutions, the model achieved faster detection and response times, effectively neutralizing threats before significant damage occurred. The study highlights the system's adaptability, efficiency, and potential to significantly enhance ransomware protection. This work contributes to the advancement of antimalware technologies by offering a scalable, intelligent solution to combat ransomware. Future developments will focus on refining the system for broader deployment, improving resource efficiency, and integrating it into comprehensive cybersecurity frameworks.

keywords:

Ransomware, Agent-Based Model, Agents, Adaptation, Resilience

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