Enhancing Cyber-Resilience for Small and Medium-Sized Organizations with Prescriptive Malware Analysis, Detection and...

Area of Science:

• Computer Science
• Cybersecurity
• Information Technology

Background:

• Small and medium-sized organizations (SMEs) face significant cybersecurity challenges.
• Existing solutions may not adequately address the evolving threat landscape for SMEs.
• There is a need for practical, scalable, and cost-effective cyber-resilience strategies for SMEs.

Purpose of the Study:

• To investigate and propose a methodology for enhancing cyber-resilience in SMEs.
• To develop a comprehensive solution for detecting and responding to emerging cyber threats using open-source tools.
• To demonstrate the effectiveness of the proposed approach in improving SMEs' cyber-defense capabilities.

Main Methods:

• Development of a system leveraging open-source solutions for SMEs (up to 250 employees).
• Implementation of prescriptive malware analysis, detection, and response techniques.
• Utilization of efficient algorithms for anomaly detection, safety, and security, including machine learning and behavior-based analysis.
• Integration of real-time threat intelligence feeds.

Main Results:

• Demonstrated effectiveness in enhancing SMEs' cyber-defense capabilities and cyber-resilience.
• Successful identification of new and emerging threats often missed by traditional security measures.
• Significant improvements in malware detection rates through advanced analysis and anomaly detection.
• Validation using real-world datasets and scenarios confirmed the system's efficacy.

Conclusions:

• Open-source resources offer a practical and scalable approach to address SME cybersecurity challenges.
• The proposed system, utilizing containerized applications, is readily deployable for SMEs.
• The methodology significantly bolsters SMEs' ability to detect and respond to sophisticated cyber threats.
• The study highlights the potential of advanced, accessible technologies for improving organizational security posture.