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

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  • 1Faculty of Electrical Engineering and Computer Science, "Transilvania" University of Brasov, 500036 Brasov, Romania.

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This study introduces an open-source solution for small and medium-sized organizations (SMEs) to enhance cyber-resilience. The system uses advanced malware analysis and anomaly detection to effectively identify and respond to emerging cyber threats.

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AETsAPTsC&CMaaSSMEsadvanced malware analysisbotnetsexploit kitsfileless malwarememory-based attacksobfuscationpolymorphic malwareprescriptiveransomwarerootkitssandbox evasionzero-day exploits

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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.