Malware Detection and Analysis: Challenges and Research Opportunities
Zahid Akhtar

TL;DR
This paper reviews the evolving landscape of malware, discusses current anti-malware techniques, and highlights ongoing challenges and research opportunities in detecting unknown malware samples.
Contribution
It provides a comprehensive overview of malware challenges and outlines future research directions, complementing existing literature with a theoretical perspective.
Findings
Malware sophistication continues to increase.
Detection of unknown malware remains a key challenge.
Theoretical insights guide future research in anti-malware methods.
Abstract
Malwares are continuously growing in sophistication and numbers. Over the last decade, remarkable progress has been achieved in anti-malware mechanisms. However, several pressing issues (e.g., unknown malware samples detection) still need to be addressed adequately. This article first presents a concise overview of malware along with anti-malware and then summarizes various research challenges. This is a theoretical and perspective article that is hoped to complement earlier articles and works.
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Taxonomy
TopicsAdvanced Malware Detection Techniques · Network Security and Intrusion Detection · Software Testing and Debugging Techniques
