Author Login IJIRT Partner Network (IPN) Login

Threat-Eye: Early Malware Detection via Spatiotemporal Pattern Analysis

  • Unique Paper ID: 174212
  • Volume: 11
  • Issue: 10
  • PageNo: 3101-3111
  • Abstract:
  • Traditional cybersecurity techniques including behavior-based approaches, heuristic analysis, and signature-based detection are seriously challenged by the growing sophistication of malware. These traditional systems have trouble identifying new threats, including advanced persistent threats (APTs), polymorphic malware, and zero-day exploits. In today's constantly-changing cyber threat scenario, proactive, flexible, and scalable malware detection solutions are more important than ever. This study presents THREAT-EYE, a novel early detection approach that uses aberrant spatiotemporal patterns in system logs, network traffic, and user activity to identify malware activities. Through the use of anomaly detection algorithms and machine learning techniques, THREAT-EYE detects minute departures from typical behaviour in both temporal and geographical dimensions, allowing it to identify complex threats that conventional methods frequently overlook. Fundamentally, THREAT-EYE uses a mix of deep learning models and ensemble approaches that continuously pick up patterns of typical behaviour. It can identify anomalies that point to hostile activity, like data exfiltration, lateral network movement, and command-and-control interactions, thanks to this learning process. Because THREAT-EYE relies on anomaly detection rather than signature-based techniques, it can detect new malware variants without being aware of particular signatures beforehand. Because it adjusts its models to take into consideration modifications in user behaviour, network traffic, and virus tactics, the framework's adaptability guarantees its efficacy in dynamic contexts. It is an effective tool for early malware detection because of its scalability in a variety of scenarios and capacity to identify anomalies across several domains.
Download article email to a friend

Cite This Article

  • ISSN: 2349-6002
  • Volume: 11
  • Issue: 10
  • PageNo: 3101-3111

Threat-Eye: Early Malware Detection via Spatiotemporal Pattern Analysis

Related Articles

Impact Factor
8.01 (Year 2024)
UGC Approved
Journal no 47859

Join Our IPN

IJIRT Partner Network

Submit your research paper and those of your network (friends, colleagues, or peers) through your IPN account, and receive 800 INR for each paper that gets published.

Join Now

Latest Publication

Archive

View More

Recent Conferences

NCSEM 2024

National Conference on Sustainable Engineering and Management - 2024 Last Date: 15th March 2024

Submit inquiry