TITLE
STUDY OF EXISTING SOLUTIONS FOR NETWORK TRAFFIC ANALYSIS
AUTHOR(S)
Viktoria Ivova Ivanova
ABSTRACT
Network traffic analysis (NTA) is a foundational process critical for ensuring cybersecurity, optimizing perfor- mance and enabling efficient troubleshooting across modern hybrid and cloud infrastructures. The shift towards distributed architecture makes comprehensive network visibility a paramount concern, as traffic remains the sole undeniable source of truth regarding network operations. This report conducts an in-depth study of the three primary NTA solutions based on their network analysis methodologies: deep packet inspection (DPI) tools, flow-based analyzers and modern AI-driven network detection and response (NDR) systems. The evaluation of the NTA solutions is uniquely structured around four industry-recognized criteria: forensic depth, scalability, Zero-Day detection efficiency and total cost of ownership (TCO). The study indicates that there isn’t a single solution that is universally effective, as each excels in a specific situation. The report concludes that an optimal strategy for contemporary security operations requires a synergistic, complex approach combining all three existing solutions. The originality of the study lies in bridging technical evaluation with strategic integration, guiding adoption of hybrid NTA solutions.
DOI
How to cite this article:
Viktoria Ivova Ivanova, STUDY OF EXISTING SOLUTIONS FOR NETWORK TRAFFIC ANALYSIS, UNITECH – SELECTED PAPERS - 2025