reddit • r/cybersecurity
How should TP/FP/TN/FN be calculated for Snort when alerts don’t correspond 1:1 with packets?
How should TP/FP/TN/FN be calculated for Snort when alerts don’t correspond 1:1 with packets?
🔥 Score 42.3
SnortScore: Alert‑Packet Correlation Suite
Security teams struggle to derive true‑positive, false‑positive, true‑negative and false‑negative rates because Snort alerts rarely map one‑to‑one with individual packets, leading to misleading performance reports. SnortScore automatically correlates alerts with the underlying traffic, normalizes event granularity, and delivers precise TP/FP/TN/FN metrics in real‑time dashboards and API feeds.
Quantitative Score Breakdown
complaint frequency
1.5
growth rate
9
competition density
10.5
monetization potential
9
technical feasibility
7.5
search interest
4.8
Evidence Signal (1)
Raw Complaint LogBUILDER BLUEPRINT
🛠️ How to Validate & Build This Opportunity
Recommended execution roadmap for "SnortScore: Alert‑Packet Correlation Suite"
1
Analyze Complaint Signals
Examine the 1 harvested raw posts to map specific feature complaints, workflow workarounds, and user friction points.
2
Scope Core MVP
Build a minimalist solution focused exclusively on solving "Security teams struggle to derive true‑positive, false‑positive, true‑negative and false‑negative rates becaus..." without feature bloat.
3
Engage Early Adopters
Directly engage users in subreddits and developer forums who expressed frustration to offer early access beta invites.
4
Monetize Market Gap
Introduce structured subscription pricing matching market urgency score (75%).
❓ Opportunity Validation FAQ
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