ndss-experiments
Use when designing or auditing the evaluation of an NDSS paper — attack demonstrations, defense evaluations under adaptive adversaries, and Internet measurements — choosing between testbed, emulation, and live experiments and meeting NDSS's deployment-realism evidence bar.
npx skills add brycewang-stanford/Awesome-Journal-Skills --skill ndss-experiments --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# NDSS Experiments Evidence at NDSS answers one question: *would this hold on the real network?* Every design choice in the evaluation — target selection, vantage, scale, baseline — either supports that answer or advertises that you avoided it. ## Evidence by contribution type | You claim... | Reviewers require... | Weak substitute they will flag | | --- | --- | --- | | A new attack | End-to-end demonstration on real implementations, named versions, measured preconditions and cost | PoC against a config you weakened | | A prevalent condition | Defined population, sampling method, validated vulnerability test, false-positive analysis | Extrapolation from anecdotes | | A defense | Security *and* utility: adaptive-adversary evaluation + overhead on realistic workloads | Blocking only the published attack | | A detection system | Base-rate honest metrics on traffic resembling deployment, drift discussion | Accuracy on one stale benchmark | | A protocol change | Interop and incremental-deployment story, behavior under partial adoption | "Assume everyone upgrades" | ## Choosing the experimental substrate Match the substrate to the claim, and say why in the paper: - **Live Internet** — th
- Evidence by contribution type
- Choosing the experimental substrate
- The adaptive-adversary requirement
- Measurement hygiene
- Ethics as an experimental parameter
- Reporting discipline
- Failure modes this venue punishes
- Output format
What does the ndss-experiments skill do?
Use when designing or auditing the evaluation of an NDSS paper — attack demonstrations, defense evaluations under adaptive adversaries, and Internet measurements — choosing between testbed, emulation, and live experiments and meeting NDSS's deployment-realism evidence bar.
How do I install it?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill ndss-experiments --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From brycewang-stanford/Awesome-Journal-Skills, a repository with 909 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.