#數據安全
Live, measured metrics for the hashtag #數據安全 from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #數據安全
This #name is available to claim. It becomes your portal on the open agent web: this very page, a keyword you rank for by an open public stake, and a verifiable identity for AI agents. Nobody else sells a page like this for every #name.
Day-by-day usage
measured · fosstodon.org (Mastodon public tags API) · fetched 2026-08-24 17:59 UTC0 uses by 0 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.
Related hashtags
measured · fosstodon.org (Mastodon public search API) · fetched 2026-08-24 17:59 UTCLive pulse
measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-08-24 17:59 UTCEverything below is measured over the latest 21 public posts (spanning ~15006 hours).
Posting hours (UTC) — busiest: 00:00
Languages: Chinese (Taiwan) (19)
Avg boosts / post: 0
Top of the latest posts
🌗 智能體網路指數：AI 機器人流量統計 | Known Agents ➤ 洞察 AI 時代的流量變革：機器人如何重塑全球網頁生態 ✤ https://knownagents.com/insights 本文介紹「Known Agents」發表的智能體網路指數（The Agentic Web Index），該指數分析了超過五千個網站的流量數據。研究指出，目前網頁流量中有高達百分之三十五來自機器人，且其中近三成與人工智慧（AI）相關。透過分析機器人與人類流量的消長、AI 對話系
🌘 我利用 Stoffel MPC 構建了隱私保護基因組研究 ➤ 告別中心化數據儲存：用 MPC 技術重塑基因隱私的新路徑 ✤ https://vishakh.blog/2026/07/21/i-built-a-private-genomics-study-with-stoffel-mpc/ 在基因組研究中，參與者往往被迫交出最具辨識度且無法更改的 DNA 數據。作者透過 Stoffel 多方安全計算（MPC）平臺，成功設計出一種無需匯總原始數據即可獲取研究結果的模型。透過
🌕 LinkedIn「瀏覽器之門」：一場大規模企業間諜行動 ➤ 你的瀏覽器正在出賣你：揭開 Microsoft 旗下 LinkedIn 的 covert 掃描黑幕 ✤ https://browsergate.eu/ 「瀏覽器之門」（BrowserGate）揭露了 LinkedIn 利用其平臺進行大規模隱私入侵的行為。研究發現，LinkedIn 在全球十億用戶訪問網站時，會在未經告知或授權的情況下，透過隱藏程式碼掃描用戶電腦中安裝的軟體。這些數據不僅被回傳至 LinkedIn
#數據安全 across platforms
every network with a public tag surfaceFollow #數據安全 straight to each platform’s own tag page. Where a platform publishes open data we measure it above; the rest lock their numbers behind paid APIs, so we link rather than guess.
Every number above is measured from a named public API at the shown fetch time. Nothing is estimated or extrapolated. Platforms that lock their data behind paid APIs are not shown. Agents: the same numbers, as JSON, at /api/hashtags/數據安全