Attribution Reporting API
Attribution Reporting API とは何ですか?
Attribution Reporting APIA Privacy Sandbox API in Chrome and Android that lets advertisers measure ad conversions across sites without cross-site identifiers, using browser-mediated, noise-injected event-level or aggregated reports.
The Attribution Reporting API (ARA) is the Privacy Sandbox mechanism for measuring ad-driven conversions without exposing cross-site identifiers. Sources (ad clicks or views) are registered on the publisher side; triggers (conversions) are registered on the advertiser side. The browser maintains the join between them locally and, at delayed and randomized intervals, sends one of two kinds of report. Event-level reports return a noisy, low-resolution mapping from a source event to a conversion event, suitable for click attribution. Aggregatable reports go through a separate Aggregation Service running in a trusted execution environment, which adds calibrated noise (differential privacy) before returning aggregate dashboards across many users. Both report types are designed to bound the cross-site information any caller can learn. ARA is one of the central pieces of the post-third-party-cookie measurement story and a focus of regulator attention (CMA, French CNIL, German DPAs). For ad-tech and measurement vendors, integrating ARA requires substantial backend changes for noise budgets, report aggregation, and trust-establishment with the Aggregation Service.
● 例
- 01
An advertiser registers click-trigger and conversion-trigger callbacks; Chrome delivers event-level reports days later, with noise to limit user-level inference.
- 02
A measurement vendor stands up an Aggregation Service in a TEE so that ARA aggregatable reports can be processed into campaign-level dashboards.
● よくある質問
Attribution Reporting API とは何ですか?
A Privacy Sandbox API in Chrome and Android that lets advertisers measure ad conversions across sites without cross-site identifiers, using browser-mediated, noise-injected event-level or aggregated reports. サイバーセキュリティの プライバシーとデータ保護 カテゴリに属します。
Attribution Reporting API とはどういう意味ですか?
A Privacy Sandbox API in Chrome and Android that lets advertisers measure ad conversions across sites without cross-site identifiers, using browser-mediated, noise-injected event-level or aggregated reports.
Attribution Reporting API はどのように機能しますか?
The Attribution Reporting API (ARA) is the Privacy Sandbox mechanism for measuring ad-driven conversions without exposing cross-site identifiers. Sources (ad clicks or views) are registered on the publisher side; triggers (conversions) are registered on the advertiser side. The browser maintains the join between them locally and, at delayed and randomized intervals, sends one of two kinds of report. Event-level reports return a noisy, low-resolution mapping from a source event to a conversion event, suitable for click attribution. Aggregatable reports go through a separate Aggregation Service running in a trusted execution environment, which adds calibrated noise (differential privacy) before returning aggregate dashboards across many users. Both report types are designed to bound the cross-site information any caller can learn. ARA is one of the central pieces of the post-third-party-cookie measurement story and a focus of regulator attention (CMA, French CNIL, German DPAs). For ad-tech and measurement vendors, integrating ARA requires substantial backend changes for noise budgets, report aggregation, and trust-establishment with the Aggregation Service.
Attribution Reporting API からどのように防御しますか?
Attribution Reporting API に対する防御は通常、上記の定義で述べたとおり、技術的統制と運用上の実践を組み合わせます。
Attribution Reporting API の別名は何ですか?
一般的な別名: ARA, Attribution Reporting。
● 関連用語
- privacy№ 960
Privacy Sandbox
Google's umbrella initiative for replacing third-party cookies and cross-site identifiers with privacy-preserving alternatives — Topics, Protected Audience (FLEDGE), Attribution Reporting, and on-device APIs — under heavy regulatory and competitor scrutiny.
- privacy№ 1286
Topics API
A Privacy Sandbox API in Chrome and Android that derives a small set of high-level interest topics from the user's recent browsing locally on the device, exposing them to participating sites instead of cross-site tracking identifiers.
- privacy№ 351
差分プライバシー
統計の公表やモデル学習に伴うプライバシー損失を数理的に定量化し、校正されたノイズを加えることで個人の寄与を証明可能な範囲内に抑える枠組み。
- privacy№ 1263
サードパーティ Cookie
ブラウザのアドレスバーのドメインとは異なるドメインから設定される Cookie で、歴史的にサイト横断のユーザー追跡に使われてきた。
- privacy№ 266
サイト横断トラッキング
無関係な複数のウェブサイトでのユーザー行動を結びつけ、長期的な行動プロファイルを構築する手法。
- cloud-security№ 1300
TEE(Trusted Execution Environment)
プロセッサ内の安全で隔離された実行環境。コードとデータは、ホスト OS やハイパーバイザーからも機密性・完全性が守られる。