Theoretically Optimal Distributed Anomaly Detection
A novel general framework for distributed anomaly detection with theoretical performance guarantees is proposed. Our algorithmic approach combines existing anomaly detection procedures with a novel method for computing global statistics using local sufficient statistics. Under a Gaussian assumption, our distributed algorithm is guaranteed to perform as well as its centralized counterpart, a condition we call Ôzero information lossÕ. We further report experimental results on synthetic as well as real-world data to demonstrate the viability of our approach.
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Complete Metadata
| @type | dcat:Dataset |
|---|---|
| accessLevel | public |
| accrualPeriodicity | irregular |
| bureauCode |
[ "026:00" ] |
| contactPoint |
{ "fn": "Nikunj Oza", "@type": "vcard:Contact", "hasEmail": "mailto:Nikunj.C.Oza@nasa.gov" } |
| description | A novel general framework for distributed anomaly detection with theoretical performance guarantees is proposed. Our algorithmic approach combines existing anomaly detection procedures with a novel method for computing global statistics using local sufficient statistics. Under a Gaussian assumption, our distributed algorithm is guaranteed to perform as well as its centralized counterpart, a condition we call Ôzero information lossÕ. We further report experimental results on synthetic as well as real-world data to demonstrate the viability of our approach. |
| distribution |
[ { "@type": "dcat:Distribution", "title": "lasr09.pdf", "format": "PDF", "mediaType": "application/pdf", "description": "lasr09.pdf", "downloadURL": "https://c3.nasa.gov/dashlink/static/media/publication/lasr09.pdf" } ] |
| identifier | DASHLINK_539 |
| issued | 2012-02-26 |
| keyword |
[ "ames", "dashlink", "nasa" ] |
| landingPage | https://c3.nasa.gov/dashlink/resources/539/ |
| modified | 2025-03-31 |
| programCode |
[ "026:029" ] |
| publisher |
{ "name": "Dashlink", "@type": "org:Organization" } |
| title | Theoretically Optimal Distributed Anomaly Detection |
