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.
Complete Metadata
| bureauCode |
[ "026:00" ] |
|---|---|
| identifier | DASHLINK_539 |
| issued | 2012-02-26 |
| landingPage | https://c3.nasa.gov/dashlink/resources/539/ |
| programCode |
[ "026:029" ] |
