  In this paper, we propose a locally optimum detection (LOD) scheme for
detecting a weak radioactive source buried in background clutter. We develop a
decentralized algorithm, based on alternating direction method of multipliers
(ADMM), for implementing the proposed scheme in autonomous sensor networks.
Results show that algorithm performance approaches the centralized clairvoyant
detection algorithm in the low SNR regime, and exhibits excellent convergence
rate and scaling behavior (w.r.t. number of nodes). We also devise a
low-overhead, robust ADMM algorithm for Byzantine-resilient detection, and
demonstrate its robustness to data falsification attacks.
