Amplifying Threats: The Role of Multi-Sender Coordination in SMS-Timing-Based Location...
summary
Systematic experiments use three synchronized SMS senders, collect over 260,000 SMS, and extract per-sender timing plus fused statistical features to train a multilayer perceptron for location classification. Multi-sender fusion and new pairwise statistics boost accuracy compared to single-sender baselines, reaching up to 142% improvement for four-location classes in two field clusters (Netherlands ~130 km apart and Germany ~10 km apart). Work uses silent SMS and suggests operator-side mitigations such as delivery-report randomization and silent-SMS filtering.
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chapters (9)
- 0:00SMS-based location inference
- 2:56SMS timing reveals location
- 6:05Multi-sender attack setup
- 10:18Data collection and features
- 12:02Classification accuracy
- 15:14Combining sender data
- 17:45Multi-center statistical features
- 19:30Countermeasures and prevention
- 20:10Conclusion
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