SNSSQS

Secure Networked Sensor Subsystem and Querying Service (SNSSQS) is a framework for secure data collection, storage, and query processing across distributed sensor networks. It emphasizes data integrity, confidentiality, and auditability while supporting scalable deployment in IoT, smart city, and environmental monitoring contexts.

SNSSQS is built from four core elements. The sensing layer collects data from diverse devices and applies lightweight integrity checks. The edge and aggregation layer performs local preprocessing and secure aggregation to minimize exposure of raw data. The transport and query layers provide authenticated communication and support secure, auditable queries using cryptographic techniques and access controls. The governance layer defines policy, provenance, and compliance mechanisms, and supports audit trails via distributed ledgers or tamper-evident logs.

The architecture is modular and supports both centralized and decentralized deployment models. Standardized interfaces enable interoperability among heterogeneous devices and services, while modular cryptographic primitives—such as encryption, secure multiparty computation, differential privacy, and attestation—address confidentiality, privacy, and integrity requirements. Some deployments integrate blockchain-like ledgers for immutable provenance.

Security and privacy considerations are central to SNSSQS. Threats include eavesdropping, tampering, spoofing, replay, and Sybil attacks. Countermeasures include mutual authentication, end-to-end encryption, secure aggregation, attestation, access control, and privacy-preserving query processing. Trade-offs exist between security, latency, and energy use, and practical implementations emphasize careful threat modeling and workload-aware optimization.

Applications include environmental sensing, industrial IoT, smart cities, and disaster-response networks. Evaluation focuses on data integrity, query latency, throughput, energy efficiency, and system resilience under node churn. SNSSQS is described in theoretical literature and in pilot studies as a reference model for secure sensor data management.