Protect DSP data pipelines, algorithm intellectual property, signal intelligence outputs, and processing integrity against quantum computing threats. From PQC-encrypted inter-stage data streaming to AI-driven detection of quantum-era signal injection attacks.
ML-KEM + ML-DSA hybrid encryption for DSP data streams between processing stages ensures that intercepted pipeline data remains secure against future quantum decryption attacks.
Post-quantum ML-DSA signed firmware and algorithm updates for DSP cores prevent quantum-enabled tampering and ensure only authenticated processing algorithms are deployed.
Machine learning models trained to detect quantum-era signal injection patterns combined with PQC-secured classification pipelines for trusted signal processing integrity.
Modern DSP systems contain high-value intellectual property in their signal processing algorithms, and the processed intelligence data they produce represents critical classified output. Both are prime targets for quantum-enabled adversaries conducting harvest-now-decrypt-later campaigns.
Signal processing algorithm IP theft exposes proprietary detection, classification, and filtering techniques. Processed intelligence data interception compromises SIGINT, ELINT, and COMINT outputs that flow between DSP stages and downstream consumers over quantum-vulnerable encrypted links.
| Parameter | Value |
|---|---|
| Solutions Available | 4 quantum-safe solutions |
| FPGA Solutions | 3 (pipeline, SIGINT, AI-PQC) |
| Firmware & Platforms | 1 (algorithm updates) |
| AI-Integrated | 1 (signal anomaly detection) |
| ASIC Solutions | 0 |
| COTS Solutions | 0 |
| Standards | FIPS 203, 204, CNSA 2.0 |
| Migration Phase | 2025-2030 (hybrid first) |
| Solution | Type | Description |
|---|---|---|
| QS-DSP Data Pipeline Encryption | FPGA | PQC-encrypted DSP data streaming between processing stages with ML-KEM key encapsulation and ML-DSA authenticated pipelines |
| PQC-signed Algorithm Updates | Software | ML-DSA signed DSP algorithm and firmware updates ensuring only authenticated processing code is deployed to DSP cores |
| QS Signal Intelligence Protection | FPGA | PQC encryption for processed SIGINT output with quantum-safe key management for classified intelligence data streams |
| AI-PQC Signal Anomaly Detection | FPGA, Software | ML detection of quantum-era signal injection attacks with PQC-secured classification pipeline and anomaly reporting |
| Solution | Description |
|---|---|
| QS-DSP Data Pipeline Encryption | Synthesizable RTL core implementing ML-KEM-768 + ML-DSA-65 for PQC-encrypted inter-stage DSP data streaming. Supports high-throughput pipelined and low-latency streaming modes for real-time signal processing. |
| QS Signal Intelligence Protection | FPGA IP core providing quantum-safe encryption for processed SIGINT, ELINT, and COMINT output. Integrated ML-KEM key management with hardware-accelerated bulk encryption for classified intelligence streams. |
| AI-PQC Signal Anomaly Detection | Neural network inference engine detecting quantum-era signal injection patterns including manipulated waveforms, false signal insertion, and coordinated spoofing. All detection results are PQC-signed for chain-of-custody integrity. |
| Solution | Description |
|---|---|
| PQC-signed Algorithm Updates | Software SDK for ML-DSA signed DSP algorithm and firmware distribution. Provides end-to-end authenticated update pipelines with rollback protection, version attestation, and crypto-agile signature verification for deployed DSP cores. |
| Solution | Description |
|---|---|
| AI-PQC Signal Anomaly Detection | Machine learning model trained to detect quantum-era signal injection attacks including adversarial waveform manipulation, false signal insertion, coordinated multi-channel spoofing, and spectral anomalies. All classification results are PQC-signed for chain-of-custody integrity and secure downstream consumption. |
Choose the delivery model that matches your DSP and signal processing system integration requirements.
Complete source cores for integration into your DSP processing FPGA. Includes testbench, verification suite, and integration guides for all major FPGA families.
Pre-characterized for Xilinx UltraScale+, Intel Agilex, and Microchip PolarFire platforms. Guaranteed timing closure and performance for demanding DSP applications.
PQC-integrated software libraries and tools for DSP algorithm signing, secure update distribution, and anomaly detection model deployment across heterogeneous processing platforms.
Quantum-safe solutions that complement DSP and signal processing security.
Contact us for quantum vulnerability assessments, solution evaluations, or custom integration for your DSP and signal processing platforms.