Quside for Secure Drone Architectures

Security starts below the algorithm

Drone security spans navigation, software, communications, identity and operations. Quside strengthens one foundational layer shared by many cryptographic controls: the quality and verifiability of the entropy used to generate cryptographic material.

Unmanned systems are becoming part of the operational infrastructure used across defense, critical infrastructure, energy, logistics, public safety and industrial environments. As their responsibilities increase, so does the need to treat cybersecurity as a system property rather than an add-on.

THE CHALLENGE 

A growing attack surface needs a layered security architecture

A modern drone is a connected computing platform. The aircraft, sensors, navigation systems, Command & Control (C2) link, ground station, software, wireless interfaces and fleet infrastructure create different attack surfaces and therefore require different controls. GNSS resilience, RF protection, secure software development, access control and cryptography each address different risks; no single technology secures the full system.

Where cryptography becomes foundational

Many high-value security functions depend on cryptographic material: authenticating a drone before it joins a mission, protecting C2 traffic, issuing device credentials, creating session keys, securing software-signing infrastructure and establishing trusted communications across a fleet. The algorithms and protocols matter, as does the quality of the random material used to create their keys and other cryptographic values.

The Quside Role:

Quside does not replace anti-jamming, anti-spoofing, secure boot, patch management or network-security controls. It strengthens the entropy layer that supports cryptographic key generation, identity and secure communications.

NIST SP 800-90B defines design and validation requirements for entropy sources used by Random Bit Generators. SP 800-90C, finalized in September 2025, defines RBG constructions that use SP 800-90B entropy sources together with deterministic random bit generator mechanisms.

From assumed randomness to observable entropy

Randomness is often consumed deep inside a technology stack, which makes it easy to treat its quality as an assumption. Quside generates entropy from physical quantum processes and applies Randomness Metrology to provide visibility into source quality. Through LOVE™ — Locally Verified Entropy — entropy can be treated as a measurable part of the security architecture rather than an opaque background resource.

DEPLOYMENT MODELS

Three ways to introduce locally verifiable entropy

1. Ground infrastructure and secure mission provisioning

For many drone deployments, the most direct integration point is the ground-based security infrastructure. Quside entropy can feed the systems responsible for generating or provisioning cryptographic material, improving control over key-generation entropy without requiring an entropy source inside every aircraft.

Relevant for device enrollment, mission key generation, PKI, centralized ground stations and security-sensitive deployments. Quside has a verified integration with Thales Luna HSMs for delivering SP 800-90B-compliant quantum-derived entropy into existing cryptographic infrastructure.

2. Local or embedded entropy

Where the platform architecture and qualification requirements permit, entropy generation can be brought closer to the cryptographic operations performed by the device. Quside Ruby™ chipsets provide compact semiconductor QRNG options for embedded designs.

• Ruby™ N1: up to 1 Gbit/s entropy generation, 5 × 5 mm² footprint, 0.3 W, NIST SP 800-90B certified.
• Ruby™ S1: 50 Mbit/s entropy generation, 5 × 4 mm² footprint, 2 mW, standard SPI interface, SP 800-90B compliant.

Suitability for a specific drone must be assessed against its environmental, certification, interface, SWaP and system requirements.

3. Fleet-level entropy infrastructure

Large fleets may require entropy across multiple services, locations and applications. Quside Entropy Core provides standardized access to quantum-generated entropy through REST APIs, enabling a controlled source for fleet PKI, key management, provisioning and other applications without requiring every service to depend exclusively on its local entropy capabilities.

Cryptographic Deployment Methods

Randomizing & Hiding the RF Signal

Utilising all or a selection of these methods with injected entropy to ensure the security of in-flight communications.

1. An unpredictable hop/spread pattern means an eavesdropper without the entropy can’t follow or demodulate the link.
2. Whitened, spread energy sits near the noise floor is harder to distinguish from background RF noise.
3. An adversary can’t predict the next hop/window to jam, and fresh entropy each session defeats replay.

WHERE QUSIDE ADDS VALUE

Strengthening cryptographic trust across the drone lifecycle

Device identity
Unique device identities typically rely on cryptographic keys created during manufacturing or provisioning. Verifiable entropy strengthens the generation of that key material; secure storage, PKI and lifecycle controls complete the identity architecture.

Fleet authentication
As fleets grow, infrastructure and aircraft must determine which devices are authorized to participate. Quside can feed entropy into PKI, certificate and authentication infrastructure supporting those trust decisions.

Crypto-agility and PQC migration
Moving to post-quantum algorithms changes cryptographic mechanisms, but it does not remove the need for appropriately generated random material. A strong entropy layer can remain part of the architecture as algorithms evolve.

Key lifecycle
New missions, device enrollment, rotation, revocation events and cryptographic reseeding can create ongoing demand for fresh random material. A controlled entropy source helps support that lifecycle at scale.

Secure communications
Encryption and authentication protocols require securely generated cryptographic material. Quside provides high-quality, observable entropy for the key-generation layer underneath those protocols.

DEFENSE IN DEPTH

Know which security control addresses which threat

Credible drone cybersecurity depends on mapping each threat to the appropriate countermeasure. Quside is a focused component of a broader defense-in-depth architecture: its contribution is strongest where secure identities, cryptographic keys, provisioning and communications depend on high-quality entropy.

A focused proposition:

Quside is not an end-to-end drone cybersecurity platform. It provides a stronger, measurable and verifiable entropy foundation on which secure drone identities, keys and communications can be built.

WHY QUSIDE

Build drone security from a foundation you can verify

Talk to Quside

If you are designing or reviewing the cryptographic architecture of a drone platform, autonomous fleet or supporting ground infrastructure, talk to Quside about where verifiable entropy can fit into your security model. quside.com/contact-sales/

Selected references

1. NIST SP 800-90B — Recommendation for the Entropy Sources Used for Random Bit Generation
2. NIST SP 800-90C — Recommendation for Random Bit Generator (RBG) Constructions
3. Quside Ruby™ N1 — QRNG Security Chipset
4. Quside Ruby™ S1 — QRNG Security Chipset
5. Quside Entropy Core
6. Quside + Thales Luna HSM integration

Note: Deployment models shown are architectural examples. Suitability for a specific UAS platform should be validated against system, environmental, regulatory and qualification requirements.