Deterministic Foundations for Mission-Critical Computing
Exploidus engineers zero-allocation state estimation, line-rate eBPF cyber defense, and deterministic kernel scheduling for aerospace, defense, and sovereign cloud infrastructure. Built from first principles in memory-safe Rust.
Engineered For Sovereign Reliability
Exploidus unifies deterministic guidance algorithms, kernel-level execution scheduling, and line-rate hardware network defense into a resilient foundation for defense and enterprise.
Aegis-Filter Core
High-integrity state estimation engine implementing Unscented Kalman Filtering (UKF), continuous-discrete extended filters, and Joseph-form covariance stabilization. Engineered specifically for Edge AI robotics, supersonic UAV guidance, LEO satellite attitude control, 8KHz ultra-high-frequency sensor smoothing, and low-latency algorithmic systems.
- Zero-Heap Allocation: Guarantees zero runtime memory allocations and zero page faults in critical flight loops.
- Joseph Covariance Stabilization: Mathematically guarantees positive semi-definiteness even with round-off errors.
- Multi-Sensor FDIR: Real-time Fault Detection, Isolation, and Recovery with consecutive anomaly thresholding.
cargo add aegis-filter --no-default-features
scx_intent BPF
Pure in-kernel eBPF CPU scheduler designed for sched-ext (Linux 6.12+ and 7.4+). Dynamically categorizes tasks into 5 dedicated Dispatch Queues: Audit, Interactive, IO, Network, and Compute—eliminating priority inversion and micro-stuttering under saturated multi-core workloads.
- Dedicated BPF DSQs with multi-tier starvation relief.
- Sub-microsecond task dispatch with zero user-space latency.
- CachyOS and high-performance gaming/simulation tuned.
scx_intent --interactive-boost --anti-starve
XDP-Guard Ingress
High-performance eBPF/XDP network defense engine operating directly at the NIC driver DMA layer. Drops multi-gigabit SYN floods, UDP reflection amplification, and malicious malformed payloads before socket memory allocation occurs.
- Line-rate XDP_DROP at hardware wire-speed (<100 ns).
- Native Prometheus metrics exporter & Grafana dashboard.
- Kubernetes DaemonSet with automated Helm deployment.
xdp-guard --iface eth0 --mode drv --rules /etc/xdp/
HuddleCluster
Inspired by the thermal equilibrium physics of emperor penguin huddles. Dynamically redistributes high-frequency workloads, evicts thermally saturated compute nodes, and ensures zero-downtime clustering without a single point of failure.
- Biomimetic core temperature redistribution algorithms.
- Self-healing cluster mesh with instant gossip topology.
- Officially published on PyPI with open DOI scientific paper.
pip install huddlecluster
CNSL Intelligence
Memory-safe intrusion detection and security log audit brain. Performs deep syscall introspection, network packet anomaly correlation, and automated attack blast-radius calculation for sovereign infrastructure environments.
- Real-time correlation across millions of security events.
- Rust-powered memory safety with zero GC overhead.
- Native automated triage hooks for instant IP isolation.
cnsl --analyze --strict-audit --threat-db /var/cnsl/
The Unified Exploidus Pipeline
How Exploidus modules integrate from the physical network wire up to autonomous aerospace control loops. Click any tier to inspect its technical specification.
XDP-Guard
NIC Driver DMA hook. Filters 100Gbps SYN/UDP floods in under 100ns.
HuddleCluster
Thermal equilibrium balancing. Distributes load across healthy node topology.
scx_intent
Preemptive eBPF scheduling across 5 DSQs. Zero starvation on critical threads.
Aegis-Filter
4.07 ns zero-allocation Kalman/UKF. Guarantees deterministic state convergence.
• Hook location: XDP_DRV (Direct Network Interface Card DMA buffer)
• Action: Evaluates SYN cookies, ACK flood patterns, and reflection signatures via eBPF BPF_MAP_TYPE_LRU_HASH.
• Return: Emits XDP_DROP instantly, preventing Linux sk_buff memory allocations under volumetric attack.
Bio-Mimetic Load Balancing Under Extreme Thermal Constraints
Authored by Rahad Bhuiya, this research presents an adaptive mathematical model for node clustering based on thermodynamics in extreme environments. Registered with a permanent Digital Object Identifier (DOI) on Zenodo and indexed across global scholarly databases.
author = {Bhuiya, Rahad},
title = {HuddleCluster: Bio-Mimetic Balancer},
doi = {10.5281/zenodo.16912386},
year = {2026}
}
Open Core & Commercial Pilots
We provide permissive open-source foundations alongside bespoke engineering, mission certifications, and dedicated enterprise SLAs.
Open Core
For independent researchers, systems engineers, and open-source contributors.
- Permissive MIT & Apache 2.0 licenses
- Full access to public GitHub repositories
- Standard community issue tracker & Discord
- Public benchmarks & documentation
Enterprise Fleet
For data centers, cloud providers, and mission-critical network operators.
- High-availability 24/7 SLA & incident triage
- Custom eBPF packet mitigation & telemetry rulesets
- Enterprise multi-cluster Helm & K8s integration
- Custom Linux kernel patches & CachyOS optimizations
Mission GNC
For aerospace contractors, defense agencies, and autonomous robotics fleets.
- Custom DO-178C / ISO 26262 verification artifacts
- NASA F Prime framework integration & avionics tailoring
- Hardware-in-the-Loop (HIL) state estimation tuning
- Direct Principal Architect consulting & advisory
Rahad Bhuiya
Low-level systems programmer, kernel developer, and eBPF researcher. Dedicated to building sovereign computing infrastructure from the silicon up—where memory safety is non-negotiable and deterministic execution is mathematically proven. Contributor to Linux kernel sched-ext ecosystem, author of published peer-reviewed distributed algorithms, and designer of the Aegis-Filter aerospace state estimation engine.