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defense / digital forensics · nov 2023 – ongoing · active

Cyber Defense, Intelligence & Digital Forensics for UAV/UGV/USV

Integrated security framework covering cyber defense, intelligence/counterintelligence, and digital forensics for unmanned aerial, ground, and sea vehicles.

Digital ForensicsCyber DefenseIntelligenceSecure Comms

Overview

A comprehensive security framework addressing the unique challenges of unmanned systems across domains — aerial (UAV), ground (UGV), and sea (USV). Covers prevention, detection, incident response, and post-incident forensic analysis.

Threat Model

Unmanned platforms introduce a distinctive attack surface rooted in their reliance on continuous, low-latency command-and-control (C2) links and sensor fusion pipelines. Key attack vectors include:

  • GPS spoofing and jamming — adversaries inject counterfeit satellite signals to manipulate navigation or force a flyaway/return-to-home that steers the platform into hostile territory. Civilian GPS bands are unauthenticated, making this trivially exploitable without cryptographic countermeasures.
  • C2 link hijacking — RF interception and replay of control packets enables de-authentication attacks, session takeover, or arbitrary command injection. Protocols lacking mutual authentication (e.g., plain MAVLink v1) are particularly vulnerable.
  • MAVLink injection — crafted messages injected into the telemetry stream can override flight modes, modify geofence boundaries, or disable safety pilots mid-mission. MAVLink v2 introduces signing but adoption remains inconsistent across platforms.
  • Sensor tampering — IMU, barometer, and optical-flow sensors are susceptible to acoustic, optical, and electromagnetic interference that silently degrades state estimates, potentially inducing loss of control.
  • Physical / supply-chain threats — compromised firmware at the board level, backdoored ground control stations, or tampered battery management systems can undermine integrity below the software stack.

Secure Communications

Defense begins with layered cryptographic protection of the C2 channel:

  • Mutual TLS (mTLS) between ground control station (GCS) and autopilot, using hardware-backed key stores (e.g., TPM/HSM) to prevent credential extraction. Short-lived session keys derived via ECDH (Curve25519) with perfect forward secrecy.
  • MAVLink v2 signing with rotating 32-byte secret keys, tied to a per-link sequence number to prevent replay. All unsigned or invalid messages are silently dropped at the receiver.
  • Frequency-hopping spread spectrum (FHSS) on the radio layer to resist narrowband jamming and detection. Adaptive hopping patterns negotiated during initial link handshake provide resilience against reactive jammers.
  • Anti-jamming waveform design — direct-sequence spread spectrum (DSSS) with processing gain > 20 dB for control links, combined with time-diversity retransmission and forward error correction (FEC) to maintain link integrity under high interference.
  • LPI / LPD — low probability of intercept and detection via spread spectrum and minimal duty-cycle burst transmissions, reducing the platform’s RF signature during covert operations.

Defense Layers

A defense-in-depth model tailored to unmanned systems spans four layers:

  • Perimeter security — RF spectrum monitoring and anomaly detection at launch/recovery zones; whitelist-based airspace enforcement; active geofencing with tamper-proof boundary enforcement on the autopilot.
  • Network security — segmented onboard networks separating flight-critical (autopilot, actuators) from non-critical (payload, telemetry) subsystems. Strict firewall rules at the mission computer bridge; no inbound connections from external networks.
  • Host security — immutable firmware with signed boot chains (UEFI Secure Boot / OPTEE), read-only root filesystem, and mandatory access control (AppArmor / SELinux) on the companion computer. Runtime memory integrity checks detect tampering mid-mission.
  • Application security — sandboxed GCS and mission planning software; strict input validation on MAVLink parsers; fuzzing-validated protocol stacks to eliminate memory corruption vulnerabilities before deployment.

Digital Forensics

Forensic procedures for unmanned systems must account for non-standard data sources and fragile storage:

  • Evidence collection — physical acquisition of SD cards, EMMC, and SPI flash (autopilot logs); capture of GCS telemetry databases and RF-side recordings (IQ samples). All media imaged with hardware write-blockers and hashed (SHA-256 / SHA-512) at collection time.
  • Flight log analysis — structured examination of .bin/.log (PX4 / ArduPilot), DAT, and TLOG files. Timeline reconstruction of sensor readings, actuator commands, and GPS position fixes to identify anomalies (sudden yaw offsets, waypoint skips, control surface reversals) indicative of compromise.
  • Crash reconstruction — fusion of last-known GPS track, IMU history, barometric altitude, and airspeed (or water speed) into a 6-DOF trajectory model. Correlated with terrain elevation data to compute impact point and energy — critical for failure attribution and liability assessment.
  • Non-volatile memory carving — extraction of deleted or overwritten mission waypoints, geofence polygons, and configuration parameters from flash sectors before garbage collection reclaims them.

Incident Response

Cyber-physical attacks on unmanned systems demand playbooks that balance security with platform safety:

  • Containment actions — immediate frequency hop to backup channel (if C2 integrity is suspect); forced return-to-launch (RTL) with minimal sensor dependence; actuator override to manual mode if autonomy is compromised.
  • Mission abort criteria — pre-defined decision triggers: loss of authenticated C2 for > 5 seconds, divergence from cleared airspace by > 50 m, IMU fault warnings correlated with jamming detection. Abort sequence includes controlled descent or water landing (USV: station-keeping drift).
  • Recovery procedures — post-incident ground checks for firmware integrity (hash verification against known-good builds), physical inspection of flight controller for tamper evidence, and full log exfiltration before any reboot.
  • Coordination — incident notification chain linking platform operator, safety pilot, airspace authority, and forensic team; radio silence protocol to preserve RF evidence.

Intelligence

Signals intelligence and threat actor profiling complement the technical defenses:

  • SIGINT collection — passive monitoring of known drone C2 bands (ISM 2.4 / 5.8 GHz, LoRa 868 / 915 MHz, LTE) to fingerprint adversary transmitters, decode non-standard protocol framing, and catalog jammer signatures.
  • Threat actor profiling — mapping observed tactics, techniques, and procedures (TTPs) to known drone-specific campaigns (e.g., GPS spoofing incidents along border corridors, MAVLink injection tools in open-source repositories). Attribution models leverage RF geolocation and C2 protocol fingerprinting.
  • Counterintelligence — deception-based countermeasures including fake C2 channels (honeypot ground stations) and injected telemetry decoys to waste adversary resources and reveal reconnaissance activity.

Key Contributions

  • Designed secure communication protocols resistant to interception and jamming
  • Developed threat model specific to autonomous vehicle command and control channels
  • Built incident response playbooks for cyber-physical attacks on unmanned platforms
  • Created digital forensic procedures for evidence preservation and analysis post-compromise
  • Integrated training and awareness components for operator security hygiene

Impact

Provides a holistic security reference for organizations deploying unmanned systems in defense and critical infrastructure contexts.