Research
Digital evidence at the intersection of cloud and connected systems.
Graduate research in Forensic Science at UNIFESSPA focused on forensic-ready systems, cloud-connected IoT, trustworthy logging, and evidence preservation.
Current research
Forensic-ready IoT logging for livestock traceability
My current research explores a forensic-ready IoT architecture for livestock traceability, with emphasis on preserving reliable event logs that can support later digital investigation.
The research connects edge devices, identification technologies, long-range communication, gateway infrastructure, local data storage, cloud services, and forensic evidence requirements.
The central forensic concern is not simply collecting operational data. The system should produce logs that are useful for reconstruction, integrity checking, attribution, digital evidence handling, and chain of custody.
Proposed technology path
From edge identification to cloud evidence workflows
ESP32 + RFID / Sensors
↓
LoRa
↓
Raspberry Pi Gateway
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MQTT + Local Database
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AWS IoT Core / ThingsBoard
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Forensic-ready logging and evidence analysis
Research perspective
My broader interests include cloud forensics, IoT forensics, forensic-ready infrastructure, digital evidence workflows, trustworthy logging, and the relationship between operational observability and forensic investigation.