Parser of the industrial protocol S7 (S7comm) using Libpcap
HART communication through Profinet
Bare-metal security research, packet-level dissection, and detection engineering across OT/ICS industrial communication protocols. No high-level libraries.
Building a protocol-selected payload dataset from PCAP captures. The dataset is used in https://github.com/Moosa-Salehi/Variational-Autoencoder-Training
Load balancing service implemented in C++ using manual data structures, threads, semaphores, and critical sections. Developed as part of the Industrial Communication Protocols in Power Systems course.
A multi-stage pipeline for a Convolutional Beta Variational Autoencoder (Conv-βVAE) training for industrial traffic. This model is used in https://github.com/Moosa-Salehi/protocol_reverse_engineering
Safe legacy protocol translation via WASM sandboxing — Modbus TCP → MQTT with crash containment
LLM-Assisted pipeline for reverse-engineering undocumented protocols from PCAP captures. It normalizes messages, clusters payloads, infers framing/fields/relations/semantics, and outputs html/md reports.
Protocol adapters that publish directly to MQTT with units in topics
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