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A new method for detecting i2c/SPI vulnerabilities in IOT devices based on Ai Neuro Symbolic framework.

Design and implementation of a black-box testing system for IoT devices to improve security and simplify device testing.

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A cybersecurity IoT system for black box testing simulates real-world attacks on IoT devices with no internal knowledge, focusing on identifying vulnerabilities in device hardware, software, and network communication by mimicking external attackers, using tools for scanning (ports, services), firmware analysis (firmware extraction, reverse engineering), and network sniffing to uncover weaknesses like default credentials, insecure protocols, and data leaks, ultimately building trust and improving security posture.

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