Eee projects on fingerprint based electrical device authorization — Simulation & Power Modeling

Abstract — Eee projects on fingerprint based electrical device authorization

Eee Projects On Fingerprint Based Electrical Device Authorization: Power Electronics, MATLAB/Simulink & Circuit Modeling Integrated Analysis: MATLAB/Simulink · MOSFET/IGBT Gate Drivers · SPWM/SVPWM · THD Spectrum · ~13549 Words Chapter 1: Power Electronics Overview, System Specifications & Topology Modeling The identification of the devices from which a message is received is part of security mechanisms to ensure authentication in wireless communications. Conventional authentication approaches are cryptography-based, which, however, are usually computationally expensive and not adequate in the Internet of Things (IoT), where devices tend to be low-cost and with limited resources. This paper provides a comprehensive survey of physical layer-based device fingerprinting, which is an emerging device authentication for wireless security. In particular, this article focuses on hardware impairment-based identity authentication and channel features-based authentication. They are passive techniques that are readily applicable to legacy IoT devices. Their intrinsic hardware and channel features, algorithm design methodologies, application scenarios, and key research questions are extensively reviewed here. The remaining research challenges are discussed, and future work is suggested that can further enhance the physical layer-based device fingerprinting.

Analytical & State-Space Control Methodology

The Internet of Things (IoT)is expected to significantly impact our lifestyles. According to IoT Analytics, the number of connected devices reached to 18.8 billion in 2024, an increase of 13% from 2023 . These massively connected IoT devices have transformed our everyday lives with exciting applications such as smart homes, smart cities, connected healthcare, industry 4.0, etc. Wireless communications are preferred to connect these devices seamlessly. There have been (BLE), and narrowband IoT (NB-IoT), to name but a few .

Simulink Waveforms & Power Quality Findings

This revolution requires security at all levels. Security is quite a broad topic, involving confidentiality, integrity, availability, authentication, etc. [ 3 , 4 ] . This article will focus on device authentication, which is the first important step for network security. The receiver verifies the legitimacy of the received signal by checking specific features in the same signal. Our current computer and communications networks are protected by cryptography-based approaches, including both symmetric encryption, such as advanced encryption standard (AES), and public-key cryptography (PKC) such as Rivest-Shamir-Adleman (RSA). In particular, authentication is performed using a cryptographic challenge-response protocol based on symmetric encryption or PKC.

Scope & Practical Applications

• High-efficiency DC-DC converters and isolated resonant topologies (LLC / DAB)
• Sinusoidal and Space Vector PWM inverters for grid integration & industrial motor drives
• MOSFET / IGBT gate driver optimization with active Miller-clamp shoot-through protection
• Power quality conditioning with Total Harmonic Distortion (THD) strictly compliant with IEEE 519
• Complete Simscape .SLX model files, parameter calculation scripts, and IEEE dissertation reports