Hi, I'm Eric 👋

Education & Achievement

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THE UNIVERSITY OF DANANG - UNIVERSITY OF SCIENCE AND TECHNOLOGY
Sep 2017 - May 2022
Information Technology Engineering Degree
I got introduced to programming in my freshman year at University of Danang - University of Science and Technology, where I completed my Information Technology Engineering Degree (2017-2022) with 3.14/4 score.
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Malware Spreading Model for Routers in Wi-Fi Networks
Jun 2022 - Jun 2022
IEEE Xplore
Research Paper
Malware attacks have become very common in recent years. The variety and continuous improvement of malware capabilities threaten any network. Wi-Fi is also not an exception in that context. This paper proposes a model describing the spreading of malware in Wi-Fi networks using an epidemiological mathematical model. This model is built on the characteristics of encryption and authentication in Wi-Fi networks. In addition, we also consider state transitions of devices based on some assumptions about modern malware capabilities. We calculate the basic reproduction number R0 and thereby indicate the condition to limit the spread of malware. This spreading model is analyzed through numerical simulation. Besides, for the readers to have an overview of the main threats and the security capabilities of the Wi-Fi devices, we also briefly present security threats and encryption methods used in Wi-Fi.
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A Behavior-Based Malware Spreading Model for Vehicle-to-Vehicle
Sep 2021 - Sep 2021
IEEE Xplore
Research Paper
Network attacking using malware has become very popular on the Internet and in many other networks, namely Vehicular Ad-hoc Network (VANET) networks. It is required to have the model describing the malware spreading based on factors, which directly affect this process to limit its influences. In this paper, we propose a mathematical model called SEIR-S (Susceptible–Exposed–Infectious–Recovered–Susceptible) based on the characteristics of the VANET network and the well-known disease-spreading model SIR (Susceptible–Infectious–Recovered). We take into account possible behaviors of malware and provide the corresponding states to vehicles: Susceptible (S), Exposed (E), Infectious (I), Recovered (R). We evaluate the basic reproduction number 𝑹0 of the model and perform a stability analysis of the proposed model. The results show that, when 𝑹0 < 1, the malware spreading will gradually decrease, and, when 𝑹0 > 1, that spreading cannot be extinguished. We also point out the condition that we can control the endemic in the VANET network. In addition, the correctness of the proposed model is verified using both numerical analysis and agent-based simulation on NetLogo.
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Blockchain-Driven Hybrid Model for IoT Authentication
Apr 2023 - Apr 2023
Springer nature link
Research Paper
The Internet of Things has the potential to play a significant part in the ongoing Industrial Revolution. Machines, devices, and sensors are able to connect and communicate with each other via networks. These Internet of Things devices generate an enormous amount of data that is sensitive to privacy and security. For this reason, the security of these devices is of the utmost importance to guarantee the system’s reliability and efficiency. It has been suggested that one efficient way to increase the safety of authentication for Internet of Things networks is to use blockchain technology for the purpose of authenticating users and devices on those networks. The purpose of this study is to conduct research and make a proposal for a blockchain-driven hybrid model for the Internet of Things authentication. This model is intended to be an improvement based on previously developed models and has shown promising results on the Ganache blockchain.