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Introduction
I have a strong research background in cybersecurity and AI, with multiple IEEE conference publications, including a Best Paper Award for my work on deepfake detection using advanced CNN and ensemble methods. My research also covers email phishing detection, where I introduced a unified ensemble approach to enhance security. Through these projects, I aim to develop effective AI-driven solutions to address critical cybersecurity challenges.
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Publications
Publications (4)
With the ever-rising risk of phishing attacks, which capitalize on vulnerable human behavior in the contemporary digital space, requires new cybersecurity methods. This literary work contributes to the solution by novel incorporation of three techniques: Support Vector Machine (SVM), Natural Language Processing (NLP) and Random Forest (RF). Utilizi...
Several newly developed techniques and tools for manipulating images, audio, and videos have been introduced as an outcome of the recent and rapid breakthroughs in AI, machine learning, and deep learning. While most applications for these techniques or tools are in the fields of entertainment and education, some individuals with unlawful intent hav...
The extensive spread of DeepFake images on the internet has emerged as a significant challenge, with applications ranging from harmless entertainment to harmful acts like blackmail, misinformation, and spreading false propaganda. To tackle this issue, this paper introduces a sophisticated DeepFake detection model designed to identify and mitigate t...
This comprehensive literature review meticulously examines the rapid advancements in infrastructure devices, particularly routers and firewall services, spanning from 2020 to 2024. By synthesizing a diverse range of findings from peer-reviewed articles, the review highlights significant technological advancements, operational challenges, and antici...
