Scholarly Showcase: Exploring Advanced Solutions in Cybersecurity – Insights from NET-121's Research at NEW2AN 2023

March 12th, 2024, Dubai, United Arab Emirates: In the rapidly evolving domain of cybersecurity, students from Canadian University Dubai's (CUD) "Network Operating System" course, offered by the School of Engineering, Applied Science and Technology, have made significant contributions through their research presentations at the NEW2AN 2023 conference, held on December 21-22, 2023, by the American University in the Emirates (AUE). 

Two notable papers emerged from this academic endeavor, each offering innovative solutions to pressing issues in the field of cybersecurity: 

"Detecting PII Leakage Using DPI and Machine Learning in an Enterprise Environment" by Luka Khorkheli and David Bourne from the CNET program. 

This paper addresses the escalating challenge of protecting personal identifiable information (PII) in an era where cyber threats are increasingly sophisticated. The authors propose a novel approach combining Deep Packet Inspection (DPI) and Machine Learning to enhance Data Loss Prevention (DLP) and monitoring systems. By proactively identifying and mitigating potential data breaches, their research advocates for a fortified defense mechanism against indirect cyber-attacks, such as those involving social engineering. 

"Deep Learning for Preventing Botnet Attacks on IoT" by Jehad Al-Jaghoub, Noor Mohamed Jibreel, Farhad Maleki, Sr., Abdulhakim Jamal Aljohar, and Fayez N Fakhoury from the CNET program. 

Under the guidance of Dr. Rita Zgheib, and Dr. Gandeva Bayu Satrya, Assistant Professors at CUD’s School of Engineering, Applied Science and Technology, this research explored the intersection of artificial intelligence and cybersecurity. The paper focuses on employing deep learning techniques, specifically convolutional neural networks (CNN), to combat the growing threat of botnet attacks on IoT networks. Through meticulous dataset preprocessing and feature selection, the team aims to enhance the accuracy and efficiency of botnet attack identification and mitigation. 

These research papers not only demonstrate the proactive engagement of CUD students in addressing contemporary cybersecurity challenges but also underscore their potential to contribute meaningfully to the ongoing discourse in this field. The innovative solutions presented at the NEW2AN 2023 conference are expected to make a significant impact on strengthening the security infrastructure in the digital landscape. 

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