Florida International University
Yashas Hariprasad is currently a Ph.D. candidate and holds the role of Graduate Research Assistant at Florida International University’s Knight Foundation School of Computing and Information Sciences (KFSCIS). He is actively involved in research conducted at the US Army-funded FINDS Digital Forensics Center of Excellence under the guidance of Dr. S. S. Iyengar. Yashas possesses a strong foundation in Python, machine learning, and cybersecurity. Yashas’s primary contributions to research involve the development of an innovative AI-based deepfake detection algorithm and the creation of a cutting-edge quantum video encryption framework. He has published 6 papers in leading journals and conferences such as Elsevier and Springer Nature. His collaborative efforts extend beyond his institution, as he has worked alongside researchers from various universities, including Poznan University of Technology in Poland, UNC-Chapel Hill, and SIT-India. Additionally, he has collaborated with industry experts as a Security Risk Analyst at VMware. He has actively contributed to mentoring undergraduate and high-school students, playing a role in the annual FINDS summer workshop in 2022 and 2023, as well as the 2022 Undergraduate Research Conference at FIU. His dedication and accomplishments in the field have earned him several awards, including an Appreciation medal from the Commander of DISA (Defense Information Systems Agency), a combat support agency within the United States Department of Defense. Additionally, he was recognized as an Outstanding Paper Presenter at ICISPD 2022. Outside of his research pursuits, Yashas also took on leadership responsibilities by serving as the founding vice president of the Artificial Intelligence and Coding Club at FIU in 2022, President of ISA, and Ph.D. Representative of the KFSCIS Student Advisory Council. Before embarking on his Ph.D. journey, he obtained a Bachelor of Engineering degree in Computer Science and Engineering from SIT, Tumkur, India, in 2020.
In the ever-evolving landscape of digital technology, the synergy between artificial intelligence (AI) and quantum computing has catalyzed transformative changes, especially in the realm of visual media. We aim to address the critical issue of cybersecurity within this context by proposing an innovative dual-strategy approach. The first facet, “AI-Powered Detection of Video Deepfakes for Resilient Cybersecurity,” focuses on countering the growing menace of deepfake technology. Leveraging advanced AI algorithms, this facet aims to construct a robust system capable of distinguishing authentic videos from manipulated ones. The second facet, “Quantum Computational Shield: Advanced Encryption Framework for Secure Quantum Video Transmission,” harnesses the potential of quantum computing to establish a cutting-edge encryption framework. This framework employs quantum cryptographic protocols to ensure the confidentiality and integrity of video data. These intertwined facets form a comprehensive strategy poised to elevate the cybersecurity landscape. By amalgamating quantum encryption and AI-powered defenses against deepfakes, this proposal aims to forge a secure, reliable, and trustworthy digital environment. This dual-pronged approach not only addresses multifaceted challenges but also fosters an overall secure digital realm.