Research Article
The Rise of Deepfake Technology: Threats, Detection Methods, and Ethical Concerns in Cybersecurity
@INPROCEEDINGS{10.4108/eai.1-5-2025.2361305, author={Kevin Jacob and Jayakumari C}, title={The Rise of Deepfake Technology: Threats, Detection Methods, and Ethical Concerns in Cybersecurity}, proceedings={Proceedings of the 7th MEC Student Research Conference on Artificial Intelligence and Cyber Security, MECSRC 2025, 01 May 2025, Muscat, Oman}, publisher={EAI}, proceedings_a={MECSRC}, year={2026}, month={3}, keywords={deep fake artificial intelligence cyber security ai-generated media deep learning misinformation}, doi={10.4108/eai.1-5-2025.2361305} }- Kevin Jacob
Jayakumari C
Year: 2026
The Rise of Deepfake Technology: Threats, Detection Methods, and Ethical Concerns in Cybersecurity
MECSRC
EAI
DOI: 10.4108/eai.1-5-2025.2361305
Abstract
The rapid evolution of deep fake technology, which uses artificial intelligence to fabricate realistic media content, presents a growing threat to cybersecurity and digital integrity. This paper examines the origin and development of deep fakes, analysing their impact through recent high-profile cases, including the manipulated video of Indian actress Rashmika Mandanna. The incident sparked national debate on privacy and digital consent. Alongside this, we explore how AI-generated content such as the viral “Studio Ghibli-style” trends flooding social media, crafted using tools like Chat GPT and image generators, reflect a growing normalization of synthetic content. The research reviews current detection mechanisms ranging from forensic media analysis to advanced AI classifiers and evaluates the ethical, legal, and technological challenges posed by deep fake proliferation. We argue that although advancements in detection methods offer hope, the pace of deep fake sophistication demands continuous innovation, stronger legislation, and public awareness to safeguard against potential misuse.
