Cybersecurity Challenges in Live Streaming: Protecting Digital Anchors F Rom Deepfake and Identity Theft
Year: 2025
Type: article
Abstract: This research paper explores the growing cybersecurity challenges in live streaming, with a focus on protecting digital anchors from deepfake attacks and identity theft. It highlights how AI-driven deepfake technology enables cybercriminals to manipulate or impersonate content creators in real time, causing misinformation, reputational damage, and fraud. The study analyzes vulnerabilities in popular streaming platforms, including weak authentication protocols, lack of real-time detection, and risks associated with biometric data breaches. Various countermeasures, such as AI-based deepfake detection, multi-factor authentication, blockchain-based identity verification, and biometric systems, are evaluated for their effectiveness and limitations. The findings emphasize the need for a multi-layered cybersecurity framework that integrates advanced AI monitoring, robust encryption, and decentralized identity management to safeguard digital identities, maintain content authenticity, and enhance audience trust in online streaming.
Author: HASHMI, SAYED
Institution: Shri Jagdishprasad Jhabarmal Tibrewala University
Language: English
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W7080401248
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