International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064

Downloads: 2 | Views: 62 | Weekly Hits: ⮙2 | Monthly Hits: ⮙2

Informative Article | Computer Science and Information Technology | India | Volume 9 Issue 9, September 2020

Deception in the Digital Age: Exploring the Intersection of Deepfakes and Cybersecurity Challenges

Shanmugavelan Ramakrishnan [6]

Abstract: In recent years, the rapid advancement of artificial intelligence (AI) has led to the emergence of deepfake technology, a method by which realistic yet entirely fabricated audiovisual content can be created. This technology, while showcasing remarkable achievements in the field of computer vision and AI, poses unprecedented challenges to the domain of cybersecurity. This paper aims to explore the multifaceted impact of deepfakes on cybersecurity frameworks, highlighting the potential threats to individual privacy, national security, and the integrity of information systems. Through a comprehensive analysis of existing deepfake detection methods, the research further investigates the arms race between deepfake generation and detection technologies, emphasizing the need for adaptive and proactive cybersecurity measures. By evaluating case studies and emerging legislative efforts, the paper proposes a multidisciplinary approach to mitigate the risks associated with deepfakes. This includes advancements in detection algorithms, public awareness campaigns, and the development of legal and ethical standards to govern the use of AI - generated content. Ultimately, this research underscores the imperative for collaborative efforts among technologists, policymakers, and educators to safeguard digital spaces against the malicious use of deepfakes, ensuring a secure and trustworthy digital environment for future generations.

Keywords: Deepfakes, Cybersecurity, Artificial Intelligence (AI), Synthetic Media, Digital Trust, Machine Learning, Deep Learning, Content Authentication, Digital Forensics, Ethical Implications, Generative Adversarial Networks, Deepfake Detection, Deepfake Detection Challenges and Risks

Edition: Volume 9 Issue 9, September 2020,

Pages: 1611 - 1615

How to Download this Article?

Type Your Valid Email Address below to Receive the Article PDF Link

Verification Code will appear in 2 Seconds ... Wait