| Title | The Threat of Deep Fake Technology to Trusted Identity Management |
| Publication Type | Conference Paper |
| Year of Publication | 2022 |
| Authors | Ali, Atif, Jadoon, Yasir Khan, Farid, Zulqarnain, Ahmad, Munir, Abidi, Naseem, Alzoubi, Haitham M., Alzoubi, Ali A. |
| Conference Name | 2022 International Conference on Cyber Resilience (ICCR) |
| Keywords | artificial intelligence, cultural differences, Deep Fakes, Deep Learning, Deepfakes, Education, Entertainment industry, Forgery, Human Behavior, Identity management, network trusted identity management, pubcrawl, resilience, Resiliency, Scalability, security |
| Abstract | With the rapid development of artificial intelligence technology, deepfake technology based on deep learning is receiving more and more attention from society or the industry. While enriching people's cultural and entertainment life, in-depth fakes technology has also caused many social problems, especially potential risks to managing network credible identities. With the continuous advancement of deep fakes technology, the security threats and trust crisis caused by it will become more serious. It is urgent to take adequate measures to curb the abuse risk of deep fakes. The article first introduces the principles and characteristics of deep fakes technology and then deeply analyzes its severe challenges to network trusted identity management. Finally, it researches the supervision and technical level and puts forward targeted preventive countermeasures. |
| DOI | 10.1109/ICCR56254.2022.9995978 |
| Citation Key | ali_threat_2022 |
The Threat of Deep Fake Technology to Trusted Identity Management