Deepfake detection : A new frontier in cybersecurity for protecting digital identities, preventing misinformation, and ensuring data integrity
Preeti Narookapreeti.narooka@jaipur.manipal.eduSchool of Computer Science and Engineering Manipal University JaipurDepartment of Artificial Intelligence and Machine Learning Manipal University Jaipur Jaipur, Rajasthan, 303007, IndiaView full profile → , Dharmendra SharmaDharmendra.sharma@nmims.eduSchool of Technology Management and Engineering NMIMS UniversityMumbai, Maharashtra, 400056, IndiaView full profile → , Miriyala Trinath Basutrinath@klh.edu.inDepartment of Computer Science and Engineering Koneru Lakshmaiah Education FoundationHyderabad, Telangana, 500075, IndiaView full profile → , Varun Kumarvarun.kumar@alliance.edu.inDepartment of Pure and Applied Mathematics Alliance School of Sciences Alliance UniversityBangalore, Karnataka, 562106, IndiaView full profile → , Sushanth Chandra Addimulamsushanth93@gmail.comKforce Inc 2681 Sidney StKforce Inc 2681 Sidney St Pittsburgh, PA 15203, U.S.A.View full profile → , Neha Kapilaneha.31020@lpu.co.inDepartment of Electronics and Electrical Engineering Lovely Professional University Department of Electronics and Electrical Engineering Lovely Professional UniversityPhagwara, Punjab, 144411, IndiaView full profile → , *Neeraj Kumar VermaCorresponding authorneeraj.verma@jaipur.manipal.eduDepartment of Data Science and Engineering Manipal University JaipurDepartment of Data Science and Engineering Manipal University JaipurJaipur, Rajasthan, 303007, IndiaView full profile →
* Corresponding author · click or hover a name for details
- Received:
- 04 Feb 2025
- Published Online:
- 08 Dec 2025
- Article type:
- Research Article
- Language:
- EN
- Article no.:
- JDMSC-2445
- Pages:
- 3013–3023
Abstract
Keywords
Subject Classifications
References
[1] Y. Cao, S. Li, Y. Liu, Z. Yan, Y. Dai, P. S. Yu, and L. Sun, “A comprehensive survey of AI-generated content (AIGC): A history of generative AI from GAN to ChatGPT,” arXiv preprint arXiv:2303.04226 (2023).
[2] W. Shin and M. O. Lwin, “Parental mediation of children’s digital media use in high digital penetration countries: Perspectives from Singapore and Australia,” Asian J. Commun., vol. 32, no. 4, pp. 309–326 (2022).
[3] A. Tiwari and R. M. Sharma, “Potent cloud services utilization with efficient revised rough set optimization service parameters,” in Proc. Int. Conf. on Advances in Info. Comm. Tech. & Computing, pp. 1–7 (Aug. 2016).
[4] N. Amezaga and J. Hajek, “Availability of voice deepfake technology and its impact for good and evil,” in Proc. 23rd Annu. Conf. on Info. Tech. Education, pp. 23–28 (2022).
[5] A. Tiwari and R. M. Sharma, “A Skywatch on the Challenging Gradual Progression of Scheduling in Cloud Computing,” in Applications of Computing, Automation and Wireless Systems in Electrical Engineering: Proc. of MARC 2018, Singapore: Springer Singapore, pp. 531–541 (2019).
[6] D. Silverman, K. Kaltenthaler, and M. Dagher, “Seeing is disbelieving: The depths and limits of factual misinformation in war,” Int. Stud. Q., vol. 65, no. 3, pp. 798–810 (2021).
[7] A. Tiwari and R. Garg, “Reservation System for Cloud Computing Resources (RSCC): Immediate Reservation of the Computing Mechanism,” Int. J. Cloud Appl. Comput. (IJCAC), vol. 12, no. 1, pp. 1–22 (2022).
[8] M. T. Ahvanooey, Q. Li, X. Zhu, M. Alazab, and J. Zhang, “ANiTW: A novel intelligent text watermarking technique for forensic identification of spurious information on social media,” Computers & Security, vol. 90, p. 101702 (2020).
[9] A. Tiwari and R. M. Sharma, “Realm Towards Service Optimization in Fog Computing,” in Research Anthology on Architectures, Frameworks, and Integration Strategies for Distributed and Cloud Computing, IGI Global, pp. 1530–1563 (2021).
[10] J. Zhou, Y. Zhang, Q. Luo, A. G. Parker, and M. De Choudhury, “Synthetic lies: Understanding AI-generated misinformation and evaluating algorithmic and human solutions,” in Proc. 2023 CHI Conf. on Human Factors in Computing Systems, pp. 1–20 (2023).
[11] A. Tiwari and R. Garg, “Adaptive ontology-based IoT resource provisioning in computing systems,” Int. J. Semantic Web Inf. Syst. (IJSWIS), vol. 18, no. 1, pp. 1–18 (2022).
[12] J. Fletcher, “Deepfakes, artificial intelligence, and some kind of dystopia: The new faces of online post-fact performance,” Theatre J., vol. 70, no. 4, pp. 455–471 (2018).
[13] D. Dudeja, S. M. Sabharwal, Y. Ganganwar, M. Singhal, N. Goyal, and A. Tiwari, “Sales-Based Models for Resource Management and Scheduling in Artificial Intelligence Systems,” Eng. Proc., vol. 59, no. 1, p. 43 (2023).
[14] K. Chakraborty, S. Singhal, N. Arya, M. Tiwari, A. Khatoon, and A. Tiwari, “Multilevel Cloud Resource Scheduling Approach Based on Image-Based Signature System,” in Proc. 5th Int. Conf. on Info. Management & Machine Intelligence, pp. 1–7 (Nov. 2023).
[15] S. Kumar, P. K. Srivastava, G. K. Srivastava, P. Singhal, D. Singh, and D. Goyal, “Chaos based image encryption security in cloud computing,” J. Discrete Math. Sci. Cryptogr., vol. 25, no. 4, pp. 1041–1051 (2022).
[16] K. Sarvesh, D. K. Kumar, G. A. Kumar, V. Shikha, K. Vinay, and M. Udit, “Detection of recurring vulnerabilities in computing services,” J. Discrete Math. Sci. Cryptogr., Art. no. 2072432 (2022).
[17] S. Kumar, P. K. Srivastava, A. K. Pal, V. P. Mishra, P. Singhal, G. K. Srivastava, and U. Mamodiya, “Protecting location privacy in cloud services,” J. Discrete Math. Sci. Cryptogr., vol. 25, no. 4, pp. 1053–1062 (2022).




