The real struggle is to distinguish what is real and what is fake in the communication of the hyper-digitalized age, in which AI and generative technologies significantly impact the field of communication. The change in the creation and consumption of information has come with the deepfake AI-generated fake media that can imitate a human in voice, image, and video. However, on the one hand, generative models such as Generative Adversarial Networks (GANs) and diffusion models are a great source of innovation in the areas of entertainment, education, and design; on the other hand, their bad use has heightened the risks of misinformation, identity theft, and reputational damage. At the same time, the emergence of AI-fabricated fake news, generally large language models (LLMs)-based, has escalated the number of deceptive stories in the social, political, and economic domains. These manipulated materials are hardly distinguishable since modern deep-learning models develop rapidly, and digital spreading is simple. The present paper highlights the problem of deepfakes globally and locally (in India), besides discussing the available technological, ethical, and legal solutions. It points out the defects of the Indian regulatory framework, such as the limitations of the Information Technology Act (2000) and the unorganized system of digital identity protection. To fill these holes, the paper proposes the Digital Likeness and Integrity Framework (DLIF) - a comprehensive model that integrates AI-powered detection, blockchain authentication, and governance concepts. The framework is intended to facilitate digital legitimacy, accountability, and protection of individual rights when synthetic media are becoming more prevalent.

Keywords- Deepfakes, Misinformation, GANs, Digital Likeness, Integrity Framework, Blockchain, Ethical AI, Deepfake Creation.

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1. Barosz P, Gołda G, Kampa A. Efficiency analysis of manufacturing line with industrial robots and human operators. Applied Sciences. 2020 Apr 21;10(8):2862.
2. Masood M, Nawaz M, Malik KM, Javed A, Irtaza A, Malik H. Deepfakes generation and detection: State-of-the-art, open challenges, countermeasures, and way forward. Applied intelligence. 2023 Feb;53(4):3974-4026.
3. Singh P, Dhiman DB. Exploding AI-generated deepfakes and misinformation: A threat to global concern in the 21st century. Available at SSRN 4651093. 2023 Dec 1.
4. Modalavalasa G. Advanced Blockchain Mechanisms for Strengthening Data Security And Ensuring Privacy in Decentralized Systems. Int. J. Recent Technol. Sci. Manag. 2023;8(6):89-98.
5. Needhipathi JJ. An Effective Machine Learning Model for Scam Profile Identification on Instagram using Boosting Classifiers and Neural Networks. In2025 International Conference on Networks and Cryptology (NETCRYPT) 2025 May 29 (pp. 64-69). IEEE.
6. Rai AK, Kumar S. AI-Generated Misinformation and Deepfakes: Legal Challenges and Regulatory Responses in India and Across the Globe.
7. Needhipathi JJ, Kumar S, Karim S. The Role of Artificial Intelligence in Misinformation: Study of Selected Indian Metropolitan Cities. In2025 International Conference on Advanced Computing Technologies (ICoACT) 2025 Mar 14 (pp. 1-6). IEEE.
8. Rathi M, Rajavat A. High Dimensional Data Processing in Privacy Preserving Data Mining. In2020 IEEE 9th International Conference on Communication Systems and Network Technologies (CSNT) 2020 Apr 10 (pp. 212-217). IEEE.
9. AFirc A, Malinka K, Hanáček P. Deepfakes as a threat to a speaker and facial recognition: An overview of tools and attack vectors. Heliyon. 2023 Apr 1;9(4).
10. Khanjani Z, Watson G, Janeja VP. Audio deepfakes: A survey. Frontiers in Big Data. 2023 Jan 9;5:1001063.
11. Tesfagergish SG, Damaševičius R, Kapočiūtė-Dzikienė J. Deep fake recognition in tweets using text augmentation, word embeddings and deep learning. InInternational Conference on Computational Science and Its Applications 2021 Sep 12 (pp. 523-538). Cham: Springer International Publishing.
12. Zhong W, Tang D, Xu Z, Wang R, Duan N, Zhou M, Wang J, Yin J. Neural deepfake detection with factual structure of text. arXiv preprint arXiv:2010.07475. 2020 Oct 15.
13. Tran VN, Lee SH, Le HS, Kim BS, Kwon KR. Learning face forgery detection in unseen domain with generalization deepfake detector. In2023 IEEE International Conference on Consumer Electronics (ICCE) 2023 Jan 6 (pp. 01-06). IEEE.
14. Maddali G. Enhancing Database Architectures with Artificial Intelligence (AI). Available at SSRN 5276667. 2025 May 15.
15. Pantserev KA. The malicious use of AI-based deepfake technology as the new threat to psychological security and political stability. InCyber defence in the age of AI, smart societies and augmented humanity 2020 Apr 7 (pp. 37-55). Cham: Springer International Publishing.
16. Rossler A, Cozzolino D, Verdoliva L, Riess C, Thies J, Nießner M. Faceforensics++: Learning to detect manipulated facial images. InProceedings of the IEEE/CVF international conference on computer vision 2019 (pp. 1-11).
17. Rai AK, Kumar S. AI-Generated Misinformation and Deepfakes: Legal Challenges and Regulatory Responses in India and Across the Globe.
18. Pathak B, Patel K. Combating fake news through digital media literacy: Study on digital media users of Bhopal City of India. International Journal on Transformations of Media. 2020;5(2):49-65.
19. Singh P, Dhiman DB. Exploding AI-generated deepfakes and misinformation: A threat to global concern in the 21st century. Available at SSRN 4651093. 2023 Dec 1.
20. Saggu R, Kumar A. Digital Replicas and Financial Crimes. Traditional and Contemporary Criminal Jurisprudence (University Book House Pvt Ltd, Jaipur 2025 forthcoming). 2025 Aug 15.
21. Kashyap S. The Digital Mirage: India's Evolving Legal Battle Against Deepfake Technology. SCRIPTed: A Journal of Law, Technology & Society. 2025 Dec 18;22(2):162-226.
22. Kishwar SD, Tripathi A, Khatoon S, Poddar D, Khurana B. Regulating deep fakes and synthetic media: Privacy, policy and global regulatory challenges. Journal of Data Protection & Privacy. 2025 Jan 1;8(1):78-96.
23. YADAV J, Parihar A. DEEPFAKES: THE NEXUS OF TECHNOLOGY AND CRIME. Available at SSRN 5296147. 2025 Jun 1.
24. Shirish A, Komal S. A socio-legal inquiry on deepfakes. Cal. W. Int'l LJ. 2023;54:517.
25. Chesney B, Citron D. Deep fakes: A looming challenge for privacy, democracy, and national security. Calif. L. Rev.. 2019;107:1753.
26. Panwar KS, Roy ND. Rising menace of deepfakes with the help of AI: Legal implications in India. Indian Journal of Integrated Research in Law Volume IV Issue III| ISSN. 2024;2583:0538.
27. Gautam A, Joshi RK, Narula A, Sharma N. Mitigating Human Rights Violations Caused by Deepfake Technology. Library of Progress-Library Science, Information Technology & Computer. 2024 Jul 15;44(3).
28. Almars AM. Deepfakes detection techniques using deep learning: a survey. Journal of Computer and Communications. 2021 May 12;9(5):20-35.
29. Sandotra N, Arora B. A comprehensive evaluation of feature-based AI techniques for deepfake detection. Neural Computing and Applications. 2024 Mar;36(8):3859-87.
30.  Acim B, Boukhlif M, Kharmoum N, Ziti S. Emerging Technologies in Clinical Trials: Deepfakes and Digital Twins. InInternational Conference on the Global Summit of Digital Health 2025 Apr 14 (pp. 200-209). Cham: Springer Nature Switzerland.
31. Ahmed S, Shaun MA. Impact of deepfake technology on digital world authenticity: A review. International Journal of Engineering and Management Research. 2022;12(3):78-84.
32.  Akhtar Z. Deepfakes generation and detection: A short survey. Journal of Imaging. 2023 Jan 13;9(1):18.
33. Prajapati V. Blockchain-Based Decentralized Identity Systems: A Survey of Security, Privacy, and Interoperability. International Journal of Innovative Science and Research Technology. 2025;10:1011-20.
34.  Lukas N, Kerschbaum F. {PTW}: Pivotal tuning watermarking for {Pre-Trained} image generators. In32nd USENIX Security Symposium (USENIX Security 23) 2023 (pp. 2241-2258).
35.  Khalid F, Javed A, Ilyas H, Irtaza A. DFGNN: An interpretable and generalized graph neural network for deepfakes detection. Expert Systems with Applications. 2023 Jul 15;222:119843.
36. Toubal IE, Lyu L, Lin D, Palaniappan K. Single view facial age estimation using deep learning with cascaded random forests. InInternational Conference on Computer Analysis of Images and Patterns 2021 Sep 28 (pp. 285-296). Cham: Springer International Publishing.
37. Nandal M. Mitigating Deepfake Threats to Privacy: Legal Frameworks and Technological Safeguards. InProceedings of the National Seminar on Enhancing Privacy Protection in the Digital Age: Legal Challenges & Innovations (NSEPPDA 2025) 2025 Jun 6 (Vol. 936, p. 225). Springer Nature.
38.  Prajapati NK. Federated learning for privacy-preserving cybersecurity: A review on secure threat detection. Int. J. Adv. Res. Sci. Commun. Technol. 2025 Apr;5(4):520-8.
39. Panwar KS, Roy ND. Rising menace of deepfakes with the help of AI: Legal implications in India. Indian Journal of Integrated Research in Law Volume IV Issue III| ISSN. 2024;2583:0538.
40. Chaudhari D, Mhatre K, Jadhav B, Jakhotia P, Mangela M. Securing Media Integrity: A Blockchain-Based Approach Against AI-Generated Deepfakes. InInternational Conference on Advanced Computing and Intelligent Technologies 2024 Dec 13 (pp. 465-480). Singapore: Springer Nature Singapore.
41. Quadir M, Agrawal P, Gupta C. A comparative analysis of deepfake detection techniques: A review. In2023 6th International Conference on Contemporary Computing and Informatics (IC3I) 2023 Sep 14 (Vol. 6, pp. 1035-1041). IEEE.
42. Wazid M, Mishra AK, Mohd N, Das AK. A secure deepfake mitigation framework: Architecture, issues, challenges, and societal impact. Cyber Security and Applications. 2024 Jan 1;2:100040.
43. Needhipathi JJ. An Effective Machine Learning Model for Scam Profile Identification on Instagram using Boosting Classifiers and Neural Networks. In2025 International Conference on Networks and Cryptology (NETCRYPT) 2025 May 29 (pp. 64-69). IEEE.
44.  Meskys E, Kalpokiene J, Jurcys P, Liaudanskas A. Regulating deep fakes: legal and ethical considerations. Journal of Intellectual Property Law & Practice. 2020 Jan 2;15(1):24-31.
45.  Shah V. Managing Security and Privacy in Cloud Frameworks: A Risk with Compliance Perspective for Enterprises. Int. J. Curr. Eng. Technol. 2022;12(06):1-3.
46.  Banerjee S, Kharate S, Parmar G. Confronting Legal Hurdles in the Battle against AI-Driven Deepfake Misinformation. Journal of Computational Analysis & Applications. 2024 Oct 15;33(4). 
47. Samuel-Okon AD, Akinola OI, Olaniyi OO, Olateju O, Ajayi SA. Assessing the effectiveness of network security tools in mitigating the impact of deepfakes AI on public trust in media. Available at SSRN 4908098. 2024 Jul 27.
48. Seetharaman KM, Pandya S. Importance Of Artificial Intelligence In Transforming Sales, Procurement, And Supply Chain Processes. Int. J. Recent Technol. Sci. Manag. 2023;8(7):1-9.
49. Bhale S. Deepfake Laws in India: The Need for Legal Regulation in the AI Era. Available at SSRN 5153296. 2025 Feb 1.
50. Shukla C, Shukla A. Digital Forensics and Intellectual Property Rights Protection in the Age of Artificial Intelligece Technology and Deep Fakes. Home. 2025 Jul 1;1(3):11-33.
51. Narang S, Kolla VG. Next-Generation Cloud Security: A Review of the Constraints and Strategies in Serverless Computing. Int. J. Res. Anal. Rev. 2025;12(3):1-7.
52. Mirsky Y, Lee W. The creation and detection of deepfakes: A survey. ACM computing surveys (CSUR). 2021 Jan 2;54(1):1-41.
53. Singh A. Development of Personality Rights and Data Privacy Regulation of Deepfakes. Available at SSRN 5348028. 2024 Nov 22.
54. Malik N, Husain F, Ali A, Elahi YA. Recent Advances in Cyber Security Laws and Practices in India: Implementation and Awareness. Advances in Cyberology and the Advent of the Next-Gen Information Revolution. 2023:220-41.
55. Kaushal A, Parihar Y, Tomar V, Yadav UK. Study on Deepfake Detection Techniques: Challenges, Limitations and Future Directions. In2025 6th International Conference on Data Intelligence and Cognitive Informatics (ICDICI) 2025 Jul 9 (pp. 40-48). IEEE.
56. Jagam A, Patel N, Chidirala B, Acharya B. Deepfake Detection in Facial Images Using Convolutional Neural Networks. In2025 Fourth International Conference on Power, Control and Computing Technologies (ICPC2T) 2025 Jan 20 (pp. 1-6). IEEE.
57. Sharma R, Sharma T, Arora S, Verma S. A Comparative Analysis of Deep Neural Network Models for Deepfake Image Detection Generated using AI. In2024 International Conference on IT Innovation and Knowledge Discovery (ITIKD) 2025 Apr 13 (pp. 1-5). IEEE.
58. Das A, Pal S, Das B, Kaur P. FakeTweet busters: a combination of BERT and Deepfake detection to resolve the spreading of fake AI generated news. In2024 IEEE Region 10 Symposium (TENSYMP) 2024 Sep 27 (pp. 1-6). IEEE.
59. Khalid M, Raza A, Younas F, Rustam F, Villar MG, Ashraf I, Akhtar A. Novel sentiment majority voting classifier and transfer learning-based feature engineering for sentiment analysis of deepfake tweets. IEEE Access. 2024 May 8;12:67117-29.
60. Shoaib MR, Wang Z, Ahvanooey MT, Zhao J. Deepfakes, misinformation, and disinformation in the era of frontier AI, generative AI, and large AI models. In2023 international conference on computer and applications (ICCA) 2023 Nov 28 (pp. 1-7). IEEE.

The real struggle is to distinguish what is real and what is fake in the communication of the hyper-digitalized age, in which AI and generative technologies significantly impact the field of communication. The change in the creation and consumption of information has come with the deepfake AI-generated fake media that can imitate a human in voice, image, and video. However, on the one hand, generative models such as Generative Adversarial Networks (GANs) and diffusion models are a great source of innovation in the areas of entertainment, education, and design; on the other hand, their bad use has heightened the risks of misinformation, identity theft, and reputational damage. At the same time, the emergence of AI-fabricated fake news, generally large language models (LLMs)-based, has escalated the number of deceptive stories in the social, political, and economic domains. These manipulated materials are hardly distinguishable since modern deep-learning models develop rapidly, and digital spreading is simple. The present paper highlights the problem of deepfakes globally and locally (in India), besides discussing the available technological, ethical, and legal solutions. It points out the defects of the Indian regulatory framework, such as the limitations of the Information Technology Act (2000) and the unorganized system of digital identity protection. To fill these holes, the paper proposes the Digital Likeness and Integrity Framework (DLIF) - a comprehensive model that integrates AI-powered detection, blockchain authentication, and governance concepts. The framework is intended to facilitate digital legitimacy, accountability, and protection of individual rights when synthetic media are becoming more prevalent.

Keywords- Deepfakes, Misinformation, GANs, Digital Likeness, Integrity Framework, Blockchain, Ethical AI, Deepfake Creation.

🔒 This is a subscription article

Full text is available to subscribers and institutional members. Please choose an option below to access it.

1. Barosz P, Gołda G, Kampa A. Efficiency analysis of manufacturing line with industrial robots and human operators. Applied Sciences. 2020 Apr 21;10(8):2862.
2. Masood M, Nawaz M, Malik KM, Javed A, Irtaza A, Malik H. Deepfakes generation and detection: State-of-the-art, open challenges, countermeasures, and way forward. Applied intelligence. 2023 Feb;53(4):3974-4026.
3. Singh P, Dhiman DB. Exploding AI-generated deepfakes and misinformation: A threat to global concern in the 21st century. Available at SSRN 4651093. 2023 Dec 1.
4. Modalavalasa G. Advanced Blockchain Mechanisms for Strengthening Data Security And Ensuring Privacy in Decentralized Systems. Int. J. Recent Technol. Sci. Manag. 2023;8(6):89-98.
5. Needhipathi JJ. An Effective Machine Learning Model for Scam Profile Identification on Instagram using Boosting Classifiers and Neural Networks. In2025 International Conference on Networks and Cryptology (NETCRYPT) 2025 May 29 (pp. 64-69). IEEE.
6. Rai AK, Kumar S. AI-Generated Misinformation and Deepfakes: Legal Challenges and Regulatory Responses in India and Across the Globe.
7. Needhipathi JJ, Kumar S, Karim S. The Role of Artificial Intelligence in Misinformation: Study of Selected Indian Metropolitan Cities. In2025 International Conference on Advanced Computing Technologies (ICoACT) 2025 Mar 14 (pp. 1-6). IEEE.
8. Rathi M, Rajavat A. High Dimensional Data Processing in Privacy Preserving Data Mining. In2020 IEEE 9th International Conference on Communication Systems and Network Technologies (CSNT) 2020 Apr 10 (pp. 212-217). IEEE.
9. AFirc A, Malinka K, Hanáček P. Deepfakes as a threat to a speaker and facial recognition: An overview of tools and attack vectors. Heliyon. 2023 Apr 1;9(4).
10. Khanjani Z, Watson G, Janeja VP. Audio deepfakes: A survey. Frontiers in Big Data. 2023 Jan 9;5:1001063.
11. Tesfagergish SG, Damaševičius R, Kapočiūtė-Dzikienė J. Deep fake recognition in tweets using text augmentation, word embeddings and deep learning. InInternational Conference on Computational Science and Its Applications 2021 Sep 12 (pp. 523-538). Cham: Springer International Publishing.
12. Zhong W, Tang D, Xu Z, Wang R, Duan N, Zhou M, Wang J, Yin J. Neural deepfake detection with factual structure of text. arXiv preprint arXiv:2010.07475. 2020 Oct 15.
13. Tran VN, Lee SH, Le HS, Kim BS, Kwon KR. Learning face forgery detection in unseen domain with generalization deepfake detector. In2023 IEEE International Conference on Consumer Electronics (ICCE) 2023 Jan 6 (pp. 01-06). IEEE.
14. Maddali G. Enhancing Database Architectures with Artificial Intelligence (AI). Available at SSRN 5276667. 2025 May 15.
15. Pantserev KA. The malicious use of AI-based deepfake technology as the new threat to psychological security and political stability. InCyber defence in the age of AI, smart societies and augmented humanity 2020 Apr 7 (pp. 37-55). Cham: Springer International Publishing.
16. Rossler A, Cozzolino D, Verdoliva L, Riess C, Thies J, Nießner M. Faceforensics++: Learning to detect manipulated facial images. InProceedings of the IEEE/CVF international conference on computer vision 2019 (pp. 1-11).
17. Rai AK, Kumar S. AI-Generated Misinformation and Deepfakes: Legal Challenges and Regulatory Responses in India and Across the Globe.
18. Pathak B, Patel K. Combating fake news through digital media literacy: Study on digital media users of Bhopal City of India. International Journal on Transformations of Media. 2020;5(2):49-65.
19. Singh P, Dhiman DB. Exploding AI-generated deepfakes and misinformation: A threat to global concern in the 21st century. Available at SSRN 4651093. 2023 Dec 1.
20. Saggu R, Kumar A. Digital Replicas and Financial Crimes. Traditional and Contemporary Criminal Jurisprudence (University Book House Pvt Ltd, Jaipur 2025 forthcoming). 2025 Aug 15.
21. Kashyap S. The Digital Mirage: India's Evolving Legal Battle Against Deepfake Technology. SCRIPTed: A Journal of Law, Technology & Society. 2025 Dec 18;22(2):162-226.
22. Kishwar SD, Tripathi A, Khatoon S, Poddar D, Khurana B. Regulating deep fakes and synthetic media: Privacy, policy and global regulatory challenges. Journal of Data Protection & Privacy. 2025 Jan 1;8(1):78-96.
23. YADAV J, Parihar A. DEEPFAKES: THE NEXUS OF TECHNOLOGY AND CRIME. Available at SSRN 5296147. 2025 Jun 1.
24. Shirish A, Komal S. A socio-legal inquiry on deepfakes. Cal. W. Int'l LJ. 2023;54:517.
25. Chesney B, Citron D. Deep fakes: A looming challenge for privacy, democracy, and national security. Calif. L. Rev.. 2019;107:1753.
26. Panwar KS, Roy ND. Rising menace of deepfakes with the help of AI: Legal implications in India. Indian Journal of Integrated Research in Law Volume IV Issue III| ISSN. 2024;2583:0538.
27. Gautam A, Joshi RK, Narula A, Sharma N. Mitigating Human Rights Violations Caused by Deepfake Technology. Library of Progress-Library Science, Information Technology & Computer. 2024 Jul 15;44(3).
28. Almars AM. Deepfakes detection techniques using deep learning: a survey. Journal of Computer and Communications. 2021 May 12;9(5):20-35.
29. Sandotra N, Arora B. A comprehensive evaluation of feature-based AI techniques for deepfake detection. Neural Computing and Applications. 2024 Mar;36(8):3859-87.
30.  Acim B, Boukhlif M, Kharmoum N, Ziti S. Emerging Technologies in Clinical Trials: Deepfakes and Digital Twins. InInternational Conference on the Global Summit of Digital Health 2025 Apr 14 (pp. 200-209). Cham: Springer Nature Switzerland.
31. Ahmed S, Shaun MA. Impact of deepfake technology on digital world authenticity: A review. International Journal of Engineering and Management Research. 2022;12(3):78-84.
32.  Akhtar Z. Deepfakes generation and detection: A short survey. Journal of Imaging. 2023 Jan 13;9(1):18.
33. Prajapati V. Blockchain-Based Decentralized Identity Systems: A Survey of Security, Privacy, and Interoperability. International Journal of Innovative Science and Research Technology. 2025;10:1011-20.
34.  Lukas N, Kerschbaum F. {PTW}: Pivotal tuning watermarking for {Pre-Trained} image generators. In32nd USENIX Security Symposium (USENIX Security 23) 2023 (pp. 2241-2258).
35.  Khalid F, Javed A, Ilyas H, Irtaza A. DFGNN: An interpretable and generalized graph neural network for deepfakes detection. Expert Systems with Applications. 2023 Jul 15;222:119843.
36. Toubal IE, Lyu L, Lin D, Palaniappan K. Single view facial age estimation using deep learning with cascaded random forests. InInternational Conference on Computer Analysis of Images and Patterns 2021 Sep 28 (pp. 285-296). Cham: Springer International Publishing.
37. Nandal M. Mitigating Deepfake Threats to Privacy: Legal Frameworks and Technological Safeguards. InProceedings of the National Seminar on Enhancing Privacy Protection in the Digital Age: Legal Challenges & Innovations (NSEPPDA 2025) 2025 Jun 6 (Vol. 936, p. 225). Springer Nature.
38.  Prajapati NK. Federated learning for privacy-preserving cybersecurity: A review on secure threat detection. Int. J. Adv. Res. Sci. Commun. Technol. 2025 Apr;5(4):520-8.
39. Panwar KS, Roy ND. Rising menace of deepfakes with the help of AI: Legal implications in India. Indian Journal of Integrated Research in Law Volume IV Issue III| ISSN. 2024;2583:0538.
40. Chaudhari D, Mhatre K, Jadhav B, Jakhotia P, Mangela M. Securing Media Integrity: A Blockchain-Based Approach Against AI-Generated Deepfakes. InInternational Conference on Advanced Computing and Intelligent Technologies 2024 Dec 13 (pp. 465-480). Singapore: Springer Nature Singapore.
41. Quadir M, Agrawal P, Gupta C. A comparative analysis of deepfake detection techniques: A review. In2023 6th International Conference on Contemporary Computing and Informatics (IC3I) 2023 Sep 14 (Vol. 6, pp. 1035-1041). IEEE.
42. Wazid M, Mishra AK, Mohd N, Das AK. A secure deepfake mitigation framework: Architecture, issues, challenges, and societal impact. Cyber Security and Applications. 2024 Jan 1;2:100040.
43. Needhipathi JJ. An Effective Machine Learning Model for Scam Profile Identification on Instagram using Boosting Classifiers and Neural Networks. In2025 International Conference on Networks and Cryptology (NETCRYPT) 2025 May 29 (pp. 64-69). IEEE.
44.  Meskys E, Kalpokiene J, Jurcys P, Liaudanskas A. Regulating deep fakes: legal and ethical considerations. Journal of Intellectual Property Law & Practice. 2020 Jan 2;15(1):24-31.
45.  Shah V. Managing Security and Privacy in Cloud Frameworks: A Risk with Compliance Perspective for Enterprises. Int. J. Curr. Eng. Technol. 2022;12(06):1-3.
46.  Banerjee S, Kharate S, Parmar G. Confronting Legal Hurdles in the Battle against AI-Driven Deepfake Misinformation. Journal of Computational Analysis & Applications. 2024 Oct 15;33(4). 
47. Samuel-Okon AD, Akinola OI, Olaniyi OO, Olateju O, Ajayi SA. Assessing the effectiveness of network security tools in mitigating the impact of deepfakes AI on public trust in media. Available at SSRN 4908098. 2024 Jul 27.
48. Seetharaman KM, Pandya S. Importance Of Artificial Intelligence In Transforming Sales, Procurement, And Supply Chain Processes. Int. J. Recent Technol. Sci. Manag. 2023;8(7):1-9.
49. Bhale S. Deepfake Laws in India: The Need for Legal Regulation in the AI Era. Available at SSRN 5153296. 2025 Feb 1.
50. Shukla C, Shukla A. Digital Forensics and Intellectual Property Rights Protection in the Age of Artificial Intelligece Technology and Deep Fakes. Home. 2025 Jul 1;1(3):11-33.
51. Narang S, Kolla VG. Next-Generation Cloud Security: A Review of the Constraints and Strategies in Serverless Computing. Int. J. Res. Anal. Rev. 2025;12(3):1-7.
52. Mirsky Y, Lee W. The creation and detection of deepfakes: A survey. ACM computing surveys (CSUR). 2021 Jan 2;54(1):1-41.
53. Singh A. Development of Personality Rights and Data Privacy Regulation of Deepfakes. Available at SSRN 5348028. 2024 Nov 22.
54. Malik N, Husain F, Ali A, Elahi YA. Recent Advances in Cyber Security Laws and Practices in India: Implementation and Awareness. Advances in Cyberology and the Advent of the Next-Gen Information Revolution. 2023:220-41.
55. Kaushal A, Parihar Y, Tomar V, Yadav UK. Study on Deepfake Detection Techniques: Challenges, Limitations and Future Directions. In2025 6th International Conference on Data Intelligence and Cognitive Informatics (ICDICI) 2025 Jul 9 (pp. 40-48). IEEE.
56. Jagam A, Patel N, Chidirala B, Acharya B. Deepfake Detection in Facial Images Using Convolutional Neural Networks. In2025 Fourth International Conference on Power, Control and Computing Technologies (ICPC2T) 2025 Jan 20 (pp. 1-6). IEEE.
57. Sharma R, Sharma T, Arora S, Verma S. A Comparative Analysis of Deep Neural Network Models for Deepfake Image Detection Generated using AI. In2024 International Conference on IT Innovation and Knowledge Discovery (ITIKD) 2025 Apr 13 (pp. 1-5). IEEE.
58. Das A, Pal S, Das B, Kaur P. FakeTweet busters: a combination of BERT and Deepfake detection to resolve the spreading of fake AI generated news. In2024 IEEE Region 10 Symposium (TENSYMP) 2024 Sep 27 (pp. 1-6). IEEE.
59. Khalid M, Raza A, Younas F, Rustam F, Villar MG, Ashraf I, Akhtar A. Novel sentiment majority voting classifier and transfer learning-based feature engineering for sentiment analysis of deepfake tweets. IEEE Access. 2024 May 8;12:67117-29.
60. Shoaib MR, Wang Z, Ahvanooey MT, Zhao J. Deepfakes, misinformation, and disinformation in the era of frontier AI, generative AI, and large AI models. In2023 international conference on computer and applications (ICCA) 2023 Nov 28 (pp. 1-7). IEEE.