1
Professor, Department of CSE, Princeton Institute of Engineering and Technology for Women, Hyderabad, India.
(ankita270481@gmail.com)
Abstract :
The suggested approach, dubbed Blockchain-Enabled Secure Marketing (BESM), utilizes blockchain technology to usher in a new age in digital advertising. To solve the problems that have plagued marketing in the past, BESM combines three cutting-edge algorithms: Decentralized Identity Verification (DIVA), Consensus-Driven Targeting (CDTA), and Immutable Performance Analytics (IPAA). DIVA offers user privacy and security via decentralized identity verification, leveraging cryptographic hashes and digital signatures. CDTA revolutionizes audience selection by combining consensus-driven decision-making, encouraging accuracy and democratic involvement. IPAA protects marketing performance metrics on the blockchain, making all of the data contained within immutable and public. The results of these experiments show that BESM is superior to conventional approaches, and that it provides superior data security, user privacy, efficiency, and transparency. Algorithms as a whole strengthen the marketing ecosystem by making it more reliable and customer-focused landscapes.
Keywords :
Blockchain , CDTA; Data Security; Decentralized Identity; Digital Marketing; DIVA Algorithm; Efficiency; Immutable Analytics; IPAA Algorithm; Marketing Strategy; User Authentication.
1. Introduction
References :
[1] Y. L. Zheng, "Digital signcryption or how to achieve cost (signature & encryption) << cost(signature) plus cost (encryption)," in Proceedings of the 17th Annual International Cryptology Conference, pp. 165–179, Santa Barbara, CA, USA, August 1997.
[2] J. Baek, R. Steinfeld, and Y. Zheng, "Formal proofs for the security of signcryption," Journal of Cryptology, vol. 20, no. 2, pp. 203–235, 2007.
[3] F. Li and T. Takagi, "Secure identity-based signcryption in the standard model," Mathematical and Computer Modelling, vol. 57, no. 11-12, pp. 2685–2694, 2013.
[4] D. Pathak and R. Kashyap, "Neural correlate-based E-learning validation and classification using convolutional and Long Short-Term Memory networks," Traitement du Signal, vol. 40, no. 4, pp. 1457-1467, 2023. [Online]. Available: https://doi.org/10.18280/ts.400414
[5] R. Kashyap, "Stochastic Dilated Residual Ghost Model for Breast Cancer Detection," J Digit Imaging, vol. 36, pp. 562–573, 2023. Available: https://doi.org/10.1007/s10278-022-00739-z
[6] D. Bavkar, R. Kashyap, and V. Khairnar, "Deep Hybrid Model with Trained Weights for Multimodal Sarcasm Detection," in Inventive Communication and Computational Technologies, G. Ranganathan, G. A. Papakostas, and Á. Rocha, Eds. Singapore: Springer, 2023, vol. 757, Lecture Notes in Networks and Systems. Available: https://doi.org/10.1007/978-981-99-5166-6_13
[7] Y. Yu et al., "Identity based signcryption scheme without random oracles," Computer Standards & Interfaces, vol. 31, no. 1, pp. 56–62, 2009.
[8] M. Barbosa and P. Farshim, "Certificateless signcryption," in Proceedings of the 2008 ACM Symposium on Information, Computer and Communications Security, pp. 369–372, Tokyo, Japan, March 2008.
[9] F. Li, J. Hong, and A. A. Omala, "Efficient certificateless access control for industrial Internet of Things," Future Generation Computer Systems, vol. 76, pp. 285–292, 2017.
[10] J. G. Kotwal, R. Kashyap, and P. M. Shafi, "Artificial Driving based EfficientNet for Automatic Plant Leaf Disease Classification," Multimed Tools Appl, 2023. Available: https://doi.org/10.1007/s11042-023-16882-w
[11] V. Roy et al., “Detection of sleep apnea through heart rate signal using Convolutional Neural Network,” International Journal of Pharmaceutical Research, vol. 12, no. 4, pp. 4829-4836, Oct-Dec 2020.
[12] R. Kashyap, "Machine Learning, Data Mining for IoT-Based Systems," in Research Anthology on Machine Learning Techniques, Methods, and Applications, Information Resources Management Association, Ed. IGI Global, 2022, pp. 447-471. Available: https://doi.org/10.4018/978-1-6684-6291-1.ch025
[13] C. Zhou, G. Gao, and Z. Cui, "Certificateless signcryption in the standard model," Wireless Personal Communications, vol. 92, no. 2, pp. 495–513, 2017.
[14] C. Zhou, W. Zhou, and X. Dong, "Provable certificateless generalized signcryption scheme," Designs, Codes and Cryptography, vol. 71, no. 2, pp. 331–346, 2014.
[15] H. P. Sahu and R. Kashyap, "FINE_DENSEIGANET: Automatic medical image classification in chest CT scan using Hybrid Deep Learning Framework," International Journal of Image and Graphics [Preprint], 2023. [Online]. Available: https://doi.org/10.1142/s0219467825500044
[16] S. Stalin, V. Roy, P. K. Shukla, A. Zaguia, M. M. Khan, P. K. Shukla, A. Jain, "A Machine Learning-Based Big EEG Data Artifact Detection and Wavelet-Based Removal: An Empirical Approach," Mathematical Problems in Engineering, vol. 2021, Article ID 2942808, 11 pages, 2021. Available: https://doi.org/10.1155/2021/2942808.
| Style | # |
|---|---|
| MLA | Ankita Nigam. "Leveraging Blockchain Technology to Transform Traditional Marketing Strategies into Secure and Efficient Practices." Financial Technology and Innovation, Vol. 2, No. 2, 2023 ,PP. 37-47 (Doi : https://doi.org/10.54216/FinTech-I.020204) |
| APA | Ankita Nigam. (2023). Leveraging Blockchain Technology to Transform Traditional Marketing Strategies into Secure and Efficient Practices. Journal of Financial Technology and Innovation, 2 ( 2 ), 37-47 (Doi : https://doi.org/10.54216/FinTech-I.020204) |
| Chicago | Ankita Nigam. "Leveraging Blockchain Technology to Transform Traditional Marketing Strategies into Secure and Efficient Practices." Journal of Financial Technology and Innovation, 2 no. 2 (2023): 37-47 (Doi : https://doi.org/10.54216/FinTech-I.020204) |
| Harvard | Ankita Nigam. (2023). Leveraging Blockchain Technology to Transform Traditional Marketing Strategies into Secure and Efficient Practices. Journal of Financial Technology and Innovation, 2 ( 2 ), 37-47 (Doi : https://doi.org/10.54216/FinTech-I.020204) |
| Vancouver | Ankita Nigam. Leveraging Blockchain Technology to Transform Traditional Marketing Strategies into Secure and Efficient Practices. Journal of Financial Technology and Innovation, (2023); 2 ( 2 ): 37-47 (Doi : https://doi.org/10.54216/FinTech-I.020204) |
| IEEE | Ankita Nigam, Leveraging Blockchain Technology to Transform Traditional Marketing Strategies into Secure and Efficient Practices, Journal of Financial Technology and Innovation, Vol. 2 , No. 2 , (2023) : 37-47 (Doi : https://doi.org/10.54216/FinTech-I.020204) |