EFFICIENT AND PRIVACY-PRESERVING ONLINE FINGERPRINT AUTHENTICATION SCHEME OVER OUTSOURCED DATA
AUTHOR(S)
S.Karthikraja, R.Tamilarasu, R.Abdul Razzak, P.Gnanasurya, S.Hariharan
DOI: https://doi.org/10.46647/ijetms.2023.v07i02.056
ABSTRACT
The fingerprint recognition approach uses a variety of techniques, each of which is based on particular criteria. Finding an effective method for fingerprint recognition is the goal of this work. The goal of this project is to provide a straightforward, high-performance fingerprint recognition method. This strategy consists of two main phases: The first step is actually collecting data from samples of human fingerprints, and the second step focuses on designing and implementing a highperformance fingerprint recognition method. The feature extraction phase, in which numerous levels of the two-dimensional discrete cosine transform (D-DCT) are utilized to generate highperformance features, was the primary focus of the implemented strategy. By combining the functions of the right and left thumbs, this strategy is carried out. According to the findings, this method achieves a high level of recognition accuracy. Choosing the security architecture and policies for a system is a difficult task that must be guided by an understanding of user behavior in the proposed work to Improve data security against darker we. Shamir cryptography is the subject of our free fuzzy vault-based fingerprint cryptosystem that makes use of highly discriminative pairpolar (P-P) minutiae structures. Our system's use of fine quantization makes it possible to use a well-known, conventional minutiae matcher right away and retain a significant amount of information about a fingerprint template. The proposed fingerprint cryptosystem outperforms other minutiae-based fingerprint cryptosystems and is highly secure when compared to a few publicly available databases.
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References:
1. Xinyu Tong , Yang Wan, Qianru Li, Xiaohua Tian , and Xinbing Wang ,”CSI Fingerprinting Localization With Low Human Efforts, “IEEEAccess, VOL.29, NO.1, FEBRUARY 2021.
2. T. F. Sanam and H. Godrich, “A multi-view discriminant learning approach for indoor localization using amplitude and phase features of CSI,” IEEE Access, vol. 8, pp. 59947– 59959, 2020.
3. C. Wu, F. Zhang, Y. Fan, and K. J. R. Liu, “RF-based inertial measurement,” in Proc. ACM Special Interest Group Data Commun., Aug. 2019, pp. 2–5.
4. X. Tong, F. Zhu, Y. Wan, X. Tian, and X. Wang, “Batch localization based on OFDMA backscatter,” Proc. ACM Interact., Mobile, Wearable Ubiquitous Technol., vol. 3, no. 1, pp. 1– 25, Mar. 2019.
5. M. Kotaru and S. Katti, “Position tracking for virtual reality using commodity WiFi,” in Proc.
IEEE Conf. Comput. Vis. Pattern Recognit. (CVPR), Jul. 2017, pp. 68–78.
6. Z. Chen et al., “AWL: Turning spatial aliasing from foe to friend for accurate WiFi localization,” in Proc. 13th Int. Conf. Emerg. Netw. EXperiments Technol., Nov. 2017, pp. 238–250
7. X. Li et al., “IndoTrack: Device-free indoor human tracking with commodity Wi-Fi,” in Proc.
ACM Ubicomp, 2017, pp. 1–22.
8. U. S. Tomar, et al., (2015) “A Proposed Faht Model for Fingerprint Recognition”, International Journal of Engineering Science & Research Technology, vol. 4, no. 5: May, 2015.
9. X. Wang, L. Gao, and S. Mao, “PhaseFi: Phase fingerprinting for indoor localization with a deep learning approach,” in Proc. IEEE Global Commun. Conf. (GLOBECOM), Dec. 2015, pp.
1–6.
10. R. Subban, P. Mankame, D., “A Study of Biometric Approach Using Fingerprint Recognition “, Lecture Notes on Software Engineering, Vol. 1, No. 2, 2013.
11. S. K Chaudahri, “An algorithm for fingerprint enhancement & matching”, National Conference on Emerging Trends in Engineering & Technology (VNCET-30 Mar’12), 2012.
12. Fingerbook of Fingerprint Recognition, 2nd Edition, Maio, A. K. Jain, and S. Prabhakar, Springer-Verlag, 2009.
13. "A Biometric identification system based on Eigen finger and eigen finger features," by S. Ribaric and I. Fratric, IEEE Trans. Pattern. Anal. Mach. Intell., Vol. 27 (11), 2005, pp. 1698– 1709..
14. A. K. Jain, S. Prabhakar, and S. Pankanti, "Biometric Recognition: Concerns Concerning Security and Privacy," IEEE Security & Privacy, March/April 2003, pages 33-42.
15. R. M. Bolle, J. H. Connell, N. K. Ratha, “Biometrics perils and patches,” Pattern Recognition, vol. 35(12), pp. 2727- 2738, 2002.
16. Shwetasaibal Samanta Sahoo; Mousime Xalxo; B G Mukunda. "A Study on Tourist Behaviour Towards Sustainable Tourism in Karnataka". International Research Journal on Advanced Science Hub, 2, 5, 2020, 27-33. doi: 10.47392/irjash.2020.28
17. Muniyandy Elangovan; Mohamed Yousuf; Mohamed Nauman; Mohammed Nayeem. "Design and Development of Delivery Robot for Commercial Purpose". International Research Journal on Advanced Science Hub, 4, 07, 2022, 192-197. doi: 10.47392/irjash.2022.047
18. Manikandan N; Swaminathan G; Dinesh J; Manish Kumar S; Kishore T; Vignesh R. "Significant Attention in Industry and Academia for Wire Arc Additive Manufacturing (WAAM) - A Review". International Research Journal on Advanced Science Hub, 4, 07, 2022, 198-204. doi: 10.47392/irjash.2022.048
19. Shoeb Ahmed Syed; Steve Ales; Rajesh Kumar Behera; Kamalakanta Muduli. "Challenges, Opportunities and Analysis of the Machining Characteristics in hybrid Aluminium Composites (Al6061-SiC-Al2O3 ) Produced by Stir Casting Method". International Research Journal on Advanced Science Hub, 4, 08, 2022, 205-216. doi: 10.47392/irjash.2022.051
20. Ashima Saxena; Preeti Chawla. "A Study on the Role of Demographic Variables on Online Payment in Delhi NCR". International Research Journal on Advanced Science Hub, 4, 08, 2022, 217-221. doi: 10.47392/irjash.2022.052
21. Vishnupriya S; Nirsandh Ganesan; Ms. Piriyanga; Kiruthiga Devi. "Introducing Fuzzy Logic for Software Reliability Admeasurement". International Research Journal on Advanced Science Hub, 4, 09, 2022, 222-226. doi: 10.47392/irjash.2022.056
22. GANESAN M; Mahesh G; Baskar N. "An user friendly Scheme of Numerical Representation for Music Chords". International Research Journal on Advanced Science Hub, 4, 09, 2022, 227-236. doi: 10.47392/irjash.2022.057
23. Nirsandh Ganesan; Nithya Sri Chandrasekar; Ms. Gokila; Ms. Varsha. "Decision Model Based Reliability Prediction Framework". International Research Journal on Advanced Science Hub, 4, 10, 2022, 236-242. doi: 10.47392/irjash.2022.061
24. Vishnupriya S; Nithya Sri Chandrasekar; Nirsandh Ganesan; Ms. Mithilaa; Ms. Jeyashree. "Comprehensive Analysis of Power and Handloom Market Failures and Potential Regrowth Options". International Research Journal on Advanced Science Hub, 4, 10, 2022, 243-250. doi: 10.47392/irjash.2022.062
25. Minh Duc Ly; Que Nguyen Kieu Viet. "Improvement Productivity and Quality by Using Lean Six Sigma: A Case Study in Mechanical Manufacturing". International Research Journal on Advanced Science Hub, 4, 11, 2022, 251-266. doi: 10.47392/irjash.2022.066
26. Ragunath A; Poonam Syal. "Net Zero Energy Buildings Initiatives - A Review". International Research Journal on Advanced Science Hub, 4, 11, 2022, 267-271. doi: 10.47392/irjash.2022.067
27. Suresh P; Justin Jayaraj K; Aravintha Prasad VC; Abishek Velavan; Mr Gokulnath. "Deep Learning for Covid-19 Identification: A Comparative Analysis". International Research Journal on Advanced Science Hub, 4, 11, 2022, 272-280. doi: 10.47392/irjash.2022.068
28. Chirag H B; Darshan M; Rakesh M D; Priyanka D S; Manjunath Aradya. "Prediction of Concrete Compressive Strength Using Artificial Neural Network". International Research Journal on Advanced Science Hub, 4, 11, 2022, 281-287. doi: 10.47392/irjash.2022.069
29. Minh Ly Duc; Que Nguyen Kieu Viet. "Analysis Affect Factors of Smart Meter A PLS-SEM Neural Network". International Research Journal on Advanced Science Hub, 4, 12, 2022, 288-301. doi: 10.47392/irjash.2022.071
30. Lely Novia; Muhammad Basri Wello. "Analysis of Interpersonal Skill Learning Outcomes in Business English Students Class". International Research Journal on Advanced Science Hub, 4, 12, 2022, 302-305. doi: 10.47392/irjash.2022.072
31. Ms. Nikita; Sandeep Kumar; Prabhakar Agarwal; Manisha Bharti. "Comparison of multi-class motor imagery classification methods for EEG signals". International Research Journal on Advanced Science Hub, 4, 12, 2022, 306-311. doi: 10.47392/irjash.2022.073
32. Aniket Manash; Ratan Kumar; Rakesh Kumar; Pandey S C; Saurabh Kumar. "Elastic properties of ferrite nanomaterials: A compilation and a review". International Research Journal on Advanced Science Hub, 4, 12, 2022, 312-317. doi: 10.47392/irjash.2022.074
33. Prabin Kumar; Rahul Kumar; Ragul Kumar; Vivek Rai; Aniket Manash. "A Review on coating of steel with nanocomposite for industrial applications". International Research Journal on Advanced Science Hub, 4, 12, 2022, 318-323. doi: 10.47392/irjash.2022.075
34. Twinkle Beniwal; Vidhu K. Mathur. "Cloud Kitchens and its impact on the restaurant industry". International Research Journal on Advanced Science Hub, 4, 12, 2022, 324-335. doi: 10.47392/irjash.2022.076
35. T. Pravin, C. Somu, R. Rajavel, M. Subramanian, P. Prince Reynold, Integrated Taguchi cum grey relational experimental analysis technique (GREAT) for optimization and material characterization of FSP surface composites on AA6061 aluminium alloys, Materials Today: Proceedings,Volume 33, Part 8, 2020, Pages 5156-5161, ISSN 2214-7853. doi.org/10.1016/j.matpr.2020.02.863.
36. R. Ranjith, C. Somu, G. Tharanitharan, Venkatajalapathi.T, Naveenkumar M, Integrated Taguchi cum Grey Relational Experimental Analysis (GREAT) for Optimization and Machining Characterization of Cryogenic Cooled AA6063 Aluminium Alloys, Materials Today: Proceedings, Volume 18, Part 7, 2019,Pages 3597- 605, https://doi.org/10.1016/j.matpr.2019.07. 291.
37. R. Devi Priya, R. Sivaraj, Ajith Abraham, T. Pravin, P. Sivasankar and N. Anitha. "Multi-Objective Particle Swarm Optimization Based Preprocessing of Multi-Class Extremely Imbalanced Datasets". International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems Vol. 30, No. 05, pp. 735-755 (2022). Doi: 10.1142/S0218488522500209
38. M. S. N. K. Nijamudeen, G. Muthuarasu, G. Gokulkumar, A. Nagarjunan, and T. Pravin, “Investigation on mechanical properties of aluminium with copper and silicon carbide using powder metallurgy technique,” Advances in Natural and Applied Sciences, vol. 11, no. 4, pp. 277–280, 2017.
39. Pravin T, M. Subramanian, R. Ranjith,Clarifying the phenomenon of Ultrasonic Assisted Electric discharge machining, “Journal of the Indian Chemical Society”, Volume 99, Issue 10, 2022, 100705, ISSN 0019-4522, Doi: 10.1016/j.jics.2022.100705
40. V.S. Rajashekhar; T. Pravin; K. Thiruppathi , “Control of a snake robot with 3R joint mechanism”, International Journal of Mechanisms and Robotic Systems (IJMRS), Vol. 4, No. 3, 2018. Doi: 10.1504/IJMRS.2018.10017186
41. T. Pravin, M. Sadhasivam, and S. Raghuraman, “Optimization of process parameters of Al-10% Cu compacts through powder metallurgy,” Applied Mechanics and Materials, vol. 813-814, pp. 603–607, 2010.
42. Rajashekhar, V., Pravin, T., Thiruppathi, K.: A review on droplet deposition manufacturing-a rapid prototyping technique. Int. J. Manuf. Technol. Manage. 33(5), 362–383 (2019) https://doi.org/10.1504/IJMTM.2019.103277
43. Rajashekhar V S, Pravin T, Thirupathi K, Raghuraman S.Modeling and Simulation of Gravity based Zig-zag Material Handling System for Transferring Materials in Multi Floor Industries. Indian Journal of Science and Technology.2015 Sep, 8(22), pp.1-6.
How to Cite This Article:
S.Karthikraja, R.Tamilarasu, R.Abdul Razzak, P.Gnanasurya, S.Hariharan
. EFFICIENT AND PRIVACY-PRESERVING ONLINE FINGERPRINT AUTHENTICATION SCHEME OVER OUTSOURCED DATA
. ijetms;7(2):485-493. DOI: 10.46647/ijetms.2023.v07i02.056
