Abstract
Increasing evolution of technology demands the innovative applications. E-commerce, e-banking, e-health, and e-payment, etc. being carried out by mobile devices. Mobile device-based speaker authentication is one of the predominant biometric-based authentication schemes. As the mobile devices are vulnerable to physical attacks, speech template stored in the mobile devices may be compromised. To protect the speech template, it should be stored in the encrypted form. Audio templates produce the large bitstream that leads to long encryption phase. Hence, there is a need for lightweight cryptosystem for audio template protection. In This paper, a light weight cryptographic algorithm based on Genus-2 Hyper-Elliptic Curves in Jacobi field is proposed. Genus-2 curves are deployed over a field F such that |F| ≈ \( 2^{80} \). With these features, improved security is provided for the stored data.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
James, S.P., George, S.N., Deepthi, P.P.: An audio encryption technique based on LFSR based alternating step generator. In: 2014 IEEE International Conference on Electronics, Computing and Communication Technologies (IEEE CONECCT). IEEE (2014)
Dengre, Amit, Gawande, A.D.: Audio encryption and digital image watermarking in an uncompress video. Int. J. Adv. Appl. Sci. 4(2), 66–72 (2015)
Cichowski, J., Czyzewski, A.. “Sensitive audio data encryption for multimodal surveillance systems. In: Audio Engineering Society Convention, vol. 132. Audio Engineering Society (2012)
Datta, K., Gupta, I.S.: Partial encryption and watermarking scheme for audio files with controlled degradation of quality. Multimedia tools Appl. 64(3), 649–669 (2013)
Rashidi, B., Rashidi, B.: FPGA based a new low power and self-timed AES 128-bit encryption algorithm for encryption audio signal. Int. J. Comput. Netw. Inf. Secur. 5(2), 10 (2013)
Nguyen, H.H., Mehaoua, A., Hong, J.W.K.: Secure medical tele-consultation based on voice authentication and realtime audio/video encryption. In: 2013 First International Symposium on Future Information and Communication Technologies for Ubiquitous HealthCare (Ubi-HealthTech). IEEE (2013)
Kulkarni, S.A., Patil, S.B.: A robust encryption method for speech data hiding in digital images for optimized security. In: 2015 International Conference on Pervasive Computing (ICPC). IEEE (2015)
Asok, S.B., et al.: A secure cryptographic scheme for audio signals. In: 2013 International Conference on Communications and Signal Processing (ICCSP). IEEE (2013)
Iyer, S.C., Sedamkar, R.R., Gupta, S.: A novel idea on multimedia encryption using hybrid crypto approach. Procedia Comput. Sci. 79, 293–298 (2016)
Fazeen, M., Bajwa, G., Dantu, R.: Context-aware multimedia encryption in mobile platforms. In: Proceedings of the 9th Annual Cyber and Information Security Research Conference. ACM (2014)
Washio, S., Watanabe, Y.: Security of audio secret sharing scheme encrypting audio secrets with bounded shares. In: 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE (2014)
Zhao, H., et al.: Dual key speech encryption algorithm based underdetermined BSS. Sci. World J. 2014 (2014)
Zeng, L., et al.: Scrambling-based speech encryption via compressed sensing. EURASIP J. Adv. Signal Process. 2012(1), 257 (2012)
Lu, X., et al.: Digital audio information hiding based on Arnold transformation and double random-phase encoding technique. Optik-Int. J. Light Electron Optics 123(8), 697–702 (2012)
Acknowledgment
The part of this research work is supported by Department of Science and Technology (DST), Science and Engineering Board (SERB), Government of India under the ECR grant (ECR/2017/000679/ES).
Author information
Authors and Affiliations
Corresponding authors
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Sasikaladevi, N., Revathi, A., Mahalakshmi, N., Archana, N. (2018). HEAP- Genus 2 HyperElliptic Curve Based Biometric Audio Template Protection. In: Singh, M., Gupta, P., Tyagi, V., Flusser, J., Ören, T. (eds) Advances in Computing and Data Sciences. ICACDS 2018. Communications in Computer and Information Science, vol 905. Springer, Singapore. https://doi.org/10.1007/978-981-13-1810-8_31
Download citation
DOI: https://doi.org/10.1007/978-981-13-1810-8_31
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-13-1809-2
Online ISBN: 978-981-13-1810-8
eBook Packages: Computer ScienceComputer Science (R0)