A multi-tier security system (SAIL) for protecting audio signals from malicious exploits

  • N. Sasikaladevi
  • K. Geetha
  • K. N. Venkata Srinivas
Article
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Abstract

This paper proposes a multi-tier SegmEntation ECC Desegmentation (SEED) model to suit audio cryptosystem for Securing Audio sIgnal (SAIL) based on discrete wavelet transform and elliptic curve encryption. It is aimed with the prospect of enhancing the level of security in digital audio communication for unreliable public networks. The proposed SAIL system works as a multitier SEED model by performing segmentation, DWT compression, ECC encryption and desegmentation. In the reverse process, this multitier model proceeds with segmentation, decryption, decompression, and desegmentation. The novelty of this work relies on the adoption of ECC for encryption as it is first of its kind in audio streaming. The selection of appropriate ECC curve is a real challenge, and complex multiplication method has been applied. ECC has been chosen for encryption as it has been identified as a discrete logarithm problem which is resistant to be attacked by quantum computers. The performance of the recommended SAIL cryptosystem has been tested using different audio samples characterizing human voice, animal voice and Instrumental music. Analysis of the proposed model shows the effectiveness for fast audio encryption as it works on compressed data and also computationally simple. Various statistical analysis have been done on the proposed model, and the obtained result ratifies better level protection of audio signals from different security threats and can be recommended for multi channel audio processing.

Keywords

Discrete wavelet transform Elliptic curve cryptography Audio encryption 
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Notes

Acknowledgements

This 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).

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Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Department of Computer Science and Engineering, School of ComputingSASTRA Deemed UniversityThanjavurIndia

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