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LEACH- Genus 2 Hyper Elliptic Curve Based Secured Light-Weight Visual Cryptography for Highly Sensitive Images

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Abstract

Various data checks and threats prevails in today’s digital environment, as a result of which one’s details get compromised. Existing data encryption techniques are either vulnerable (RSA 256,512,2 K,4 K bits) or exploit the available resources (ECC-160 bits: the size of the encrypted data is significantly more than the actual evidence). In this paper, we provide a new line of sight on extending the available ECC methods, i.e. Genus-2 Hyper Elliptic Curve Based Light-weight Cryptographic technique. Experimental results show that HECC offers enhanced security with Perfect Recovery Schemes and limited utilization of additional space compared to existing ECC methods.

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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)

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Correspondence to N. Sasikaladevi .

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Sasikaladevi, N., Mahalakshmi, N., Archana, N. (2018). LEACH- Genus 2 Hyper Elliptic Curve Based Secured Light-Weight Visual Cryptography for Highly Sensitive Images. 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_30

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  • DOI: https://doi.org/10.1007/978-981-13-1810-8_30

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-1809-2

  • Online ISBN: 978-981-13-1810-8

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