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Course Detail

Course Name Special Topics in Cryptography
Course Code 26CY762
Program M. Tech. in Cyber Security
Credits 3
Campus Coimbatore

Syllabus

Syllabus

Lattice based cryptography – Integer lattices, Hard problems on lattices – Shortest Vector Problem, Closest Vector Problem, Bounded Distance Decoding, Shortest Independent Vector Problem, Learning With Errors, Ring LWE, Short Integer Solution, Ring SIS, Code based cryptography, Hash based cryptography, Homomorphic encryption, BLS signatures, Group signatures, Identity based encryption, Broadcast encryption, Functional encryption, Secure Multi party computation- Visual Cryptography, Quantum Key Distribution (QKD), Quantum Cryptography.

Objectives and Outcomes

Prerequisite

26CY603: Cryptography, 26CY612: Applied Cryptography

Course Outcome

Course Outcome(CO) Bloom’s Taxonomy Level
CO 1 Understanding the NP hard problems on Lattices L2
CO 2 Understanding the hardness of code-based cryptography L4
CO 3 Understanding homomorphic encryption and its applications L4
CO 4 Evaluation of Identity-based cryptosystems and functional encryption L4
CO 5 Understand the concepts of Secure Multi-party computation- Visual Cryptography, Quantum Key Distribution (QKD), Quantum Cryptography L4

CO-PO Mapping

CO-PO Mapping(3-High, 2-Medium, 1-Low)
CO/PO PO 1 PO 2 PO 3 PO 4 PO 5 PO 6 PO 7 PO 8 PO 9 PO 10 PSO1 PSO2 PSO3
CO 1 1 2 2 1 2 1 – 1 2 – 0 0 0
CO 2 1 2 2 1 2 1 – 1 2 – 1 1 1
CO 3 1 2 2 1 2 1 – 1 2 – 1 1 1
CO 4 1 2 2 1 2 1 – 1 2 – 1 1 1
CO 5 1 2 2 1 2 1 – 1 2 – 1 1 1

Text Books / References

  1. Daniele Micciancio and Shafi Goldwasser, Complexity of Lattice Problems: A Cryptographic Perspective, 2002.
  2. J. H . Silverman, The Arithmetic of Elliptic Curves, Vol. 106, Dordrecht: Springer, 2009.
  3. C. Boyd and A. Mathuria, Protocols for Authentication and Key Establishment, Springer, 2010.
  4. L. Dong and K. Chen, Cryptographic Protocol: Security Analysis Based on Trusted Freshness, Springer, 2012.
  5. Peikert, C., A decade of lattice cryptography, Foundations and Trends in Theoretical Computer Science, 10(4), pp.283-424, 2016.
  6. Nielsen, M. A., & Chuang, I. L. (2010). Quantum Computation and Quantum Information (10th Anniversary ed.). Cambridge University Press.
  7. Dan Boneh and Victor Shoup, A Graduate Course in Applied Cryptography, V4, 2017.
  8. Rings and Integer Lattices in Computer Science, lecture notes from the Bellairs-McGill workshop on Computational Complexity in 2007.

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