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Review Article

Cryptography and Trust in Distributed Systems: A Review from Lightweight and Quantum-Safe Cryptography to Blockchain, Privacy-Preserving Learning and Moving-Target Defence

Open Access Peer Reviewed Crossref DOI

Authors

  • M. Kottairaja1
  • R. Kennedy2
  • M. Karthi Rajan3

1 Assistant Professor, Department of Mathematics & Computer Science, Sethu Bhaskara Agricultural College and Research Foundation, Karaikudi, Tamilnadu, India. 2 Assistant Professor, Department of Physics, The American College, Madurai, Tamilnadu, India. 3 Librarian, Sethu Bhaskara Agricultural College & Research Foundation, Karaikudi, Tamilnadu, India.

Article Information

Published Online
September-December 2026
Pages
424-432
Article Type
Review Article
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References

1. National Institute of Standards and Technology, "Digital signature standard (DSS)," FIPS 186-5, Feb. 2023, doi: 10.6028/NIST.FIPS.186-
5.
2. V. S. Prakash, K. K. Thavamani, A. Sivakumar, R. Kumar, T. Margaret Mary, and P. Poongothai, "Experimental evaluation of an elliptical
curve cryptographic model based data security over communication channels using cybersecurity logics," in Proc. International
Conference on Intelligent Systems for Cybersecurity (ISCS), 2024, doi: 10.1109/ISCS61804.2024.10581344.
3. P. W. Shor, "Polynomial-time algorithms for prime factorization and discrete logarithms on a quantum computer," SIAM Journal on
Computing, vol. 26, no. 5, pp. 1484–1509, 1997, doi: 10.1137/S0097539795293172.
4. S. Pandikumar, K. V. Shaheena, and T. Dinesh, "Upgrading industrial automation with 5G and IoT," in Innovations and Trends in Modern
Computer Science Technology – Overview, Challenges and Applications, S. Pandikumar and M. K. Thakur, Eds. QTanalytics, 2024, pp.
57–77, doi: 10.48001/978-81-980647-5-2-5.
5. S. Rose, O. Borchert, S. Mitchell, and S. Connelly, "Zero trust architecture," National Institute of Standards and Technology, NIST SP
800-207, Aug. 2020, doi: 10.6028/NIST.SP.800-207.
6. A. Sangamithra, T. Margaret Mary, and G. Clinton, "Overview of edge computing and its exploring characteristics," in Cases on Edge
Computing and Analytics. Hershey, PA, USA: IGI Global, 2021, pp. 73–94, doi: 10.4018/978-1-7998-4873-8.ch004.
7. D. J. Bernstein and T. Lange, "Post-quantum cryptography," Nature, vol. 549, no. 7671, pp. 188–194, 2017, doi: 10.1038/nature23461.8. S. Pandikumar, M. O. Pallavi, C. Dhanush, and M. Arun, "Quantum safe cryptography – An overview," in Innovations and Trends in
Modern Computer Science Technology – Overview, Challenges and Applications, S. Pandikumar and M. K. Thakur, Eds. QTanalytics,
2024, pp. 30–56, doi: 10.48001/978-81-980647-5-2-4.
9. T. M. Fernández-Caramès, "From pre-quantum to post-quantum IoT security: A survey on quantum-resistant cryptosystems for the
Internet of Things," IEEE Internet of Things Journal, vol. 7, no. 7, pp. 6457–6480, 2020, doi: 10.1109/JIOT.2019.2958788.
10. M. S. Ali, M. Vecchio, M. Pincheira, K. Dolui, F. Antonelli, and M. H. Rehmani, "Applications of blockchains in the Internet of Things:
A comprehensive survey," IEEE Communications Surveys & Tutorials, vol. 21, no. 2, pp. 1676–1717, 2019, doi:
10.1109/COMST.2018.2886932.
11. V. Mothukuri, R. M. Parizi, S. Pouriyeh, Y. Huang, A. Dehghantanha, and G. Srivastava, "A survey on security and privacy of federated
learning," Future Generation Computer Systems, vol. 115, pp. 619–640, 2021, doi: 10.1016/j.future.2020.10.007.
12. J.-H. Cho, D. P. Sharma, H. Alavizadeh, S. Yoon, N. Ben-Asher, T. J. Moore, D. S. Kim, H. Lim, and F. F. Nelson, "Toward proactive,
adaptive defense: A survey on moving target defense," IEEE Communications Surveys & Tutorials, vol. 22, no. 1, pp. 709–745, 2020,
doi: 10.1109/COMST.2019.2963791.
13. S. Sengupta, A. Chowdhary, A. Sabur, A. Alshamrani, D. Huang, and S. Kambhampati, "A survey of moving target defenses for network
security," IEEE Communications Surveys & Tutorials, vol. 22, no. 3, pp. 1909–1941, 2020, doi: 10.1109/COMST.2020.2982955.
14. S. Pandikumar and S. Ambethkar, "A design of authentication and access control model for remote access using GSM technologies,"
International Journal of Computer Applications, vol. 57, no. 14, pp. 12–15, Nov. 2012, doi: 10.5120/9181-3601.
15. M. Sönmez Turan, K. McKay, D. Chang, L. Bassham, J. Kang, N. Waller, J. Kelsey, and D. Hong, "Status report on the final round of
the NIST lightweight cryptography standardization process," National Institute of Standards and Technology, NIST IR 8454, 2023, doi:
10.6028/NIST.IR.8454.
16. C. Dobraunig, M. Eichlseder, F. Mendel, and M. Schläffer, "Ascon v1.2: Lightweight authenticated encryption and hashing," Journal of
Cryptology, vol. 34, no. 3, Art. no. 33, 2021, doi: 10.1007/s00145-021-09398-9.
17. K. S. Divya, T. Margaret Mary, S. Chakrabarti, V. S. Prakash, and K. S. Chitra, "Optimizing lightweight cryptographic protocols for
secure communication in Internet of Things (IoT) devices," in Proc. IEEE 5th International Conference on Communication, Computing
and Industry 6.0 (C2I6), 2024, doi: 10.1109/C2I663243.2024.10894917.
18. National Institute of Standards and Technology, "Ascon-based lightweight cryptography standards for constrained devices," NIST SP
800-232, Aug. 2025, doi: 10.6028/NIST.SP.800-232.
19. M. Balamurugan, G. Gunasekaran, T. Margaret Mary, and R. Kalaiarasi, "Optimized cloud security using time-oriented latency
approximation-based data encryption with Levy-flight whale optimization," SN Computer Science, vol. 7, no. 5, Art. no. 445, 2026, doi:
10.1007/s42979-026-05052-y.
20. M. Mosca, "Cybersecurity in an era with quantum computers: Will we be ready?" IEEE Security & Privacy, vol. 16, no. 5, pp. 38–41,
2018, doi: 10.1109/MSP.2018.3761723.
21. A. G. Fowler, M. Mariantoni, J. M. Martinis, and A. N. Cleland, "Surface codes: Towards practical large-scale quantum computation,"
Physical Review A, vol. 86, no. 3, Art. no. 032324, 2012, doi: 10.1103/PhysRevA.86.032324.
22. C. Gidney and M. Ekerå, "How to factor 2048 bit RSA integers in 8 hours using 20 million noisy qubits," Quantum, vol. 5, Art. no. 433,
2021, doi: 10.22331/q-2021-04-15-433.
23. C. Gidney, "How to factor 2048 bit RSA integers with less than a million noisy qubits," arXiv preprint arXiv:2505.15917, 2025, doi:
10.48550/arXiv.2505.15917.
24. G. Alagic, D. Apon, D. Cooper, Q. Dang, T. Dang, J. Kelsey, J. Lichtinger, Y.-K. Liu, C. Miller, D. Moody, R. Peralta, R. Perlner, A.
Robinson, and D. Smith-Tone, "Status report on the third round of the NIST post-quantum cryptography standardization process,"
National Institute of Standards and Technology, NIST IR 8413-upd1, 2022, doi: 10.6028/NIST.IR.8413-upd1.
25. National Institute of Standards and Technology, "Module-lattice-based key-encapsulation mechanism standard," FIPS 203, Aug. 2024,
doi: 10.6028/NIST.FIPS.203.
26. National Institute of Standards and Technology, "Module-lattice-based digital signature standard," FIPS 204, Aug. 2024, doi:
10.6028/NIST.FIPS.204.
27. National Institute of Standards and Technology, "Stateless hash-based digital signature standard," FIPS 205, Aug. 2024, doi:
10.6028/NIST.FIPS.205.
28. C. Paquin, D. Stebila, and G. Tamvada, "Benchmarking post-quantum cryptography in TLS," in Post-Quantum Cryptography (PQCrypto
2020), Lecture Notes in Computer Science, vol. 12100. Cham, Switzerland: Springer, 2020, pp. 72–91, doi: 10.1007/978-3-030-44223-
1_5.
29. M. Castro and B. Liskov, "Practical Byzantine fault tolerance," in Proc. 3rd USENIX Symposium on Operating Systems Design and
Implementation (OSDI), New Orleans, LA, USA, 1999, pp. 173–186.
30. S. Pandikumar, C. Menaka, and N. Sevugapandi, "Behavior prediction in social networks using feedforward neural network algori thm,"
in Innovations and Trends in Modern Computer Science Technology – Overview, Challenges and Applications, S. Pandikumar and M.
K. Thakur, Eds. QTanalytics, 2024, pp. 1–8, doi: 10.48001/978-81-980647-5-2-1.
31. S. Nakamoto, "Bitcoin: A peer-to-peer electronic cash system," 2008. [Online]. Available: https://bitcoin.org/bitcoin.pdf
32. K. Croman, C. Decker, I. Eyal, A. E. Gencer, A. Juels, A. Kosba, A. Miller, P. Saxena, E. Shi, E. G. Sirer, D. Song, and R. Wattenhofer,
"On scaling decentralized blockchains," in Financial Cryptography and Data Security (FC 2016 Workshops), Lecture Notes in Computer
Science, vol. 9604. Berlin, Germany: Springer, 2016, pp. 106–125, doi: 10.1007/978-3-662-53357-4_8.
33. E. Androulaki, A. Barger, V. Bortnikov, C. Cachin, K. Christidis, A. De Caro, D. Enyeart, C. Ferris, G. Laventman, Y. Manevich, S.
Muralidharan, C. Murthy, B. Nguyen, M. Sethi, G. Singh, K. Smith, A. Sorniotti, C. Stathakopoulou, M. Vukolić, S. W. Cocco, and J.
Yellick, "Hyperledger Fabric: A distributed operating system for permissioned blockchains," in Proc. 13th EuroSys Conference, Porto,
Portugal, 2018, Art. no. 30, doi: 10.1145/3190508.3190538.
34. T. K. S. Rathish Babu, S. Pandikumar, K. Sathishkumar, Z. Kurbonov, A. Thahaseen, and A. M. J. M. Z. Rahman, "Blockchain-enhanced
secure RF link transmission in antenna-constrained industrial IoT systems," National Journal of Antennas and Propagation, vol. 7, no.
1, pp. 270–279, 2025, doi: 10.31838/NJAP/07.01.30.
35. B. McMahan, E. Moore, D. Ramage, S. Hampson, and B. A. y Arcas, "Communication-efficient learning of deep networks from
decentralized data," in Proc. 20th International Conference on Artificial Intelligence and Statistics (AISTATS), PMLR vol. 54, 2017, pp.
1273–1282.
36. S. Pandikumar, A. Bostani, D. Sundaranarayana, I. Fakhriddin, D. Alimjon, U. Ilkhom, and A. Juraboyev, "AI-driven nonlinear
optimization for knowledge extraction and pattern analysis in IoT-enabled data mining systems," Results in Nonlinear Analysis, vol. 8,
no. 3, pp. 36–46, 2025, doi: 10.31838/rna/2025.08.03.005.
37. L. Zhu, Z. Liu, and S. Han, "Deep leakage from gradients," in Advances in Neural Information Processing Systems, vol. 32, 2019, pp.
14774–14784.
38. C. Anusha, P. S. Ambili, P. D. Sowmya, A. Surendran, and T. Margaret Mary, "The role of AI technologies in data privacy and protection
in the metaverse era: A detailed review," in Proc. International Conference on Intelligent Systems and Pioneering Innovations in Robotics
and Electric Mobility (INSPIRE), 2025, pp. 712–717, doi: 10.1109/INSPIRE67328.2025.11300487.
39. K. Bonawitz, V. Ivanov, B. Kreuter, A. Marcedone, H. B. McMahan, S. Patel, D. Ramage, A. Segal, and K. Seth, "Practical secure
aggregation for privacy-preserving machine learning," in Proc. ACM SIGSAC Conference on Computer and Communications Security
(CCS), Dallas, TX, USA, 2017, pp. 1175–1191, doi: 10.1145/3133956.3133982.
40. M. Abadi, A. Chu, I. Goodfellow, H. B. McMahan, I. Mironov, K. Talwar, and L. Zhang, "Deep learning with differential privacy," in
Proc. ACM SIGSAC Conference on Computer and Communications Security (CCS), Vienna, Austria, 2016, pp. 308–318, doi:
10.1145/2976749.2978318.
41. S. Pandikumar, V. Pandimurugan, A. Rama Prasath, S. Karattil, S. C. B. Jaganathan, and P. Vigneshwaran, "A novel framework for
differential privacy based federated continual learning for dynamic medical data analysis," SN Computer Science, vol. 7, no. 6, Art. no.
664, 2026, doi: 10.1007/s42979-026-05245-5.
42. [42] O. K. Sahingoz, E. Buber, O. Demir, and B. Diri, "Machine learning based phishing detection from URLs," Expert Systems with
Applications, vol. 117, pp. 345–357, 2019, doi: 10.1016/j.eswa.2018.09.029.
43. C. Jamunadevi, S. Pandikumar, N. N, S. Prasath, and D. S, "Enhancing cybersecurity using machine learning strategies for phishing
defense," in Proc. 9th International Conference on Communication and Electronics Systems (ICCES), Coimbatore, India, 2024, pp. 801–
808, doi: 10.1109/ICCES63552.2024.10859402.
44. S. Jajodia, A. K. Ghosh, V. Swarup, C. Wang, and X. S. Wang, Eds., Moving Target Defense: Creating Asymmetric Uncertainty for
Cyber Threats, Advances in Information Security, vol. 54. New York, NY, USA: Springer, 2011, doi: 10.1007/978-1-4614-0977-9.
45. D. Gopinath, M. Balamurugan, T. Margaret Mary, A. Kanagaraj, and S. Sharmila, "Dynamic mimic-based moving target defense
mechanisms for enhancing security and resilience in mobile ad hoc networks," in Proc. 4th International Conference on Intelligent
Computing, Information and Control Systems (ICOIICS), 2025, pp. 487–493, doi: 10.1109/ICOIICS67115.2025.11390105.
46. V.-L. Nguyen, P.-C. Lin, B.-C. Cheng, R.-H. Hwang, and Y.-D. Lin, "Security and privacy for 6G: A survey on prospective technologies
and challenges," IEEE Communications Surveys & Tutorials, vol. 23, no. 4, pp. 2384–2428, 2021, doi: 10.1109/COMST.2021.3108618.
47. S. Pandikumar, A. Bostani, A. Srinivasan, G. Menaka, J. Chandhini, R. Sabitha, and K. Sathishkumar, "Fuzzy logic-driven nonlinear
optimization for resource allocation in 6G networks," Results in Nonlinear Analysis, vol. 8, no. 2, pp. 239–252, 2025, doi:
10.31838/rna/2025.08.02.019.
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