A Survey about Post Quantum Cryptography Methods
Open accessAbstract
Cryptography is an art of hiding the significant data or information with some other codes. It is a practice and study of securing information and communication. Thus, cryptography prevents third party intervention over the data communication. The cryptography technology transforms the data into some other form to enhance security and robustness against the attacks. The thrust of enhancing the security among data transfer has been emerged ever since the need of Artificial Intelligence field came into a market. Therefore, modern way of computing cryptographic algorithm came into practice such as AES, 3DES, RSA, Diffie-Hellman and ECC. These public-key encryption techniques now in use are based on challenging discrete logarithms for elliptic curves and complex factorization. However, those two difficult problems can be effectively solved with the help of sufficient large-scale quantum computer. The Post Quantum Cryptography (PQC) aims to deal with an attacker who has a large-scale quantum computer. Therefore, it is essential to build a robust and secure cryptography algorithm against most vulnerable pre-quantum cryptography methods. That is called ‘Post Quantum Cryptography’. Therefore, the present crypto system needs to propose encryption key and signature size is very large.in addition to careful prediction of encryption/decryption time and amount of traffic over the communication wire is required. The post-quantum cryptography (PQC) article discusses different families of post-quantum cryptosystems, analyses the current status of the National Institute of Standards and Technology (NIST) post-quantum cryptography standardisation process, and looks at the difficulties faced by the PQC community.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Quantum computers could break current cryptographic systems.
“Rapid developments have led to more precise calculations that are made by quantum computers to easily convert the ciphered message, which could break current cryptographic systems [17,18].”
From A hybrid encryption algorithm based on AES and Kyber for secure image protection in the post-quantum era (2026) · cites this paper as [18]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Fernandez-Carames, T. M., & Fraga-Lamas, P. (2020) · IEEE Access · doi:10.1109/access.2020.2968985 · Cited by 607 · see citing works
High-Performance Ideal Lattice-Based Cryptography on 8-Bit ATxmega Microcontrollers
Pöppelmann, T., Oder, T., & Güneysu, T. E. (2015) · Lecture notes in computer science · doi:10.1007/978-3-319-22174-8_19 · Cited by 147 · see citing works
Survey of Promising Technologies for Quantum Drones and Networks
Kumar, A., Bhatia, S., Kaushik, K., Gandhi, S. M., Devi, S. G., Pacheco, D. A. D. J., & Mashat, A. (2021) · IEEE Access · doi:10.1109/access.2021.3109816 · Cited by 84 · see citing works
Digital Image Encryption Algorithm Based on Elliptic Curve Public Cryptosystem
Zhang, X., & Wang, X. (2018) · IEEE Access · doi:10.1109/access.2018.2879844 · Cited by 82 · see citing works
Efficient Discrete Feature Encoding for Variational Quantum Classifier
Yano, H., Suzuki, Y., Itoh, K. M., Raymond, R., & Yamamoto, N. (2020) · IEEE International Conference on Quantum Computing and Engineering (QCE) · doi:10.1109/qce49297.2020.00012 · Cited by 73 · see citing works
Elliptic Curve Cryptography Point Multiplication Core for Hardware Security Module
Mehrabi, A., Doche, C., & Jolfaei, A. (2020) · IEEE Transactions on Computers · doi:10.1109/tc.2020.3013266 · Cited by 66 · see citing works
Oder, T., Pöppelmann, T., & Güneysu, T. E. (2014) · ACM/IEEE Design Automation Conference (DAC) · doi:10.1145/2593069.2593098 · Cited by 53 · see citing works
Network Coding-Based Post-Quantum Cryptography
Cohen, A., D’Oliveira, R. G. L., Salamatian, S., & Médard, M. (2021) · IEEE Journal on Selected Areas in Information Theory · doi:10.1109/jsait.2021.3054598 · Cited by 51 · see citing works
Quantum-Resistant Cryptography for the Internet of Things Based on Location-Based Lattices
Althobaiti, O. S., & Döhler, M. (2021) · IEEE Access · doi:10.1109/access.2021.3115087 · Cited by 46 · see citing works
A Generalized Quantum Protocol for Secure Multiparty Summation
Sutradhar, K., & Om, H. (2020) · IEEE Transactions on Circuits & Systems II Express Briefs · doi:10.1109/tcsii.2020.2989447 · Cited by 40 · see citing works
Parallel Device-Independent Quantum Key Distribution
Jain, R., Miller, C. A., & Shi, Y. (2020) · IEEE Transactions on Information Theory · doi:10.1109/tit.2020.2986740 · Cited by 38 · see citing works
Space and Time-Efficient Quantum Multiplier in Post Quantum Cryptography Era
Putranto, D. S. C., Wardhani, R. W., Larasati, H. T., & Kim, H. (2023) · IEEE Access · doi:10.1109/access.2023.3252504 · Cited by 34 · see citing works
Quantum Cryptography: A Pathway to Secure Communication
Giroti, I., & Malhotra, M. (2022) · International Conference on Computation System and Information Technology for Sustainable Solutions (CSITSS) · doi:10.1109/csitss57437.2022.10026388 · Cited by 29 · see citing works
Lightweight Aggregated Data Encryption for Wireless Sensor Networks (WSNs)
Harn, L., Hsu, C.-F., Xia, Z., & He, Z. (2021) · IEEE Sensors Letters · doi:10.1109/lsens.2021.3063326 · Cited by 29 · see citing works
Novel One Time Signatures (NOTS): A Compact Post-Quantum Digital Signature Scheme
Shahid, F., Ahmad, I., Imran, M. A., & Shoaib, M. (2020) · IEEE Access · doi:10.1109/access.2020.2966259 · Cited by 23 · see citing works
Post Quantum Cryptography: Comparison between RSA and McEliece
Pratama, I. P. A. E., & Adhitya, I. G. N. A. K. (2022) · International Conference on ICT for Smart Society (ICISS) · doi:10.1109/iciss55894.2022.9915232 · Cited by 14 · see citing works
On McEliece-Type Cryptosystems Using Self-Dual Codes With Large Minimum Weight
Mariot, L., Picek, S., & Yorgova, R. (2023) · IEEE Access · doi:10.1109/access.2023.3271767 · Cited by 13 · see citing works
New advanced computing architecture for cryptography design and analysis by D-Wave quantum annealer
Ji, X., Wang, B., Hu, F., Wang, C., & Zhang, H. (2021) · Tsinghua Science & Technology · doi:10.26599/tst.2021.9010022 · Cited by 12 · see citing works
Cryptography in the Quantum Era
Lella, E., Gatto, A., Pazienza, A., Romano, D., Noviello, P., Vitulano, F., & Schmid, G. (2022) · IEEE Workshop on Low Temperature Electronics (WOLTE) · doi:10.1109/wolte55422.2022.9882585 · Cited by 12 · see citing works
Quantum Cryptography and Quantum Key
Sehgal, S. K., & Gupta, R. (2021) · International Conference on Industrial Electronics Research and Applications (ICIERA) · doi:10.1109/iciera53202.2021.9726722 · Cited by 11 · see citing works
Post-Quantum Cryptography Neural Network
Chen, A. C. H. (2023) · International Conference on Smart Systems for Applications in Electrical Sciences (ICSSES) · doi:10.1109/icsses58299.2023.10201083 · Cited by 10 · see citing works
Cryptanalysis of the Ivanov-Kabatiansky-Krouk-Rumenko Cryptosystems
Lee, Y., Cho, J., Kim, Y.-S., & No, J. (2020) · IEEE Communications Letters · doi:10.1109/lcomm.2020.3019054 · Cited by 9 · see citing works
A Ciphertext-Only Attack Against the Cai-Cusick Lattice-Based Public-Key Cryptosystem
Pan, Y., & Deng, Y. (2011) · IEEE Transactions on Information Theory · doi:10.1109/tit.2010.2103790 · Cited by 8 · see citing works
Yu, S., & Huang, Q. (2021) · IEEE Communications Letters · doi:10.1109/lcomm.2021.3137529 · Cited by 6 · see citing works
A Modified McEliece Public-Key Cryptosystem Based On Irregular Codes Of QC-LDPC and QC-MDPC
Hashemi, S. H. O., & Hodtani, G. A. (2019) · Iranian Conference on Electrical Engineering · doi:10.1109/iraniancee.2019.8786376 · Cited by 5 · see citing works
Kaffah, F. M., Gerhana, Y. A., Huda, I. M., Rahman, A., Manaf, K., & Subaeki, B. (2020) · International Conference on Wireless and Telematics (ICWT) · doi:10.1109/icwt50448.2020.9243651 · Cited by 5 · see citing works
Fast and Power-Analysis Resistant Ring Lizard Crypto-Processor Based on the Sparse Ternary Property
Choi, P., Kim, J.-H., & Kim, D. K. (2019) · IEEE Access · doi:10.1109/access.2019.2929299 · Cited by 3 · see citing works
Flagged first, then by citations
Research works printed but not linked: 4
- Karthikeyan BG, Leurent. On the Practical (In- )Security of 64-Bit Block Ciphers: Collision Attacks on HTTP over TLS and OpenVPN: Proceedings of the ACM SIGSAC Conference on Computer and Communications Security; 2016. p. 1-6.
- Cohen A, D'Oliveira R G L, Salamatian S Médard M. Network Coding-Based Post-Quantum Cryptography. in IEEE Journal on Selected Areas in Information Theory. 2021; vol. 2: p. 49-64.
- Jain R, Miller CA Shi Y. Parallel Device-Independent Quantum Key Distribution. IEEE Transactions on Information Theory. 2020; vol. 66: p. 5567-5584.
- Lee Y, Cho J, Kim YS. Cryptanalysis of the Ivanov- Kabatiansky-Krouk-Rumenko Cryptosystems. IEEE Communications Letters.2020; vol. 24: p. 2678-2681.
Cited by
Sorted by citations
Fortifying Future IoT Security: A Comprehensive Review on Lightweight Post-Quantum Cryptography
Mahdi, L. H., & Abdullah, A. A. (2025) · Engineering Technology & Applied Science Research · doi:10.48084/etasr.10141 · Cited by 34 · see citing works
Integration of AI and Quantum Computing in Cybersecurity
Paul, S., Choudhury, N. R., Pandit, B., & Dawn, A. (2024) · Advances in mechatronics and mechanical engineering (AMME) book series · doi:10.4018/979-8-3693-7076-6.ch014 · Cited by 10 · see citing works
Security Aspects of Blockchain Technology
Lankadasu, N. V. Y., Pesarlanka, D. B., Sharma, A. K., & Sharma, S. (2024) · Advances in computer and electrical engineering book series · doi:10.4018/979-8-3693-2869-9.ch014 · Cited by 8 · see citing works
Machine Learning for Predictive Maintenance in Industrial Equipment: Challenges and Application
Kalaiselvi, K., K.Niranjana, Prithivirajan, V., Kumar, K. S., Syambabu, V., & Sathiya, B. (2024) · Asian Conference on Innovation in Technology (ASIANCON) · doi:10.1109/asiancon62057.2024.10837862 · Cited by 7 · see citing works
Performance Analysis of Diverse Active Queue Management Algorithms
Abdel-Jaber, H. (2025) · The International journal of networked and distributed computing · doi:10.1007/s44227-025-00056-1 · Cited by 3 · see citing works
Babitha Lincy, R., Jency Rubia, J., Shibi, C. S., & Nivetha, G. (2024) · International Conference on Communication and Electronics Systems (ICCES) · doi:10.1109/icces63552.2024.10859869 · Cited by 1 · see citing works
Self-citationMitigating Quantum Threats in Space Domain: Challenges and the Role of Post-Quantum Cryptography
Tiwari, A., & Gupta, A. K. (2025) · IEEE Space, Aerospace and Defence Conference (SPACE) · doi:10.1109/space65882.2025.11171230 · Cited by 1 · see citing works
Digital Solutions for Community Health: Enhancing Blood Donation with Mobile Technology
Karthik, S., Vishal Kumar, S., Tamilkumaran, N., Akshayan, K., & Lincy, R. B. (2024) · International Conference on Emerging Technologies and Innovation for Sustainability (EmergIN) · doi:10.1109/emergin63207.2024.10961517 · Cited by 1 · see citing works
Singh, P., Hasija, T., Ramkumar, K. R., & Kanika (2026) · Discover Computing · doi:10.1007/s10791-026-10577-0
Bykovsky, A. Y. (2025) · Applied Sciences · doi:10.3390/app15052427
Recognition and Analysis of Bone Impairment Using Machine Learning
Chandu, P. M. S. S., Subhasree, R., DurgaPrasanna, Y., Jayasree, T., Sri, P. K. R., & Harshavardhan, K. (2024) · International Conference on Communication, Computing and Energy Efficient Technologies (I3CEET) · doi:10.1109/i3ceet61722.2024.10993815
A Quantum-Safe Security Framework for IoT
Ravikumar, R. N., Aarthi, S., Abduraxmanov, A., Atabekovna, R. G., Urozboev, K., & Kavitha Bharathi, S. (2026) · Advances in computational intelligence and robotics book series · doi:10.4018/979-8-3373-3857-6.ch001
Salih, B. J., Qubashi, J. K., & Анікін, В. (2026) · Communications in computer and information science · doi:10.1007/978-3-032-39720-1_2
An Overview of Post-Quantum Cryptography Families
Elmalih, W. A., & Agbinya, J. I. (2026) · Advances in Internet of Things · doi:10.4236/ait.2026.164006
- Authors
- J, J. R., R, B. L., Nithila, E. E., C, S. S., & A, R.
- Affiliations
- Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology (IN)
- Sri Eshwar College of Engineering (IN)
- Venue
- EAI Endorsed Transactions on Internet of Things
- Published
- 2024-02-12
- Volume
- 10
- ISSN
- 2414-1399 (ISSN-L)
- OpenAlex
- W4391744805
- Cited by
- 14
- References
- 27
- Citations by year
- 2026: 4 · 2025: 4 · 2024: 6
- FWCI
- 2.07
- Type
- journal article
- Language
- en
- Open access
- diamond
- doi.org
- Locations
- EAI Endorsed Transactions on Internet of Things (publishedVersion, cc-by)
- Greater South Information System
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Cryptography and Data Security
- Physical Sciences › Computer Science › Information Systems › Cryptography and Residue Arithmetic
- Physical Sciences › Computer Science › Artificial Intelligence › Quantum Information and Cryptography
- Keywords
- post-quantum cryptography, quantum computing threats, public-key encryption, NIST standardization, elliptic curve cryptography, discrete logarithm problem, integer factorization, digital signatures, AES, Diffie-Hellman, 3DES
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review