The DOI matches its Crossref record; 27 of the 28 references it cites were found in a registry or an index.
Statistical Characterization of Decryption Errors in Block-Ciphered Systems
Abstract
It is well known that avalanche effect errors in received noisy ciphertexts will cause severe error propagation in block-ciphered encryption systems, thus resulting in a large reduction in the achievable throughput. However, little is known about the statistical properties of the underlying error sequences in decrypted plaintexts in block-ciphered systems when channel errors are present. A rigorous study of the statistical properties of the errors in block-ciphered crypto-systems operating in cipher block chaining (CBC) mode is provided. The equivalent channel transition probability is obtained and then used to derive error statistics including both error weight probabilities and gap distributions. The validity of the theoretical analyses is confirmed by the excellent match with results obtained by simulated data encryption standard (DES)-based and advanced encryption standard (AES)-based crypto-systems operating in CBC mode. The error statistics will be valuable in the design and performance evaluation of communication protocols, as well as in error-control schemes for block-ciphered crypto-systems in the presence of erroneous ciphertexts, where errors are intentionally left to enhance security against passive eavesdroppers.
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Cites
Cryptography and Network Security: Principles and Practice
Stallings, W. (1998) · Cited by 4,392
Guaranteeing Secrecy using Artificial Noise
Goel, S., & Negi, R. (2008) · IEEE Transactions on Wireless Communications · doi:10.1109/twc.2008.060848 · Cited by 1,941
Webster, A. F., & Tavares, S. E. (2007) · Springer eBooks · doi:10.1007/3-540-39799-x_41 · Cited by 749
Recommendation for block cipher modes of operation: methods and techniques
Dworkin, M. J. (2001) · doi:10.6028/nist.sp.800-38a · Cited by 746
Reliable communication under channel uncertainty
Lapidoth, A., & Narayan, P. (1998) · IEEE Transactions on Information Theory · doi:10.1109/18.720535 · Cited by 501
Evaluation of the performance of error-correcting codes on a Gilbert channel
Yee, J. R., & Weldon, E. J. (1995) · IEEE Transactions on Communications · doi:10.1109/26.403764 · Cited by 233
Wireless Secrecy Regions With Friendly Jamming
Vilela, J. P., Bloch, M. R., Barros, J., et al. (2011) · IEEE Transactions on Information Forensics and Security · doi:10.1109/tifs.2011.2111370 · Cited by 176
Markov Characterization of the HF Channel
Tsai, S. (1969) · IRE Transactions on Communications Systems · doi:10.1109/tcom.1969.1090055 · Cited by 92
Opportunistic Encryption: A Trade-Off between Security and Throughput in Wireless Networks
Haleem, M. A., Mathur, C. N., Chandramouli, R., & Subbalakshmi, K. P. (2007) · IEEE Transactions on Dependable and Secure Computing · doi:10.1109/tdsc.2007.70214 · Cited by 84
An approach for stream ciphers design based on joint computing over random and secret data
Mihaljević, M. J., & Imai, H. (2009) · Computing · doi:10.1007/s00607-009-0035-x · Cited by 33
A New Class of Generative Models for Burst-Error Characterization in Digital Wireless Channels
Wang, C., & Xu, W. T. (2007) · IEEE Transactions on Communications · doi:10.1109/tcomm.2007.892447 · Cited by 33
Trade-Off Between Security and Performance in Block Ciphered Systems With Erroneous Ciphertexts
Wei, S., Wang, J., Yin, R., et al. (2013) · IEEE Transactions on Information Forensics and Security · doi:10.1109/tifs.2013.2248724 · Cited by 30
Self-citationEnumeration of Markov chains and burst error statistics for finite state channel models
Pimentel, C. J. L., & Blake, I. F. (1999) · IEEE Transactions on Vehicular Technology · doi:10.1109/25.752565 · Cited by 29
Enhancement of Secrecy of Block Ciphered Systems by Deliberate Noise
Khiabani, Y. S., Wei, S., Yuan, J., et al. (2012) · IEEE Transactions on Information Forensics and Security · doi:10.1109/tifs.2012.2204983 · Cited by 24
Self-citationAn Information-Theoretic Security Evaluation of a Class of Randomized Encryption Schemes
Oggier, F., & Mihaljević, M. J. (2014) · IEEE Transactions on Information Forensics and Security · doi:10.1109/tifs.2013.2294763 · Cited by 23
End-to-end confidentiality for continuous-media applications in wireless systems
Reason, J. M., & Messerschmitt, D. G. (2001) · Cited by 19
Tradeoff between reliability and security in block ciphering systems with physical channel errors
Yin, R., Wei, S., Yuan, J., et al. (2010) · doi:10.1109/milcom.2010.5680485 · Cited by 15
Self-citationThe Impact of Confidentiality on Quality of Service in Heterogeneous Voice over IP Networks
Reason, J. M., & Messerschmitt, D. G. (2001) · Lecture notes in computer science · doi:10.1007/3-540-45508-6_13 · Cited by 13
An approach for light-weight encryption employing dedicated coding
Mihaljević, M. J. (2012) · Globecom · doi:10.1109/glocom.2012.6503223 · Cited by 10
Linear cryptanalysis against block ciphered system under noisy ciphertexts
Khiabani, Y. S., Wei, S., Yuan, J., et al. (2012) · Globecom · doi:10.1109/glocom.2012.6503220 · Cited by 6
Self-citationFerland, G., & Chouinard, J. (2005) · doi:10.1109/vnis.1992.640229 · Cited by 6
On Modeling Post Decryption Error Processes in UMTS Air Interface
Sattar, F., & Mufti, M. (2008) · Lecture notes in computer science · doi:10.1007/978-3-540-79499-8_40 · Cited by 5
A Security evaluation of certain stream ciphers which involve randomness and coding
Mihaljević, M. J., & Imai, H. (2010) · doi:10.1109/isita.2010.5649616 · Cited by 5
Error Propagation in Various Cipher Block Modes
Burda, K. (2006) · Cited by 5
Performance Analysis of Digital Secure Voice Transmission over HF Radio Channel
Kim, K., & Hong, J.-K. (2009) · Lecture notes in computer science · doi:10.1007/978-3-642-02617-1_35 · Cited by 2
On Post Decryption Error Pobability in Counter Mode Operation with Explicit Counter Transmittal.
Sattar, F., & Mufti, M. (2009) · Cited by 2
An end-to-end exponentially secure secrecy scheme against an unbounded adversary
Khiabani, Y. S., & Wei, S. (2013) · Conference on Information Sciences and Systems · doi:10.1109/ciss.2013.6552269 · Cited by 2
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1 of the 28 references couldn’t be matched to a known paper.
Research works printed but not linked: 1
- mihaljevi?, 2009, A framework for stream ciphers based on pseudorandomness, randomness and error-correcting coding, Enhancing Cryptographic Primitives with Techniques from Error Correcting Codes (Information and Communication Security), 23, 117
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Avoine, G., & Hernandez-Castro, J. C. (2021) · Springer eBooks · doi:10.1007/978-3-030-10591-4 · Cited by 16
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Salam, A., Setiadi, D. R. I. M., Rachmawanto, E. H., et al. (2019) · International Seminar on Application for Technology of Information and Communication (iSemantic) · doi:10.1109/isemantic.2019.8884321 · Cited by 12
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“The function G can be obtained numerically or by using the recursive error weight distribution driven in [9] to calculate the output BER regarding the input BER.”
BackgroundMethodInfluentialSecurity analysis of M‐DES and key‐based coded permutation ciphers in wireless channels
Yap, W., Heng, S., & Goi, B. (2018) · IET Communications · doi:10.1049/iet-com.2017.0566 · Cited by 4
The application of block chain technology in spot exchange
Liu, M. Z., & Zou, Z. (2018) · Journal of Intelligent & Fuzzy Systems · doi:10.3233/jifs-169392 · Cited by 4
“The ABC block chain is responsible for the preservation and inquiry of the accounts, ensuring the exclusivity of the account and not being maliciously tampered with by hackers [9].”
Error Performance of Cryptography Transmission in Wireless Fading Channels
Matalgah, M. M. (2018) · IEEE Vehicular Technology Conference · doi:10.1109/vtcfall.2018.8691006 · Cited by 3
“, [9] - [15] and references therein), only results using simulations have been reported for error performance of encrypted signals [4] - [8].”
ResultSecurity Enhanced Symmetric Key Encryption Employing an Integer Code for the Erasure Channel
Mihaljević, M. J., Radonjić, A., Wang, L., et al. (2022) · Symmetry · doi:10.3390/sym14081709 · Cited by 2
Error burst analysis of a statistical self-synchronizing mode of block ciphers
Heys, H. M. (2016) · Security and Communication Networks · doi:10.1002/sec.1540
Selected Design and Analysis Techniques for Contemporary Symmetric Encryption
Mikhalev, V., Mihaljević, M. J., Kara, O., et al. (2021) · Springer eBooks · doi:10.1007/978-3-030-10591-4_3
Research on identification of domestic commercial block cipher algorithms based on deep learning
Li, L., & Chen, J. (2025) · International Conference on Computer Vision, Application, and Algorithm (CVAA) · doi:10.1117/12.3055806
“…in 2013 [11] , and Wang J et al. in 2015 further explored the use of SVMs, neural networks, and NIST randomness tests for identifying block ciphers such as AES, DES, and SM4, demonstrating the importance of feature extraction and statistical analysis in improving identification outcomes [12-14] .”
An Integer Erasure Correction Coding and Its Application for Security Enhancement of Encryption
Mihaljević, M. J., Radonjić, A., Mijajlović, N., et al. (2025) · IEEE Access · doi:10.1109/access.2025.3579919
“The statistical properties of errors in block-ciphered cryptosystems are analyzed in [46].”
Metadata
- Authors
- Wang, J., Mu, J., Wei, S., Jiang, C., & Beaulieu, N. C.
- Affiliations
- Tsinghua University (CN)
- University of Illinois Urbana-Champaign (US)
- Louisiana State University (US)
- Beijing University of Posts and Telecommunications (CN)
- Venue
- IEEE Transactions on Communications
- Published
- 2015-11
- Volume
- 63
- Issue
- 11
- Pages
- 4363-4376
- ISSN
- 0090-6778 (ISSN-L)
- OpenAlex
- W2184713351
- Semantic Scholar
- 529102e2c76f793a18b2b7f7ca74866df059c784
- Cited by
- 14
- References
- 28
- Citations by year
- 2025: 2 · 2023: 1 · 2022: 1 · 2021: 2 · 2020: 2 · 2019: 1 · 2018: 3 · 2017: 1 · 2016: 1
- FWCI
- 1.55
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- IEEE Transactions on Communications (publishedVersion)
- Civil War Book Review (submittedVersion)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Cryptographic Implementations and Security
- Physical Sciences › Mathematics › Discrete Mathematics and Combinatorics › Coding theory and cryptography
- Physical Sciences › Computer Science › Computer Networks and Communications › Error Correcting Code Techniques
- Keywords
- block cipher, cipher block chaining, avalanche effect, error propagation, error statistics, gap distribution, DES, AES, error control, eavesdropping security
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