[1] Balogh, S. G., Palla, G., Pollner, P., & Czegel, D. (2020). Generalized entropies, density of states, and non-extensivity. Scienti c reports, 10(1), 15516.
https://doi.org/10.1038/s41598-020-72421-9
[2] Beck, C. (2009). Generalised information and entropy measures in physics. Contemporary Physics, 50(4), 495-510.
https://doi.org/10.1080/00107510902823517
[3] Cover, T. M., & Thomas, J. A. (1991). Elements of Information Theory. New York:Wiley-Interscience.
https://doi.org/10.1002/0471200611
[4] Csiszar, I., & Korner, J. (1978). Broadcast channels with con dential messages. IEEE Transactions on Information Theory, 24(3), 339-348.
https://doi.org/10.1109/TIT.1978.1055892
[5] Ebrahimi, M., & Mehrpooya, A. (2014). An application of geometry in algebra: uncertainty of hyper MV-algebras. In Proceedings of the 7th seminar on geometry & topology, Tehran (pp. 529-534).
https://dorl.net/dor/20.1001.1.23453942.1393.0.0.8.8
[6] Erokhin, V. (1958). -entropy of a discrete random variable. Theory of Probability and Its Applications, 3(1), 97-100.
https://doi.org/10.1137/1103009
[7] Furuichi, S. (2006). Information theoretical properties of Tsallis entropies. Journal of Mathematical Physics, 47(2), 023302.
https://doi.org/10.1063/1.2165740
[8] Havrda, J., & Charvat, F. (1967). Quanti cation method of classi cation processes. Concept of structural -entropy. Kybernetika, 3(1), 30-35.
https://dml.cz/handle/10338.dmlcz/125229
[9] He, B., Zhou, X., & Swindlehurst, A. L. (2016). On secrecy metrics for physical layer security over quasi-static fading channels. IEEE Transactions on Wireless Communications, 15(10), 6913-6924.
https://doi.org/10.1109/TWC.2016.2591518
[10] Ho, S. W., & Verdu, S. (2008, July). Conditional entropy and error probability. In 2008 IEEE International Symposium on Information Theory, 1622-1626.
https://doi.org/10.1109/ISIT.2008.4595316
[11] Ho, S. W. (2009). On the interplay between Shannon's information measures and reliability criteria. In 2009 IEEE International Symposium on Information Theory, 154-158.
https://doi.org/10.1109/ISIT.2009.5205597
[12] Ho, S. W., & Verdu, S. (2010). On the interplay between conditional entropy and error probability. IEEE Transactions on Information Theory, 56(12), 5930-5942.
https://doi.org/10.1109/TIT.2010.2079130
[13] Ho, S. W., & Verdu, S. (2015). Convexity/concavity of Renyi entropy and -mutual information. In 2015 IEEE International Symposium on Information Theory (ISIT), 745-749.
https://doi.org/10.1109/ISIT.2015.7282577
[14] Hyadi, A., Rezki, Z., & Alouini, M. S. (2016). An overview of physical layer security in wireless communication systems with CSIT uncertainty. IEEE Access, 4, 6121-6132.
https://doi.org/10.1109/ACCESS.2016.2607706
[15] Jamalzadeh, J., & Ghasemi, K. (2024). Tsallis entropy of fuzzy -algebras. International Journal of Nonlinear Analysis and Applications, 15(12), 385-395.
https://doi.org/10.22075/ijnaa.2024.33021.4709
[16] Jurkowski, J. (2013). Quantum discord derived from Tsallis entropy. International Journal of Quantum Information, 11(01), 1350013.
https://doi.org/10.1142/S0219749913500134
[17] Kurzyk, D., Pawela, L., & Pucha la, Z. (2018). Conditional entropic uncertainty relations for Tsallis entropies. Quantum Information Processing, 17(8), 1-12.
https://doi.org/10.1007/s11128-018-2009-4
[18] Lai, L., Ho, H. W., & Poor, H. V. (2008). Privacy-security tradeo s in biometric security systems. In 2008 46th Annual Allerton Conference on Communication, Control, and Computing, 268-273.
https://doi.org/10.1109/LLERTON.2008.4797572
[19] Marshall, A. W., Olkin, I., & Arnold, B. C. (1979). Inequalities: theory of majorization and its applications. New York: Academic Press.
https://doi.org/10.1016/C2010-0-64839-5
[20] Maurer, U., & Wolf, S. (2000, May). Information-theoretic key agreement: from weak to strong secrecy for free. In International Conference on the Theory and Applications of Cryptographic Techniques, 351-368. Springer, Berlin, Heidelberg.
[21] Mohamed, M. S., Barakat, H. M., Al Mutairi, A., & SidAhmed, M. (2023). Further properties of Tsallis extropy and some of its related measures. AIMS Mathematics, 8(12), 28219-28245.
https://doi.org/10.3934/math.20231445
[22] Mojahedian, M. M., Gohari, A., & Aref, M. R. (2017, June). On the equivalency of reliability and security metrics for wireline networks. In 2017 IEEE International Symposium on Information Theory (ISIT), 2713-2717.
https://doi.org/10.1109/ISIT.2017.8007007
[23] Rajagopal, A. K., Sudha, Nayak, A. S., & Devi, A. U. (2014). From the quantum relative Tsallis entropy to its conditional form: separability criterion beyond local and global spectra. Physical Review A, 89(1), 012331.
https://doi.org/10.1103/PhysRevA.89.012331
[24] Rastegin, A. E. (2013). Bounds of the Pinsker and Fannes types on the Tsallis relative entropy. Mathematical Physics, Analysis and Geometry, 16(3), 213-228.
https://doi.org/10.1007/s11040-013-9125-2
[25] Rastegin, A. E. (2015). Further results on generalized conditional entropies. RAIRO-Theoretical Informatics and Applications, 49(1), 67-92.
https://doi.org/10.1051/ita/2015004
[26] Shah, S. M., & Sharma, V. (2015, March). Achieving Shannon capacity region as secrecy rate region in a multiple access wiretap channel. In 2015 IEEE Wireless Communications and Networking Conference (WCNC), 759-764.
https://doi.org/10.1109/WCNC.2015.7127592
[27] Shrahili, M., & Kayid, M. (2023). Residual Tsallis entropy and record Values: some new insights. Symmetry, 15(11), 2040.
https://doi.org/10.3390/sym15112040
[28] Singh, S. P., & Tiwari, S. (2023). A dual multimodal biometric authentication system based on WOA-ANN and SSA-DBN techniques. Sci, 5(1), 10.
https://doi.org/10.3390/sci5010010
[29] Tian, D. (2023). Pricing principle via Tsallis relative entropy in incomplete markets. SIAM Journal on Financial Mathematics, 14(1), 250-278.
https://doi.org/10.1137/22M1491710
[30] Tsallis, C. (1988). Possible generalizations of Boltzmann-Gibbs Statistics. Journal of Statistical Physics, 52(1), 479-487.
https://doi.org/10.1007/BF01016429
[31] Venkatesan, R. C. (2007). Generalized Statistics Framework for Rate Distortion Theory with Bregman Divergences. arXiv preprint cond-mat/0701218.
https://arxiv.org/abs/cond-mat/0701218
[32] Venkatesan, R. C., & Plastino, A. (2011). Scaled Bregman divergences in a Tsallis scenario. Physica A: Statistical Mechanics and Its Applications, 390(15), 2749-2758.
https://doi.org/10.1016/j.physa.2011.03.009
[33] Vila, M., Bardera, A., Feixas, M., & Sbert, M. (2011). Tsallis mutual information for document classi cation. Entropy, 13(9), 1694-1707.
https://doi.org/10.3390/e13091694
[34] Vilasini, V., & Colbeck, R. (2019). Analyzing causal structures using Tsallis entropies. Physical Review A, 100(6), 062108.
https://doi.org/10.1103/PhysRevA.100.062108
[35] Yeung, R. W. (2008). Information Theory and Network Coding. Springer.
https://doi.org/10.1007/978-0-387-79234-7
[36] Wyner, A. D. (1975). The wire tap channel. Bell System Technical Journal, 54(8), 1355-1387.
https://doi.org/10.1002/j.1538-7305.1975.tb02040.x