Neural cryptography
Abstract
Neural cryptography based on the tree parity machine (TPM) is presented in this paper. A mutual learning-based synchronization of two networks is studied. The training of the TPM based on the Hebbian, anti-Hebbian and random walk as well as on the secure key generation protocol is described. The most important attacks on the key generation process are shown.
References
Abed, S., 2012, Cryptography Using Artificial Neural Network, Al-dananeer, 14(1), pp.378-402.
Basin, D., Peterson, K., 2015, Information Security and Cryptography, Springer.
CyberTrone 2004, [Internet] Neural Cryptography, Dostupno na Code Project web-site: www.codeproject.com, Preuzeto: 19.08.2015. godine.
Dolecki, M., and Kozera, R., 2015, Distance of the initial weights of tree parity machine drawn from different distributions, Advances in Science and Technology Research Journal, 9(26), pp.137-142.
El-Zoghabi, A., Yassin, A. H., Hussein H. H., 2013, Survey Report on Cryptography Based on Neural Networks, International Journal of Emerging Technology and Advanced Engineering, 3(12), pp.456-462.
Godhavari, T., and Alamelu, Dr. N. R., 2010, Cryptography Using Neural Network, The Technology World Quarterly Journal, 2(4), pp.49-54.
Kanter, I., Kinzel, W., & Kanter, E. 2002. Secure exchange of information by synchronization of neural networks. Europhysics Letters (EPL), 57(1), str.141-147. doi:10.1209/epl/i2002-00552-9
Kilmov, A., Mityaguine, A., Shamir, A., 2002, Analysis of Neural Cryptography, AsiaCrypt 2002. pp.288-298.
Kinzel, W., and Kanter, I., 2002, [Internet] Neural Cryptography, Cornel University Library, Dostupno na http://arxiv.org/abs/cond-mat/0208453v1 Preuzeto: 20.08.2015. godine.
Klein, E., Mislovaty, R., Kanter, R., Ruttor, A., and Kinzel, W., 2004, Synchronization of neural networks by mutual learning and its application to cryptography, Advances in Neural Information Processing Systems, pp.689-696.
Mislovaty, R., Perchenok, Y., Kinzel, W., & Kanter, I. 2002. . Phys. Rev, . E 66, 066102. doi:10.1103/PhysRevE.66.066102
Prabakaran, N., Loganathan, P., and Vivekanandan, P., 2008, Neural Cryptography with Multiple Transfer Functions and Multiple Learning Rule, International Journal of Soft Computing, 3(3), pp.177-181.
Protić, D., 2015, Feedforward neural networks: The Levenberg-Marquardt optimization and the optimal brain surgeon pruning, Vojnotehnički glasnik/Military Technical Courier, 63(3), pp.11-28.
Rouse, M., [Internet], Nonrepudiation, TechTarget, Dostupno na http://searchsecurity.techtarget.com/definition/nonrepudiation, Preuzeto: 14.08.2015. godine.
Rosen-Zvi, M., Kanter, I., & Kinzel, W. 2002. Cryptography based on neural networks analytical results. Journal of Physics A: Mathematical and General, 35(47). 35(47): L707-L713. doi:10.1088/0305-4470/35/47/104
Ruttor, A., 2006, Neural Synchronization and Cryptography, Dissertation zur Erlangung des naturwissenschaftlichen Doktorgrades der Bayerischen Julius-Maximilians-Universitat. Fakultat fur Phyisik und Astronomie, Wurzburg.
Ruttor, A., Kinzel, W., Shacham, L., and Kanter, I., 2004 [Internet], Neural cryptography with feedback, Cornel University Library, Dostupno na: http://arxiv.org/abs/cond-mat/0311607v2 Preuzeto: 17.08.2015. godine.
Wang, D., 2015, Neural Synchronization Using Genetic Algorithm for Secure Key Establishment, Journal of Engineering Science and Technology Review, 8(2), pp.152-156.
Yu, W., and Cao, J., 2006, Cryptography based on delayed chaotic neural network, Physics Letters A, 356(4), Elsevier, pp.333-338.
Zhou, J., Xu, Q., Pei, W. and He, Y., 2004, Step to Improve Neural Cryptography Against Flipping Attacks, International Journal of Neural Systems, 14(6), pp.393-405.
Proposed Creative Commons Copyright Notices
Proposed Policy for Military Technical Courier (Journals That Offer Open Access)
Authors who publish with this journal agree to the following terms:
Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).