Home A secure communication using cascade chaotic computing systems on clinical decision support
Article
Licensed
Unlicensed Requires Authentication

A secure communication using cascade chaotic computing systems on clinical decision support

  • Ahmet Sertol Koksal EMAIL logo , Orhan Er , Hayrettin Evirgen and Nejat Yumusak
Published/Copyright: May 20, 2015

Abstract

Clinical decision support systems (C-DSS) provide supportive tools to the expert for the determination of the disease. Today, many of the support systems, which have been developed for a better and more accurate diagnosis, have reached a dynamic structure due to artificial intelligence techniques. However, in cases when important diagnosis studies should be performed in secret, a secure communication system is required. In this study, secure communication of a DSS is examined through a developed double layer chaotic communication system. The developed communication system consists of four main parts: random number generator, cascade chaotic calculation layer, PCM, and logical mixer layers. Thanks to this system, important patient data created by DSS will be conveyed to the center through a secure communication line.


Corresponding author: Ahmet Sertol Koksal, Department of Electrical and Electronics Engineering, Bozok University, 66200 Yozgat, Turkey, Phone: +90 505 500 9788, E-mail:

References

[1] Pecora LM, Carroll TL. Synchronization in chaotic systems. Phys Rev Lett 1990; 64: 821–824.10.1016/B978-012396840-1/50040-0Search in Google Scholar

[2] Chandra SA, Radhika S, Anand K. Secure communication using 512 bit key. Eur J Sci Res 2011; 52: 61–65.Search in Google Scholar

[3] Ge ZM, Yang CH, Symplectic synchronization of different chaotic systems. Chaos Solitons Fractals 2009; 40: 2532–2543.10.1016/j.chaos.2007.10.055Search in Google Scholar

[4] Cheng CJ. Robust synchronization of uncertain unified chaotic systems subject to noise and its application to secure communication. Appl Math Comput 2012; 219: 2698–2712.10.1016/j.amc.2012.08.101Search in Google Scholar

[5] Bowonga S, Kakmenib FM, Siewe MS. Secure communication via parameter modulation in a class of chaotic systems. Commun Nonlinear Sci Numer Simul 2007; 12: 397–410.10.1016/j.cnsns.2005.03.002Search in Google Scholar

[6] Fallahi K, Leung H. A chaos secure communication scheme based on multiplication modulation. Commun Nonlinear Sci Numer Simul 2010; 15: 368–383.10.1016/j.cnsns.2009.03.022Search in Google Scholar

[7] Carroll TL, Pecora LM. Synchronizing chaotic circuits. IEEE Trans Circuits Syst 1991; 38: 453–456.10.1063/1.45294Search in Google Scholar

[8] Filali RL, Benrejeb M, Borne P. On observer-based secure communication design using discrete-time hyperchaotic systems. Commun Nonlinear Sci Numer Simulat 2014; 19: 1424–1432.10.1016/j.cnsns.2013.09.005Search in Google Scholar

[9] Lu JG, Xi YG. Chaos communication based on synchronization of discrete-time chaotic systems. Chin Phys 2005; 14: 274–278.10.1088/1009-1963/14/2/010Search in Google Scholar

[10] Yoo W, Won D, Ji S. Synchronization of two different non-autonomous chaotic systems using fuzzy disturbance observer. Phys Lett A 2010; 374: 1354–1361.10.1016/j.physleta.2010.01.023Search in Google Scholar

[11] Wang ZL, Shi XR. Chaotic bursting lag synchronization of Hindmarsh–Rose system via a single controller. Appl Math Comput 2009; 215: 1091–1097.10.1016/j.amc.2009.06.039Search in Google Scholar

[12] Li J, Li W, Li Q. Sliding mode control for uncertain chaotic systems with input nonlinearity. Commun Nonlinear Sci Numer Simul 2012; 17: 341–348.10.1016/j.cnsns.2011.04.018Search in Google Scholar

[13] Tekin M. Üretim yönetimi. Konya/Turkey: Academic Press 1996: 1–16.Search in Google Scholar

[14] Gulbag A, Temurtas F. A study on transient and steady state sensor data for identification of individual gas concentrations in their gas mixtures. Sens Actuat B-Chem 2007; 21: 590–599.10.1016/j.snb.2006.04.100Search in Google Scholar

[15] Koç E, Şengül YA, Özkaya AU, Gökçe B, Klinik Karar Destek Sistemleri Kullanımına Yönelik Bir Araştırma: Acıbadem Hastanesi Örneği. Istanbul/Turkey: Academic Press 2012.Search in Google Scholar

[16] Özata M, Aslan Ş. Clinical decision support systems and model applications. The Medical Journal of Kocatepe 2004; 5: 11–17.Search in Google Scholar

[17] Er O, Temurtas F. A study on chronic obstructive pulmonary disease diagnosis using multilayer neural networks. J Med Syst 2008; 32: 429–432.10.1007/s10916-008-9148-6Search in Google Scholar PubMed

[18] Er O, Sertkaya C, Temurtas F, Tanrikulu AC. A comparative study on chronic obstructive pulmonary and pneumonia diseases diagnosis using neural networks and artificial immune system. J Med Syst 2009; 33: 485–492.10.1007/s10916-008-9209-xSearch in Google Scholar PubMed

[19] Er O, Temurtas F, Tanrikulu AC. Tuberculosis disease diagnosis using artificial neural networks. J Med Syst 2010; 34: 299–302.10.1007/s10916-008-9241-xSearch in Google Scholar PubMed

[20] Er O, Yumusak N, Temurtas F. Chest diseases diagnosis using artificial neural networks. Exp Syst Appl 2010; 37: 7648–7655.10.1016/j.eswa.2010.04.078Search in Google Scholar

[21] Er O, Yumusak N, Temurtas F. Diagnosis of chest diseases using artificial immune system. Exp Syst Appl 2012; 39: 1862–1868.10.1016/j.eswa.2011.08.064Search in Google Scholar

[22] Koksal AS, Evirgen H. A new secure communications method using cascade chaotic computing systems. Electron World 2014; 120: 22–24.Search in Google Scholar

Received: 2014-8-28
Accepted: 2015-4-17
Published Online: 2015-5-20
Published in Print: 2016-6-1

©2016 by De Gruyter

Articles in the same Issue

  1. Frontmatter
  2. Editorial
  3. The face towards nature
  4. Special issue articles
  5. Differential osteogenicity of multiple donor-derived human mesenchymal stem cells and osteoblasts in monolayer, scaffold-based 3D culture and in vivo
  6. Calcium phosphate/microgel composites for 3D powderbed printing of ceramic materials
  7. Adhesive strength of total knee endoprostheses to bone cement – analysis of metallic and ceramic femoral components under worst-case conditions
  8. Radiostereometric migration analysis of the Cerafit femoral stem: 28 patients followed for 2 years
  9. Staphylococcus epidermidis adhesion on surface-treated open-cell Ti6Al4V foams
  10. Research on polyvinylidene fluoride (PVDF) hollow-fiber hemodialyzer
  11. Research articles
  12. Influence of calibration method and material on the accuracy of stress distribution measurement systems
  13. A secure communication using cascade chaotic computing systems on clinical decision support
  14. Biomechanical effect of different femoral neck blade position on the fixation of intertrochanteric fracture: a finite element analysis
  15. Performance of a thrombectomy device for aspiration of thrombus with various sizes based on a computational fluid dynamic modeling
  16. Analysis of wrist bone motion before and after SL-ligament resection
  17. Changes of gait characteristics in a child with femoral nerve injury: a 16-month follow-up case study
  18. Assessing the eligibility of a non-invasive continuous blood pressure measurement technique for application during total intravenous anaesthesia
Downloaded on 20.9.2025 from https://www.degruyterbrill.com/document/doi/10.1515/bmt-2014-0094/html
Scroll to top button