Abstract
In this proposal an optimized system designed to help the greatest number of injured people in emergency situations is described, using the shortest possible time and cost. It is composed of a mobile application (assigned to medical staff and helpers), a web service and Near Field Communication wristbands assigned to victims. The mobile application is devoted to providing medical staff with the geolocation of victims as well as with an assistant indicating the best route to follow in order to take care of them based on the severity of their conditions and based on a triage method. Resolution of the routes is solved based on a classical problem, a Travelling Salesman Problem, using a k-partition algorithm to divide the huge number of victims in different clusters. Thus, each doctor has a specific area to assist victims. Besides, doctors can use a functionality of the application to contact their peers through a chat when additional help is needed. An IDentity-Based Signcryption is used for communication confidentiality, authenticity and integrity, both among peers, and between server and medical staff.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Rivero-Garcıa, A., Hernández-Goya, C., Santos-González, I., Caballero-Gil, P.: Fasttriaje: A mobile system for victim classification in emergency situations (2014)
Kahn, C.A., Schultz, C.H., Miller, K.T., Anderson, C.L.: Does start triage work? an outcomes assessment after a disaster. Ann. Emerg. Med. 54(3), 424–430 (2009)
Romig, L.E.: Pediatric triage. A system to jumpstart your triage of young patients at MCIs. JEMS J. Emerg. Med. Serv. 27(7), 52–58 (2002)
Want, R.: Near field communication. IEEE Pervasive Comput. 10(3), 4–7 (2011)
Chopde, N.R., Nichat, M.: Landmark based shortest path detection by using A* and Haversine formula. Int. J. Innov. Res. Comput. Commun. Eng. 1(2), 298–302 (2013)
de Berg, M., Cheong, O., van Kreveld, M., Overmars, M.: Delaunay triangulations. Computational Geometry: Algorithms and Applications, pp. 191–218. Springer, Heidelberg (2008). doi:10.1007/978-3-540-77974-2_9
Hespanha, J.P.: An efficient matlab algorithm for graph partitioning. University of California, Santa Barbara, CA, USA (2004)
Hoffman, K.L., Padberg, M., Rinaldi, G.: Traveling salesman problem. Encyclopedia of Operations Research and Management Science, pp. 1573–1578. Springer, New York (2013). doi:10.1007/978-1-4419-1153-7_1068
Boyen, X.: Identity-Based Signcryption. In: Dent, A., Zheng, Y. (eds.) Practical Signcryption. Information Security and Cryptography. Springer, Heidelberg (2010). doi:10.1007/978-3-540-89411-7_10
Malone-Lee, J.: Identity-based signcryption. IACR Cryptol. ePrint Arch. 2002, 98 (2002)
Santos-González, I., Rivero-García, A., Caballero-Gil, P., Hernández-Goya, C.: Alternative communication system for emergency situations. In: WEBIST (2), pp. 397–402 (2014)
Bos, J.W., Halderman, J.A., Heninger, N., Moore, J., Naehrig, M., Wustrow, E.: Elliptic curve cryptography in practice. In: Christin, N., Safavi-Naini, R. (eds.) FC 2014. LNCS, vol. 8437, pp. 157–175. Springer, Heidelberg (2014). doi:10.1007/978-3-662-45472-5_11
Research supported by TESIS2015010102, TESIS2015010106, RTC-2014-1648-8, TEC2014-54110-R, MTM-2015-69138-REDT and DIG02-INSITU.
Author information
Authors and Affiliations
Corresponding authors
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2017 Springer International Publishing AG
About this paper
Cite this paper
Rivero-García, A., Hernández-Goya, C., Santos-González, I., Caballero-Gil, P. (2017). Secure System Communication to Emergencies for Victims Management Through Identity Based Signcryption Scheme. In: Ochoa, S., Singh, P., Bravo, J. (eds) Ubiquitous Computing and Ambient Intelligence. UCAmI 2017. Lecture Notes in Computer Science(), vol 10586. Springer, Cham. https://doi.org/10.1007/978-3-319-67585-5_10
Download citation
DOI: https://doi.org/10.1007/978-3-319-67585-5_10
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-67584-8
Online ISBN: 978-3-319-67585-5
eBook Packages: Computer ScienceComputer Science (R0)