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Wireless Networks and Security Algorithms for Efficient Data Encryption in Smart Healthcare

Maha Zayoud(1), Soraia Oueida(2), Seifedine Kadry(3*)

(1) American University of the Middle East, Kuwait
(2) American University of the Middle East, Kuwait
(3) Department of Mathematics and Computer Science, Faculty of Science, Beirut Arab University, Lebanon
(*) Corresponding author



Wireless sensor networks are encompassed with diversity tools of information technology which is widely applied in several domains including military surveillance, weather forecasting, earthquake forecasting and healthcare. Strengthened grounds are always developed for wireless sensor networks, which usually emerge security issues during professional application. Thus, essential technological tools are necessary to be assessed for a secured aggregation of data. Aggregation of encrypted data has been assessed through homomorphic stream cipher to assure its effectiveness. Methods: An experimental design has been incorporated, which utilized newly developed cipher along with CPU constrained devices. Modulation techniques have also been employed to evaluate the nature of aggregated data. Homomorphic stream cipher has been recognized as a simple and secure process, which has allowed efficient aggregation of encrypted data. Statistical values can be easily computed through the aggregation on the basis of selected cipher. The captured data from a healthcare industry, in accordance with variance, mean, and standard deviation has also been computed through the selected tool. It can be concluded that homomorphic stream cipher can be an ideal tool for appropriate aggregation of data.
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Aggregation; Cipher; Healthcare; Homomorphic Stream; Encryption

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Buntin, M. B., Burke, M. F., Hoaglin, M. C., Blumenthal, D. (2011). The benefits of health information technology: a review of the recent literature shows predominantly positive results. Health affairs, 30(3), 464-471.

Gope, P., & Hwang, T. (2016). BSN-Care: A secure IoT-based modern healthcare system using body sensor network. IEEE Sensors Journal, 16(5), 1368-1376.

Jin, D. J., & Eisner, E. (1984). A review of homomorphic deconvolution. Reviews of Geophysics, 22(3), 255-263.

Yao, W., Chu, C. H., Li, Z. (2010, June). The use of RFID in healthcare: Benefits and barriers, In RFID-Technology and Applications (RFID-TA), 2010 IEEE International Conference pp. 128-134, IEEE.

Feigenbaum, J. (1991). Distributed computing and cryptography: Proceedings of a DIMACS Workshop, October 4-6, 1989 (Vol. 2). American Mathematical Soc.

Laine, K., & Player, R. (2016). Simple encrypted arithmetic library-seal (v2.0). Technical report, September.

Gubbi, J., Buyya, R., Marusic, S., & Palaniswami, M. (2013). Internet of Things (IoT): A vision, architectural elements, and future directions. Future generation computer systems, 29(7), 1645-1660.

Gentry, C. (2010). Computing arbitrary functions of encrypted data. Communications of the ACM, 53(3), 97-105.

Elminaam, D. S. A., Abdual-Kader, H. M., Hadhoud, M. M. (2010). Evaluating the performance of symmetric encryption algorithms. IJ Network Security, 10(3), 216-222.

Bellare, M., Boldyreva, A., Desai, A., & Pointcheval, D. (2001, December). Key-privacy in public-key encryption. In International Conference on the Theory and Application of Cryptology and Information Security (pp. 566-582). Springer, Berlin, Heidelberg.

Fontaine, C., Galand, F. (2007). A survey of homomorphic encryption for nonspecialists. EURASIP Journal on Information Security, 2007, 15.

Boneh, D., Gentry, C., Gorbunov, S., Halevi, S., Nikolaenko, V., Segev, G., Vinayagamurthy, D. (2014, May). Fully key-homomorphic encryption, arithmetic circuit ABE and compact garbled circuits. In Annual International Conference on the Theory and Applications of Cryptographic Techniques (pp. 533-556). Springer, Berlin, Heidelberg.

Bani Yassein, M., Hamdan, M., Shehadeh, H., Mrayan, L., A Novel Approach for Health Monitoring System Using Wireless Sensor Network, (2017) International Journal on Communications Antenna and Propagation (IRECAP), 7 (4), pp. 271-281.

Latré, B., Braem, B., Moerman, I., Blondia, C., Demeester, P. (2011). A survey on wireless body area networks. Wireless Networks, 17(1), 1-18.

Yick, J., Mukherjee, B., & Ghosal, D. (2008). Wireless sensor network survey. Computer networks, 52(12), 2292-2330

Abdullah A., Ismael A., Rashid A., Abou-ElNour A., and Tarique M., Real Time Wireless Health Monitoring Application Using Mobile Devices, International Journal of Computer Networks & Communications (IJCNC) (2015).

Moreira, Fernando, Pérez Cota M., and Gonçalves R., The Influence of the Use of Mobile Devices and the Cloud Computing in Organizations. In New Contributions in Information Systems and Technologies, pp. 275-284. Springer International Publishing, 2015.

Ko, J., Gao, T., Rothman, R., Terzis, A. (2010). Wireless sensing systems in clinical environments: Improving the efficiency of the patient monitoring process. IEEE Engineering in Medicine and Biology Magazine, 29(2), 103-109.

Alemdar, H., & Ersoy, C. (2010). Wireless sensor networks for healthcare: A survey. Computer networks, 54(15), 2688-2710.

Ramachandran, B., Desai, S. A., Saleem, A. D. (1996). Wireless Networks in HealthCare.

Al Ameen, M., Liu, J., & Kwak, K. (2012). Security and privacy issues in wireless sensor networks for healthcare applications. Journal of medical systems, 36(1), 93-101.

Richardson, R., Director, C. S. I. (2008). CSI computer crime and security survey. Computer security institute, 1, 1-30.

Sarwar, M., Soomro, T. R. (2013). Impact of Smartphone’s on Society. European journal of scientific research, 98(2), 216-226.

Cucoranu, I. C., Parwani, A. V., West, A. J., Romero-Lauro, G., Nauman, K., Carter, A. B., Pantanowitz, L. Privacy and security of patient data in the pathology laboratory. Journal of pathology informatics, 4 (2013).

Alnabelsi, S., Finding an Immuned Path Against Single Primary User Activity in Cognitive Radio Networks, (2017) International Journal on Communications Antenna and Propagation (IRECAP), 7 (7), pp. 562-571.

Zimmermann, H. (1980). OSI reference model-The ISO model of architecture for open systems interconnection. IEEE Transactions on communications, 28(4), 425-432.

Zhang, G., Jiang, S., Wei, G., Guan, Q. (2009, June). A prediction-based detection algorithm against distributed denial-of-service attacks. In Proceedings of the 2009 international conference on wireless communications and mobile computing: Connecting the World wirelessly (pp. 106-110). ACM.

Yu, S., Wang, C., Ren, K., Lou, W. (2010, March). Achieving secure, scalable, and fine-grained data access control in cloud computing. In Infocom, 2010 proceedings IEEE (pp. 1-9). IEEE.

Koo, C. C., Shyy, Y. M. (2005). U.S. Patent No. 6,874,085. Washington, DC: U.S. Patent and Trademark Office.

Benaloh, J., Chase, M., Horvitz, E., Lauter, K. (2009, November). Patient controlled encryption: ensuring privacy of electronic medical records. In Proceedings of the 2009 ACM workshop on Cloud computing security (pp. 103-114). ACM

Lee, C., Lee, K., Kim, S., Won, D. (2011, May). Analysis on vulnerability of home healthcare medical devices and development of protection profile based on Common Criteria version 3.1. In Computers, Networks, Systems and Industrial Engineering (CNSI), 2011 First ACIS/JNU International Conference on (pp. 240-247). IEEE.

Latha, A., Jayashri, S. (2013). Secured and Encrypted Data Aggregation with Message Authentication Code in Wireless Sensor Networks. Computers and Software, 2327.

Canteaut, A., Carpov, S., Fontaine, C., Lepoint, T., Naya-Plasencia, M., Paillier, P., Sirdey, R. (2016, March). Stream ciphers: A practical solution for efficient homomorphic-ciphertext compression. In International Conference on Fast Software Encryption (pp. 313-333). Springer, Berlin, Heidelberg.

Aloulou, R., Lucas de Peslouan, P., Armand, J., Mnif, H., Alicalapa, F., Loulou, M., Lan Sun Luk, J., Micropower Clock Generator Circuit Using an Optimized Band-Gap Reference for Energy Harvesting Charge Pumps, (2015) International Review of Electrical Engineering (IREE), 10 (2), pp. 257-265.

El Abbassi, M., Jilbab, A., Bourouhou, A., A Robust Model of Multi-Sensor Data Fusion Applied in Wireless Sensor Networks for Fire Detection, (2016) International Review on Modelling and Simulations (IREMOS), 9 (3), pp. 173-180.

Adnan, A., Hanapi, Z., Geographic Routing Protocols for Wireless Sensor Networks: Design and Security Perspectives, (2015) International Journal on Communications Antenna and Propagation (IRECAP), 5 (4), pp. 197-211.

Khedher, M., Liouane, H., Douik, A., XOR-Based Routing Protocol for Wireless Sensor Networks, (2015) International Journal on Communications Antenna and Propagation (IRECAP), 5 (2), pp. 70-77.


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