New technique for protecting transmitted data via WLAN

  • Marchella Macarulli Universitat Politècnica de Catalunya, Barcelona, Spain
Keywords: information, interceptions, networking, transmission, wireless


The proposed work is a new technique for protecting the transmitted data via WLAN from eavesdropping and illegal interceptors. The main aim of this technique is to control the transmitted packets in order to minimize risks level which may be caused by probable attacks. Moreover, this technique assumes that the transmitted data in the training phase was used to train the system to be adaptable and immune against different attacks which may be caused within several circumstances. This proposed research covers all the possibilities using the framework of fuzzy theory for all risks levels and the size of every packet from low to high.


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Chandra, P., & Lide, D. (2011). Wi-Fi Telephony: Challenges and solutions for voice over WLANs. Elsevier.

Changping, Z., Xingsong, D., Jia, Z., Lei, L. I., Xiaoyang, Z., Hongzhen, Y. U., & Zhang, S. (2010). Performance analysis of wireless local area networks (WLAN) in a coal-mine tunnel environment. Mining Science and Technology (China), 20(4), 629-634.

Fallah, Y. P., & Alnuweiri, H. (2007). Hybrid polling and contention access scheduling in IEEE 802.11 e WLANs. Journal of Parallel and Distributed Computing, 67(2), 242-256.

Finneran, M. F. (2011). Voice over WLANS: The complete guide. Elsevier.

Garroppo, R. G., Nencioni, G., Scutellà, M. G., & Tavanti, L. (2016). Robust optimisation of green wireless LANs under rate uncertainty and user mobility. Electronic Notes in Discrete Mathematics, 52, 221-228.

Jha, S., & Ali, S. (2014, September). Mobile agent based architecture to prevent session hijacking attacks in IEEE 802.11 WLAN. In 2014 International Conference on Computer and Communication Technology (ICCCT) (pp. 227-232). IEEE.

Joseph, W., Pareit, D., Vermeeren, G., Naudts, D., Verloock, L., Martens, L., & Moerman, I. (2013). Determination of the duty cycle of WLAN for realistic radio frequency electromagnetic field exposure assessment. Progress in Biophysics and Molecular Biology, 111(1), 30-36.

Mourad, A., Muhammad, S., Al Kalaa, M. O., Refai, H. H., & Hoeher, P. A. (2017). On the performance of WLAN and Bluetooth for in-car infotainment systems. Vehicular Communications, 10, 1-12.

Musbah, E. M. M., Bilal, K. H., & Mustafa, N. (2015). Comparison of QoS performance over WLAN, VoIP4 and VoIP6. International Research Journal of Management, IT and Social Sciences, 2(11), 29-37.

Sahu, B., Chakrabarti, S., & Maskara, S. L. (2010). An improved residual frequency offset estimation scheme for OFDM based WLAN systems. Digital Signal Processing, 20(2), 454-461.

Soungalo, T., Renfa, L., Fanzi, Z., & Waita, H. N. (2012). Performance analysis of interworking between WLAN and 3G networks based on three approaches. Procedia Engineering, 29, 1126-1132.

How to Cite
Macarulli, M. (2019). New technique for protecting transmitted data via WLAN. International Research Journal of Management, IT and Social Sciences, 6(5), 108-117.