Monitoramento Colaborativo de Redes Sem-fio: Acurácia do Sistema e Denúncia de Farejadores Maliciosos

  • Miguel Campista UFRJ
  • Matteo Sammarco UPMC Sorbonne Universités
  • Marcelo de Amorim UPMC Sorbonne Universités
  • Tahiry Razafindralambo INRIA Lille Nord Europe

Abstract


Conceiving measurement-based adaptive strategies based on wireless networking traffic is challenging. In this paper, we show via experiments that accurate characterization of these networks is feasible by increasing the number of traces collected. This means that the collaboration of users is fundamental. A consequence of such a participation, however, is the possible incidence of malicious actions in the measurement system. Thus, this paper assesses the influence of malicious participants and analyzes a detection strategy based on the relevance of each trace. Results show that the detection efficiency is related to the density of sensing nodes and to the amount of fake information introduced.

References

Acharya, P. A. K., Sharma, A., Belding, E. M., Almeroth, K. C., Member, S. e Papagiannaki, D. (2010). Rate adaptation in congested wireless networks through real-time measurements. IEEE TMC, 9(11):1535–1550.

Antoniadis, P., Grand, B. L., Satsiou, A., Tassiulas, L., Aguiar, R., Barraca, J. P. e Sargento, S. (2008). Community building over neighborhood wireless mesh networks. IEEE Technology and Society, 27(1):48–56.

Cheng, Y.-C., Bellardo, J., Benkö, P., Snoeren, A. C., Voelker, G. M. e Savage, S. (2006).

Jigsaw: solving the puzzle of enterprise 802.11 analysis. Em ACM SIGCOMM, p. 39–50.

Cisco (2015). VNI mobile forecast highlights, 2014 - 2019.

Claveirole, T. e de Amorim, M. D. (2012). ManipulatingWi-Fi packet traces with WiPal: design and experience. Software Practice & Experience, 42(5):585–599.

Darling, D. A. (1957). The Kolmogorov-Smirnov, Cramér-von Mises Tests. The Annals of Mathematical Statistics, 28(4):823–838.

Dean, R. B. e Dixon,W. J. (1951). Simplified statistics for small numbers of observations. Analytical Chemistry, 23(4):636–638.

Kanuparthy, P., Dovrolis, C., Papagiannaki, K., Seshan, S. e Steenkiste, P. (2012). Can user-level probing detect and diagnose common home-WLAN pathologies? SIGCOMM Comput. Commun. Rev., 42(1):7–15.

Kone, V., Zheleva, M., Wittie, M., Zhao, B. Y., Belding, E. M., Zheng, H. e Almeroth, K. (2011). AirLab: consistency, fidelity and privacy in wireless measurements. SIGCOMM Comput. Commun. Rev., 41(1):60–65.

Li, W., Mok, K. P., Wu, D. e Chang, R. (2015). On the accuracy of smartphone-based mobile network measurement. Em IEEE INFOCOM, p. 1–9.

Mahajan, R., Rodrig, M., Wetherall, D. e Zahorjan, J. (2006). Analyzing the MAC-level behavior of wireless networks in the wild. Em ACM SIGCOMM, p. 75–86.

Paul, U. K., Buddhikot, M. M. e Das, S. R. (2013). Passive measurement of interference in WiFi networks with application in misbehavior detection. IEEE TMC, 12(3):434–446.

Ravindranath, L., Newport, C., Balakrishnan, H. e Madden, S. (2011). Improving wireless network performance using sensor hints. Em USENIX NSDI, p. 1–14.

Raya, M., Aad, I., Hubaux, J.-P. e Fawal, A. E. (2006). DOMINO: detecting MAC layer greedy behavior in IEEE 802.11 hotspots. IEEE TMC, 5(12):1691–1705.

Robinson, J., Swaminathan, R. e Knightly, E. W. (2008). Assessment of urban-scale wireless networks with a small number of measurements. Em ACM MobiCom, p. 187– 198.

Schulman, A., Levin, D. e Spring, N. (2008). On the fidelity of 802.11 packets traces. Em PAM, p. 132–141.

Sheng, Y., Chen, G., Yin, H., Tan, K., Deshpande, U., Vance, B., Kotz, D., Campbell, A., Mcdonald, C., Henderson, T. e Wright, J. (2008). Map: a scalable monitoring system for dependable 802.11 wireless networks. Wireless Communications, 15(5):10–18.

Srinivasan, K., Kazandjieva, M. A., Jain, M., Kim, E. e Levis, P. (2008). SWAT: enabling wireless network measurements. Em ACM SenSys, p. 395–396.

Yeo, J., Youssef, M. e Agrawala, A. (2004). A framework for wireless LAN monitoring and its applications. Em ACM WiSe, p. 70–79.

Yi, C.-W. (2009). A unified analytic framework based on minimum scan statistics for wireless ad hoc and sensor networks. IEEE Transactions on Parallel and Distributed Systems, 20(9):1233–1245.
Published
2015-07-20
CAMPISTA, Miguel; SAMMARCO, Matteo; DE AMORIM, Marcelo; RAZAFINDRALAMBO, Tahiry. Monitoramento Colaborativo de Redes Sem-fio: Acurácia do Sistema e Denúncia de Farejadores Maliciosos. In: WORKSHOP ON PERFORMANCE OF COMPUTER AND COMMUNICATION SYSTEMS (WPERFORMANCE), 14. , 2015, Recife. Anais [...]. Porto Alegre: Sociedade Brasileira de Computação, 2015 . p. 93-106. ISSN 2595-6167. DOI: https://doi.org/10.5753/wperformance.2015.10400.