Abstract
The wireless network of low-power devices of Smart home and Internet of Things is considered. The signs of unauthorized access are defined. The analysis of the characteristics of systems based on wireless technologies obtained from the experiment results of passive monitoring and active polling of device forming the network infrastructure is conducted. The state-analyzing model based on the identity, quantity, frequency and temporal characteristics is presented. Evaluation of the information security state is focused on analyzing of the system normal functioning profile excluding the search of signatures and characteristics of anomalies under different kinds of attacks. The accumulation of data for decision-making is carried out by comparison of the statistical information of service message from the terminal nodes in passive and active modes. The proposed model can be used to determine the technical characteristics of the devices of wireless ad-hoc networks and to make recommendations concerning the information security state analysis.
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References
Kumar, P., Ylianttila, M., Gurtov, A., Lee, S.-G., Lee, H.-J.: An efficient and adaptive mutual authentication framework for heterogeneous wireless sensor networks-based applications. MDPI Sens. 14(2), 2732–2755 (2014)
Sridhar, P., Sheikh-Bahaei, S., Xia, S., Jamshidi, M.: Multi agent simulation using discrete event and soft-computing methodologies. Proc. IEEE Int. Conf. Syst. Man Cybern. 2, 1711–1716 (2003)
Page, J., Zaslavsky, A., Indrawan, M.: Countering security vulnerabilities using a shared security buddy model schema in mobile agent communities. In: Proceedings of the First International Workshop on Safety and Security in Multi-agent Systems (SASEMAS 2004), pp. 85–101 (2004)
Zikratov, I.A., Lebedev, I.S., Gurtov, A.V.: Trust and reputation mechanisms for multi-agent robotic systems. In: Balandin, S., Andreev, S., Koucheryavy, Y. (eds.) NEW2AN/ruSMART 2014. LNCS, vol. 8638, pp. 106–120. Springer, Heidelberg (2014)
Wyglinski, A.M., Huang, X., Padir, T., Lai, L., Eisenbarth, T.R., Venkatasubramanian, K.: Security of autonomous systems employing embedded computing and sensors. IEEE Micro 33(1), 80–86 (2013). Art. no. 6504448
Lebedev, I., Korzhuk, V.: The monitoring of information security of remote devices of wireless networks. In: Balandin, S., Andreev, S., Koucheryavy, Y. (eds.) NEW2AN/ruSMART 2015. LNCS, vol. 9247, pp. 3–10. Springer, Heidelberg (2015)
Prabhakar, M., Singh, J.N., Mahadevan, G.: Nash equilibrium and Marcov chains to enhance game theoretic approach for VANET security. In: Kumar, M.A., Selvarani, R., Kumar, T.V.S. (eds.) Proceedings of ICAdC. AISC, vol. 174, pp. 191–199. Springer, Heidelberg (2013)
Bazhayev, N., Lebedev, I., Korzhuk, V., Zikratov, I.: Monitoring of the information security of wireless remote devices. In: 9th International Conference on Application of Information and Communication Technologies, AICT 2015 - Proceedings 7338553, pp. 233–236 (2015)
Nikolaevskiy, I., Lukyanenko, A., Polishchuk, T., Polishchuk, V.M., Gurtov, A.V.: isBF: scalable in-packet bloom filter based multicast. Comput. Commun. 70, 79–85 (2015)
Al-Naggar, Y., Koucheryavy, A.: Fuzzy logic and Voronoi diagram using for cluster head selection in ubiquitous sensor networks. In: Balandin, S., Andreev, S., Koucheryavy, Y. (eds.) NEW2AN/ruSMART 2014. LNCS, vol. 8638, pp. 319–330. Springer, Heidelberg (2014)
Chehri, A., Hussein, T.: Moutah survivable and scalable wireless solution for e-health and emergency applications. In: Proceedings of the 1st International Workshop on Engineering Interactive Computing Systems for Medicine and Health Care, EICS4MED 2011, Pisa, Italy, pp. 25–29 (2011)
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Lebedev, I. et al. (2016). The Analysis of Abnormal Behavior of the System Local Segment on the Basis of Statistical Data Obtained from the Network Infrastructure Monitoring. In: Galinina, O., Balandin, S., Koucheryavy, Y. (eds) Internet of Things, Smart Spaces, and Next Generation Networks and Systems. ruSMART NEW2AN 2016 2016. Lecture Notes in Computer Science(), vol 9870. Springer, Cham. https://doi.org/10.1007/978-3-319-46301-8_42
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DOI: https://doi.org/10.1007/978-3-319-46301-8_42
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