Abstract
Wireless Sensor Networks are characterised by a large amount of participating nodes. Considering attackers and malicious elements within such a network poses challenges for the network protocols in operation. Based on concepts from the Organic Computing domain, this paper introduces a novel approach to introduce reliability measures and establish End-to-End trust in WSNs. We evaluate our concepts using simulation by adding nodes which try to attack the system. The results show that these malicious nodes can be quickly isolated with low additional effort.
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Busching, F., Pottner, W., Brokelmann, D., Von Zengen, G., Hartung, R., Hinz, K., Wolf, L.: A demonstrator of the GINSENG-approach to performance and closed loop control in WSNs. In: 2012 Ninth International Conference on Networked Sensing Systems (INSS), pp. 1–2 (June 2012)
Büsching, F., Kulau, U., Wolf, L.: Architecture and evaluation of inga - an inexpensive node for general applications. In: 2012 IEEE Sensors, pp. 842–845. IEEE, Taipei, Taiwan (oct (2012)
Busching, F., Bottazzi, M., Pottner, W.B., Wolf, L.: DT-WBAN: Disruption tolerant wireless body area networks in healthcare applications. In: the International Workshop on e-Health Pervasive Wireless Applications and Services (eHPWAS 2013). Lyon, France (October 2013)
Castelfranchi, C., Falcone, R.: Trust Theory: A Socio-Cognitive and Computational Model, vol. 18. John Wiley & Sons (2010)
Clausen, T., Jacquet, P.: RFC3626 Optimized Link State Routing Protocol (OLSR) (2003)
Couto, D.S.J.D.: High-Throughput Routing for Multi-Hop Wireless Networks. Ph.D. thesis, Massachusetts Institute of Technology (2004)
Dunkels, A., Gronvall, B., Voigt, T.: Contiki - a lightweight and flexible operating system for tiny networked sensors. In: LCN 20’04 Proceedings of the 29th Annual IEEE International Conference on Local Computer Networks, pp. 455–462. IEEE Computer Society, Washington, DC, USA (2004)
Ganeriwal, S., Balzano, L.K., Srivastava, M.B.: Reputation-based Framework for High Integrity Sensor Networks. ACM Trans. Sen. Netw. 4(3), 15:1–15:37 (2008)
Gnawali, O., Levis, P.: The Minimum Rank with Hysteresis Objective Function. RFC 6719 (Proposed Standard) (September 2012). http://www.ietf.org/rfc/rfc6719.txt
Guo, C., Zhong, L.C., Rabaey, J.: Low power distributed MAC for ad hoc sensor radio networks. In: GLOBECOM 2001 IEEE Global Telecommunications Conference, vol. 5, pp. 2944–2948 (2001)
IEEE: IEEE Standard for Local and metropolitan area networks- Part 15.4: Low-Rate Wireless Personal Area Networks (LR-WPANs) (2011)
Lazarescu, M.: Design of a WSN platform for long-term environmental monitoring for IoT applications. IEEE Journal on Emerging and Selected Topics in Circuits and Systems 3(1), 45–54 (2013)
Leligou, N., Sarakis, L., Trakadas, P., Gay, V., Georouleas, K.: Design Principles of Trust-aware Routing Protocol supporting Virtualization (2011), Deliverable D4.1
O’Donovan, T., Brown, J., Büsching, F., Cardoso, A., Cecelio, J., do O, J., Furtado, P., Gil, P., Jugel, A., Pöttner, W.B., Roedig, U., sa Silva, J., Silva, R., Sreenan, C., Vassiliou, V., T. Voigt and, L.W., Zinonos, Z.: The GINSENG System for Wireless Monitoring and Control: Design and Deployment Experiences. ACM Transactions on Sensor Networks (TOSN) 10(1) (November 2013)
Papadopoulos, G., Beaudaux, J., Gallais, A., Noel, T.: T-AAD: Lightweight traffic auto-adaptations for low-power MAC protocols. In: 2014 13th Annual Mediterranean Ad Hoc Networking Workshop (MED-HOC-NET), pp. 79–86 (June 2014)
Perkins, C., Royer, E.: Ad-hoc on-demand distance vector routing. In: Proceedings of the WMCSA 1999 Second IEEE Workshop on Mobile Computing Systems and Applications, pp. 90–100 (February 1999)
Thubert, P.: Objective Function Zero for the Routing Protocol for Low-Power and Lossy Networks (RPL). RFC 6552 (Proposed Standard) (March 2012). http://www.ietf.org/rfc/rfc6552.txt
Tomforde, S., Prothmann, H., Branke, J., Hähner, J., Mnif, M., Müller-Schloer, C., Richter, U., Schmeck, H.: Observation and Control of Organic Systems. In: Organic Computing - A Paradigm Shift for Complex Systems, pp. 325–338. Birkhäuser (2011)
Wang, Y., Vassileva, J.: Trust-Based Community Formation in Peer-to-Peer File Sharing Networks. In: Proc. on Web Intelligence, pp. 341–348 (September 2004)
Winter, T., Thubert, P., Brandt, A., Hui, J., Kelsey, R., Levis, P., Pister, K., Struik, R., Vasseur, J., Alexander, R.: RPL: IPv6 Routing Protocol for Low-Power and Lossy Networks. RFC 6550 (Proposed Standard) (March 2012). http://www.ietf.org/rfc/rfc6550.txt
Zhan, G., Shi, W., Deng, J.: Design and Implementation of TARF: A Trust-Aware Routing Framework for WSNs. IEEE Transactions on Dependable and Secure Computing 9(2), 184–197 (2012)
Österlind, F.: A Sensor Network Simulator for the Contiki OS. Tech. rep, Swedish Institute of Computer Science (May 2006)
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Kantert, J. et al. (2015). Improving Reliability and Endurance Using End-to-End Trust in Distributed Low-Power Sensor Networks. In: Pinho, L., Karl, W., Cohen, A., Brinkschulte, U. (eds) Architecture of Computing Systems – ARCS 2015. ARCS 2015. Lecture Notes in Computer Science(), vol 9017. Springer, Cham. https://doi.org/10.1007/978-3-319-16086-3_11
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DOI: https://doi.org/10.1007/978-3-319-16086-3_11
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