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Erschienen in:
Comparative Analysis of Opportunistic Communication Technologies Kapitel lesen Erstes Kapitel lesen

2017 | OriginalPaper | Buchkapitel

UML Modeling of Cross-Layer Attack in Wireless Sensor Networks

verfasst von : Jian Wang, Abraham O. Fapojuwo, Chen Zhang, Huiting Tan

Erschienen in: Interoperability, Safety and Security in IoT

Verlag: Springer International Publishing

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Abstract

The openness of wireless communication and the unattended nature of sensor node deployment make it easy for an adversary to launch various attacks on wireless sensor networks. Cross-layer attack aims to achieve better attack effects, conceal attack behavior more better, reduce the cost of attack by using information from multiple protocol layers, or initiate attack at multiple layers cooperatively. There are now different understandings about cross-layer attack. In this paper, the definition of cross-layer attack is proposed and several cases of attacks are presented. In order to better understand their behaviors, the cases of cross-layer attack are modeled by utilizing unified modeling language, which helps to build more secure wireless sensor networks.

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Vorheriges Kapitel Framework of Cyber Attack Attribution Based on Threat Intelligence
Nächstes Kapitel Adoption of Miniaturized Safety-Related Systems for Industrial Internet-of-Things Applications
Literatur
1.
Wood, A.D., Stankvic, J.A.: Denial of service in sensor networks. IEEE Comput. 35(10), 54–62 (2002)CrossRef
2.
Wang, X., Gu, W., Schosek, K., Chellappan, S., Xuan, D.: Sensor network configuration under physical attacks. Technical Report:OSU-CISRC-7/04-TR45, Department of Computer Science and Engineering, Ohio State University (2004)
3.
Katsaiti, M., Rigas, A., Tzemos, I., Sklavos, N.: Real-world attacks toward circuits and systems design, targeting safety invasion. In: Proceedings of the 4th International Conference on Modern Circuits and System Technologies (MOCAST) (2015)
4.
Xu, W., Ma, K., Trappe, W., Zhang, Y.: Jamming sensor networks: attack and defense strategies. IEEE Netw. 20(3), 41–47 (2006)CrossRef
5.
Raymond, D.R., Marchany, R.C., Brownfield, M.I., Midkiff, S.F.: Effects of Denial-of sleep attacks on wireless sensor network MAC protocols. IEEE Trans. Veh. Technol. 58(1), 367–380 (2009)CrossRef
6.
Sokullu, R., Dagdeviren, O., Korkmaz, I.: On the IEEE 802.15.4 MAC layer attacks: GTS attack. In: Proceedings of the Second International Conference on Sensor Technologies and Applications (SENSORCOMM), pp. 673–678 (2008)
7.
Radosavac, S., Crdenas, A.A., Baras, J.S., Moustakides, G.V.: Detecting IEEE 802.11 MAC layer misbehavior in ad hoc networks: robust strategies against individual and colluding attackers. J. Comput. Secur. 15(1), 103–128 (2007). Special Issue on Security of Ad Hoc and SensorNetworksCrossRef
8.
Karlof, C., Wagner, D.: Secure routing in wireless sensor networks: attacks and countermeasures. Ad Hoc Netw. J. 1(2–3), 293–315 (2003)CrossRef
9.
Hu, Y.C., Perrig, A., Johnson, D.B.: Packet Leashes: a defense against wormhole attacks in wireless networks. In: Proceedings of the Twenty-Second Annual Joint Conference of the IEEE Computer and Communication Societies (INFOCOM), vol. 3, pp. 1976–1986 (2003)
10.
Al-Shurman, M., Yoo, S.M., Park, S.: Black hole attack in mobile Ad hoc networks. In: Proceedings of the 42nd Annual ACM Southeast Regional Conference (ACM-SE’42) (2004)
11.
Newsome, J., Shi, E., Song, D., Perrig, A.: The Sybil attack in sensor networks: analysis & defenses. In: Proceedings of the Third International Symposium on Information Processing in Sensor Networks ACM (IPSN), pp. 259–268 (2004)
12.
Radosavac, S., Benammar, N., Baras, J.S.: Cross-layer attacks in wireless ad hoc networks. In: Proceedings of the 38th Annual Conference on Information Science and Systems (CISS). Princeton University (2004)
13.
Bian, K., Park, J.M., Chen, R.: Stasis Trap: cross-layer stealthy attack in wireless Ad hoc networks. In: Proceedings of the IEEE Global Telecommunications Conference (GLOBECOM) (2006)
14.
Nagireddygari, D., Thomas, J.: MAC-TCP cross-layer attack and its defense in cognitive radio networks. In Proceedings of the 10th ACM International Symposium on QOS and Security for Wireless and Mobile Networks (Q2SWinet) (2014)
15.
Leόn, O., Hernández-Serrano, J., Soriano, M.: A new cross-layer attack to TCP in cognitive radio network. In: Proceedings of the Second International Workshop on Cross layer Design (IWCLD) (2009)
16.
Guang, L., Assi, C., Benslimane, A.: Interlayer attacks in mobile Ad hoc networks. In: Cao, J., Stojmenovic, I., Jia, X., Das, Sajal, K. (eds.) MSN 2006. LNCS, vol. 4325, pp. 436–448. Springer, Heidelberg (2006). doi:10.​1007/​11943952_​37 CrossRef
17.
Shao, M., Zhu, S., Cao, G., Porta, T.L., Mohapatra, P.: A cross-layer dropping attack in video streaming over Ad hoc networks. In: Proceedings of the 4th International Conference on Security and Privacy in Communication Networks (SECURECOMM) (2008)
18.
Panchenko, A., Pimenidis, L.: Cross-layer attack on anonymizing networks. In: Proceedings of the 15th International Conference on Telecommunication (ICT) (2008)
19.
Wang, W., Sun, Y., Li, H., Han, Z.: Cross-layer attack and defense in cognitive radio networks. In: Proceedings of IEEE Global Telecommunication Conference (GLOBECOM) (2010)
20.
Djahel, S., Abdesselam, F.N., Khokhar, A.: A cross layer framework to mitigate a joint MAC and routing attack in multihop wireless network. In: Proceedings of the 5th IEEE International Workshop on Performance and Management of Wireless and Mobile Networks (P2MNET) (2009)
21.
Uke, S.N., Mahajan, A.R., Thool, R.C.: UML modeling of physical and data link layer security attacks in WSN. Int. J. Comput. Appl. 70(11), 25–28 (2013)
22.
Pawar, P.M., Nielsen, R.H., Prasad, N.R., Ohmori, S., Prasad, R.: Behavioral modeling of WSN MAC layer security attacks: a sequential UML approach. J. Cyber Secur. Mob. 1(1), 65–82 (2012)
23.
Hong, S., Lim, S.: Analysis of attack models via unified modeling language in wireless sensor networks: a survey study. In: Proceedings of IEEE International Conference on Wireless Communications, Networking and Information Security (WCINS) (2010)
Metadaten
Titel
UML Modeling of Cross-Layer Attack in Wireless Sensor Networks
verfasst von
Jian Wang
Abraham O. Fapojuwo
Chen Zhang
Huiting Tan
Copyright-Jahr
2017
Buch
Interoperability, Safety and Security in IoT

Print ISBN: 978-3-319-52726-0

Electronic ISBN: 978-3-319-52727-7

Copyright-Jahr: 2017

DOI
https://doi.org/10.1007/978-3-319-52727-7_12