nach oben

Erschienen in:

2017 | OriginalPaper | Buchkapitel

Secure Distributed Group Rekeying Scheme for Cluster Based Wireless Sensor Networks Using Multilevel Encryption

verfasst von : Mohsen Yazdinejad, Faezeh Nayyeri, Omid Mahdi Ebadati E., Nasim Afshari

Erschienen in: Internet of Things: Novel Advances and Envisioned Applications

Verlag: Springer International Publishing

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config

KI-gestützte Suche

Aus

Abstract

Recently evolution in various devices, aid unrealistic dreams of connection between them and people on a large scale comes true and accelerates the idea of the Internet of Things (IoT). Sensors are playing an important role in this way. Conversely wireless sensor networks take the advantages to build a bridge and become an edge for IoT. By enhancing the usage of wireless sensor networks in many fields such as military, having a secure environment for communication within sensors is becoming more obligatory. Wireless sensor networks can be affected by active or passive attacks. One of the important concerns to reach to the aim of the IoT after deploying WSNs is its security. In this chapter, a model that is dealing with a variety of passive attacks, including node capturing and eavesdropping, which make data to be eliminated or changed is proposed. Due to the resource constrained of WSNs, secured schemes that use in ad hoc and wired networks are not appropriate. Additionally, to ensure environmental security and reduce usage of limited resources of sensors, a novel scheme using dynamic key management and encrypted data security is proposed. In order to prevent invader’s access to encrypted data, generating a new key during re-keying model is developed. For this purpose, a random number is sent as a pattern instead of regular sending a new key to a group of sensors for encryption. Index of an array, which is pre-distributed among sensors is determined through location of 1’s in the binary representation of the pattern, involve keys, which used in encryption or decryption. The results show that the complexity of time is \(O(K*N)\), where K is the size of the array, which its keys use in encryption or decryption, and N is the length of the text that should be encrypted or decrypted. Furthermore, by paying more time linearly the security of the network is increased exponentially for the larger scales of networks.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

über 102.000 Bücher
über 537 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Finance + Banking
Management + Führung
Marketing + Vertrieb
Maschinenbau + Werkstoffe
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 390 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Maschinenbau + Werkstoffe

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 340 Zeitschriften

aus folgenden Fachgebieten:

Bauwesen + Immobilien
Business IT + Informatik
Finance + Banking
Management + Führung
Marketing + Vertrieb
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Vorheriges Kapitel Internet of Nano Things and Industrial Internet of Things

Nächstes Kapitel Recognizing Attacks in Wireless Sensor Network in View of Internet of Things

Sabzinejad Farash, M., Turkanovic, M., Kumari, S., Holbl, M.: An efficient user authentication and key agreement scheme for heterogeneous wireless sensor network tailored for the internet of things environment. Ad Hoc Netw. 36(1), 152–176 (2016)

Tague, P., Poovendran, R.: Modeling node capture attacks in wireless sensor networks. In: Proceedings of 46th Annual Allerton Conference on Communication, Control, and Computing, vol. 3, pp. 205–209 (2008)

Padmavathi, D.G., Shanmugapriya, M.: A survey of attacks, security mechanisms and challenges in wireless sensor networks. Technical Report on arXiv, preprint arXiv:0909.0576 (2009)

Bonaci, T., Bushnell, L., Poovendran, R.: Node capture attacks in wireless sensor networks: a system theoretic approach. In: Proceedings of 49th IEEE Conference on Decision and Control, vol. 4, pp. 67–72 (2010)

Masdari, M.S., Bidaki, M.: Analysis of secure LEACH-based clustering protocols in wireless sensor networks. Wirel. Netw. 9(3), 345–358 (2013)

He, X., Niedermeier, M., Meer, D.H.: Dynamic key management in wireless sensor networks: a survey. J. Netw. Comput. Appl. 36(2), 611–622 (2013)CrossRef

Yaeghoobi, S.B.K., Ebadati, O.M.E.: Performance of triangle segments tree model to optimize energy efficiency in wireless sensor networks. In: Proceedings of 3rd International Conference on Machine Learning and Computing, vol. 3, pp. 314–320 (2011)

Yaeghoobi, S.B.K., Soni, M.K., Tyagi, S.S., Ebadati, E.O.M.: Impact of NP-complete in triangle segments tree energy efficiency model in wireless sensor networks. J. Basic Appl. Sci. Result 3(9), 808–817 (2013)

Yaeghoobi, S.B.K., Tyagi, S.S., Soni, M.K., Ebadati, E.O.M.: SAERP: an energy efficiency real-time routing protocol in WSNs. Proc. Int. Conf. Optim. Reliab. Inf. Technol. 5, 617–622 (2014)

10.

Kamel, I.H.J.: A lightweight data integrity scheme for sensor networks. Wirel. Sens. Netw. 4(2), 213–221 (2011)

11.

Zhang, W.G.C.: Group rekeying for filtering false data in sensor networks: a predistribution and local collaborationbased approach. J. Sens. 3(5), 213–229 (2005)

12.

Dini, G., Savino, I.M.: An efficient key revocation protocol for wireless sensor networks. Proc. Int. Symp. IEEE Comput. Soc. World Wirel Mob. Multimed. Netw. 4, 213–219 (2010)

13.

Jiang, Y., Chuang, L., Minghui, S., Xuemin, S.: Self-healing group key distribution with time-limited node revocation for wireless sensor networks. Ad Hoc Netw. 5(1), 14–23 (2007)CrossRef

14.

Khan, F.I., Jameel, H., Raazi, S.M.K., Khan, A.M., Huh, E.M.: An efficient re-keying scheme for cluster based wireless sensor networks. In: Proceedings of International Conference on Computational Science and Its Applications, pp. 1028–1037 (2007)

15.

Seyed, H., Amir, H., Vanesa, D.: A distributed group rekeying scheme for wireless sensor networks. In: Proceedings of the 6th International Conference on Systems and Networks Communications, vol. 4, pp. 345–349 (2011)

16.

Ferreira, A.C., Vilaa, M.A., Oliveira, B.L., Habib, E., Wong, H.C., Loureiro, A.A.: On the security of cluster-based communication protocols for wireless sensor networks. In: Proceedings of International Conference on Networking, pp. 449–458 (2005)

17.

Ebadati, E.O.M., Kaur, H., Alam, M.A.: A secure confidence routing mechanism by using network-based intrusion detection systems over router monitoring controls. OLS J. Wirel. Inf. Netw. Bus. Inf. Syst. 6(1), 1–11 (2010)

18.

Ebadati, E.O.M., Kaur, H., Alam, M.A.: A performance analysis of chasing intruders by implementing mobile agents. Int. J. Secur. 4(4), 80–88 (2010)

19.

Kaur, H., Ebadati, E.O.M., Alam, M.A.: Implementation of portion approach in distributed firewall application for network security framework. Int. J. Comput. Sci. Issues 8(6), 211–221 (2011)

20.

Kaur, H., Ebadati, E.O.M., Alam, M.A.: Optimization of micro-firewalls security layers in distributed network. In: Proceedings of International Conference on Future Information Technology, pp. 312–320. IACSIT Press (2011)

21.

Ebadati, E.O.M., Kaur, H., Alam, M.A., Yaeghoobi, K.: Micro-firewalls for dynamic network security framework: a secure hybrid architecture. J. Netw. Secur. 4(2), 315–324 (2012)

22.

Turkanovic, M., Brumen, B., Holbl, M.: A novel user authentication and key agreementscheme for heterogeneous ad hoc wireless sensor networks based on the internet of things notion. Ad Hoc Netw. 20(2), 96–112 (2014)CrossRef

23.

Komninos, N., Soroush, H., Salajegheh, M.: Light weight energy efficient encryption algorithm for sensor networks. In: Proceedings of IEEE 9th International Symposium on Communication Theory and Applications, pp. 312–317 (2007)

24.

Preneel, B.V.R.: Cryptographic primitives for information authentication state of the art. J. Cryptogr. 2(3), 45–54 (1998)MATH

25.

Singaravelu, P., Verma, S.: Performance analysis of multivariate cryptosystem schemes for wireless sensor network. Comput. Electr. Eng. 39(6), 1880–1893 (2013)CrossRef

26.

Boudia, O.R.M., Senouci, S.M., Feham, M.: A novel secure aggregation scheme for wireless sensor networks using stateful public key cryptography. Ad Hoc Netw. 4(2), 34–45 (2015)

27.

Sharma, G., Bala, S., Verma, A.K.: Security frameworks for wireless sensor networks-review. Procedia Technol. 6(1), 978–987 (2012)CrossRef

28.

Turkanovi, M., Brumen, B., Hlbl, M.: A novel user authentication and key agreement scheme for heterogeneous ad hoc wireless sensor networks based on the internet of things notion. Ad Hoc Netw. 20(3), 96–112 (2014)CrossRef

29.

Amin, R., Biswas, G.: A secure light weight scheme for user authentication and key agreement in multi-gateway based wireless sensor networks. Ad Hoc Netw. 23(2), 67–81 (2015)

30.

Lu, X., Lio, P., Wicker, F.: Security estimation model with directional antennas. In: Proceedings of IEEE International Conference on Military Communications, pp. 234–239 (2008)

31.

Wang, Q., Dai, H.N., Zhao, Q.: Eavesdropping security in wireless ad hoc networks with directional antennas. In: Proceedings of 22nd IEEE Iinternational Conference on Wireless and Optical Communication Conference, vol. 4, pp. 221–229 (2013)

32.

Dai, H.-N., Wang, Q., Li, D., Wong, C.-W.R.: On eavesdropping attacks in wireless sensor networks with directional antennas. Int. J. Distrib. Sens. Netw. 5(2), 67–78 (2013)

33.

Zafer, M., Agrawal, D., Srivatsa, M.: Limitations of generating a secret key using wireless fading under active adversary. IEEE/ACM Trans. Netw. 20(5), 1440–1451 (2012)CrossRef

34.

Li, X., Xu, J., Hong-Ning, D., Qinglin, Z., Chak Fong, C., Qiu, W.: On modeling eavesdropping attacks in wireless networks. J. Comput. Sci. 15(2), 67–81 (2014)

35.

Parno, A.P.B., Gligor, V.D.: Distributed detection of node replication attacks in sensor networks. J. Secur. Sens. Netw. 8(4), 56–67 (2005)

36.

Eschenauer, L., Gligor, V.D.: A key-management scheme for distributed sensor networks. In: Proceedings of the 9th ACM conference on Computer and communications security, pp. 313–318 (2002)

37.

Wang, Y., Ramamurthy, B., Zou, X.: An efficient key revocation scheme for wireless sensor networks. In: Proceedings of IEEE International Conference on Communications, pp. 78–83 (2007)

Titel: Secure Distributed Group Rekeying Scheme for Cluster Based Wireless Sensor Networks Using Multilevel Encryption
verfasst von: Mohsen Yazdinejad
Faezeh Nayyeri
Omid Mahdi Ebadati E.
Nasim Afshari
Verlag: Springer International Publishing
Buch: Internet of Things: Novel Advances and Envisioned Applications
Print ISBN: 978-3-319-53470-1

Electronic ISBN: 978-3-319-53472-5

Copyright-Jahr: 2017
DOI: https://doi.org/10.1007/978-3-319-53472-5_6

Springer Professional

Abstract

Bitte loggen Sie sich ein, um Zugang zu Ihrer Lizenz zu erhalten.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Springer Professional "Technik"

Springer Professional "Wirtschaft"