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evaluation of the security features of RPL. In: Puliafito, A., Bruneo, D., Distefano,
S., Longo, F. (eds.) ADHOC-NOW 2017. LNCS, vol. 10517, pp. 63–76. Springer,
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personal area networks (6LoWPANs): overview, assumptions, problem statement,
and goals. In: RFC, vol. 4919 (2007)
12. Rehman, A., et al.: Rank attack using objective function in RPL for low power
and lossy networks. In: 2016 International Conference on Industrial Informatics
and Computer Systems (CIICS). IEEE (2016)
13. Farooqi, A.H., Khan, F.A.: Intrusion detection systems for wireless sensor networks: a survey. In: ´
Sl¸ ezak, D., Kim, T., Chang, A.C.-C., Vasilakos, T., Li, M.C.,
Sakurai, K. (eds.) FGCN 2009. CCIS, vol. 56, pp. 234–241. Springer, Heidelberg
(2009). https://doi.org/10.1007/978-3-642-10844-0 29
14. Wallgren, L., Raza, S., Voigt, T.: Routing attacks and countermeasures in the
RPL-based Internet of Things. Int. J. Distrib. Sens. Netw. 9(8), 794326 (2013)
15. Zarpel˜ ao, B.B., Miani, R.S., Kawakani, C.T., de Alvarenga, S.C.: A survey of
intrusion detection in Internet of Things. J. Netw. Comput. Appl. 84, 25–37 (2017)
16. Yang, K., Ren, J., Zhu, Y., Zhang, W.: Active learning for wireless IoT intrusion
detection. IEEE Wirel. Commun. 25(6), 19–25 (2018)
17. Kim, D.S., Nguyen, H.N., Park, J.S.: Genetic algorithm to improve SVM based
network intrusion detection system. In: 19th International Conference on Advanced
Information Networking and Applications (AINA 2005), Volume 1 (AINA papers),
vol. 2, pp. 155–158. IEEE, March 2005
18. Wang, J., Hong, X., Ren, R.R., Li, T.H.: A real-time intrusion detection system
based on PSO-SVM. In: Proceedings The 2009 International Workshop on Information Security and Application (IWISA 2009), p. 319. Academy Publisher (2009)
A. M. Said et al.
References
1. Yu, L., Lu, Y., Zhu, X.J.: Smart hospital based on Internet of Things. J. Netw.
7(10), 1654 (2012)
2. Attaluri, P., Iqbal, M., Lawrence, C.D.: Smart hospital care system. U.S. Patent
Application No. 13/445,299 (2013)
3. R¨ omer, K., Kasten, O., Mattern, F.: Middleware challenges for wireless sensor
networks. Mob. Comput. Commun. Rev. 6(4), 59–61 (2002)
4. Kuang, X., Shao, H.: Study of the gateway of wireless sensor networks. Jisuanji
Gongcheng/Comput. Eng. 33(6), 228–230 (2007)
5. Rahmani, A.M., et al.: Smart e-health gateway: bringing intelligence to internet-ofthings based ubiquitous healthcare systems. In: 2015 12th Annual IEEE Consumer
Communications and Networking Conference (CCNC), pp. 826–834. IEEE, January 2015
6. Gaddour, O., Koubˆ aa, A.: RPL in a nutshell: a survey. Comput. Netw. 56(14),
3163–3178 (2012)
7. Zhang, T., Li, X.: Evaluating and analyzing the performance of RPL in contiki. In:
Proceedings of the First International Workshop on Mobile Sensing, Computing
and Communication, pp. 19–24, August 2014
8. Winter, T., Thubert, P., Brandt, A., et al.: RPL: IPv6 routing protocol for lowpower and lossy networks. In: RFC 6550, March 2012
9. Garcia-Morchon, O., Hummen, R., Kumar, S.S., Struik, R., Keoh, S.L.: Security
Considerations in the IP-based Internet of Things, March 2012
10. Perazzo, P., Vallati, C., Arena, A., Anastasi, G., Dini, G.: An implementation and
evaluation of the security features of RPL. In: Puliafito, A., Bruneo, D., Distefano,
S., Longo, F. (eds.) ADHOC-NOW 2017. LNCS, vol. 10517, pp. 63–76. Springer,
Cham (2017). https://doi.org/10.1007/978-3-319-67910-5 6
11. Kushalnagar, T., Montenegro, G., Schumacher, C.: IPv6 over low-power wireless
personal area networks (6LoWPANs): overview, assumptions, problem statement,
and goals. In: RFC, vol. 4919 (2007)
12. Rehman, A., et al.: Rank attack using objective function in RPL for low power
and lossy networks. In: 2016 International Conference on Industrial Informatics
and Computer Systems (CIICS). IEEE (2016)
13. Farooqi, A.H., Khan, F.A.: Intrusion detection systems for wireless sensor networks: a survey. In: ´
Sl¸ ezak, D., Kim, T., Chang, A.C.-C., Vasilakos, T., Li, M.C.,
Sakurai, K. (eds.) FGCN 2009. CCIS, vol. 56, pp. 234–241. Springer, Heidelberg
(2009). https://doi.org/10.1007/978-3-642-10844-0 29
14. Wallgren, L., Raza, S., Voigt, T.: Routing attacks and countermeasures in the
RPL-based Internet of Things. Int. J. Distrib. Sens. Netw. 9(8), 794326 (2013)
15. Zarpel˜ ao, B.B., Miani, R.S., Kawakani, C.T., de Alvarenga, S.C.: A survey of
intrusion detection in Internet of Things. J. Netw. Comput. Appl. 84, 25–37 (2017)
16. Yang, K., Ren, J., Zhu, Y., Zhang, W.: Active learning for wireless IoT intrusion
detection. IEEE Wirel. Commun. 25(6), 19–25 (2018)
17. Kim, D.S., Nguyen, H.N., Park, J.S.: Genetic algorithm to improve SVM based
network intrusion detection system. In: 19th International Conference on Advanced
Information Networking and Applications (AINA 2005), Volume 1 (AINA papers),
vol. 2, pp. 155–158. IEEE, March 2005
18. Wang, J., Hong, X., Ren, R.R., Li, T.H.: A real-time intrusion detection system
based on PSO-SVM. In: Proceedings The 2009 International Workshop on Information Security and Application (IWISA 2009), p. 319. Academy Publisher (2009)