DocumentCode :
648828
Title :
Denial-of-Service detection in 6LoWPAN based Internet of Things
Author :
Kasinathan, Pounraj ; Pastrone, Claudio ; Spirito, Maurizio A. ; Vinkovits, Mark
Author_Institution :
Pervasive Secure Networks, Ist. Superiore Mario Boella (ISMB), Turin, Italy
fYear :
2013
fDate :
7-9 Oct. 2013
Firstpage :
600
Lastpage :
607
Abstract :
Smart objects connected to the Internet, constituting the so called Internet of Things (IoT), are revolutionizing human beings´ interaction with the world. As technology reaches everywhere, anyone can misuse it, and it is always essential to secure it. In this work we present a denial-of-service (DoS) detection architecture for 6LoWPAN, the standard protocol designed by IETF as an adaptation layer for low-power lossy networks enabling low-power devices to communicate with the Internet. The proposed architecture integrates an intrusion detection system (IDS) into the network framework developed within the EU FP7 project ebbits. The aim is to detect DoS attacks based on 6LoWPAN. In order to evaluate the performance of the proposed architecture, preliminary implementation was completed and tested against a real DoS attack using a penetration testing system. The paper concludes with the related results proving to be successful in detecting DoS attacks on 6LoWPAN. Further, extending the IDS could lead to detect more complex attacks on 6LoWPAN.
Keywords :
IP networks; Internet of Things; computer network security; personal area networks; protocols; 6LoWPAN; DoS attack detection; EU FP7 project ebbits; IDS; IETF; Internet of Things; denial-of-service detection; intrusion detection system; low-power devices; low-power lossy networks; penetration testing system; protocol; 6LoWPAN; Denial-of-Service Detection; Internet of Things; Intrusion Detection Systems; Penetration Testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Wireless and Mobile Computing, Networking and Communications (WiMob), 2013 IEEE 9th International Conference on
Conference_Location :
Lyon
ISSN :
2160-4886
Type :
conf
DOI :
10.1109/WiMOB.2013.6673419
Filename :
6673419
Link To Document :
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