An exploratory data analysis of the network behavior of hive home devices

Wali, A., Apejoye, O., He, J. ORCID: 0000-0002-5616-4691 and Ma, X. ORCID: 0000-0003-0074-4192, 2021. An exploratory data analysis of the network behavior of hive home devices. In: J.M. Lauret, M. Abdel-Maguid, Y. Jararweh and E. Benkhelifa, eds., 2021 8th International Conference on Internet of Things: Systems, Management and Security (IOTSMS). Piscataway: Institute of Electrical and Electronics Engineers. ISBN 9781665458689

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Abstract

Smart homes are gaining more popularity by the day due to the ease they provide in terms of running our homes. However, the energy and resource constrained nature of the smart home devices make security integration challenging, thus making them prone to cyber-attacks. This calls for a need to carry out extensive research on the behavior of these devices in order to design and incorporate better security tailored to their behavior. This paper collects traffic from the Hive home network and carries out an Exploratory Data Analysis (EDA) in terms of their behavior due to the lack of attention they face from the research community despite being one of the largest smart home service providers in the UK. The areas covered are device identification, traffic classification, device mode of control identification, flow volume, flow duration and protocols utilized by these devices both in active and idle states. Some of the covered areas involve components, which are exploited and used maliciously in DDoS flooding attacks, thus this paper compares the normal behavior of these components, to when they are exploited during attacks and in turn giving the end user what to watch out for in the case of an attack.

Item Type: Chapter in book
Description: Paper presented at the 2021 8th International Conference on Internet of Things, Systems, Management and Security (IOTSMS), Gandia, Spain [Virtual] 6-9 December 2021.
Creators: Wali, A., Apejoye, O., He, J. and Ma, X.
Publisher: Institute of Electrical and Electronics Engineers
Place of Publication: Piscataway
Date: 2021
ISBN: 9781665458689
Identifiers:
NumberType
10.1109/IOTSMS53705.2021.9704944DOI
1507116Other
Rights: © 2021 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Divisions: Schools > School of Science and Technology
Record created by: Laura Ward
Date Added: 14 Jan 2022 09:00
Last Modified: 04 Apr 2022 17:15
URI: http://irep.ntu.ac.uk/id/eprint/45316

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