loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Authors: Kevin Nordnes 1 ; Jia-Chun Lin 2 ; Ming-Chang Lee 2 and Victor Chang 3

Affiliations: 1 Mnemonic AS, Oslo, Norway ; 2 Department of Information Security and Communication Technology, Norwegian University of Science and Technology (NTNU), Gjøvik, Norway ; 3 Department of Operations and Information Management, Aston Business School, Aston University, Birmingham, U.K.

Keyword(s): IoT, Smart Homes, Penetration Testing, Security Testing, Vulnerability Identification, Network Scanning.

Abstract: As the prevalence of Internet of things (IoT) continues to increase, there is a corresponding escalation in security concerns. Given that many IoT devices lack robust security features, the need for specialized security testing tools has become evident. In this paper, we introduce an open-source automated penetration testing tool named IoTective for smart home environments in response to the increasing security concerns surrounding IoT devices. IoTective aims to discover devices in Wi-Fi, Bluetooth, and Zigbee networks, identify vulnerabilities, and gather valuable information for further analysis. IoTective streamlines the initial stages of reconnaissance, planning, and scanning, which provides a good support for a variety of devices and protocols common used in smart home environments. With a focus on ease of use and flexibility, the tool provides an intuitive user interface and customizable scanning capabilities. We evaluated the effectiveness of IoTective and explored the impact on overall security posture. Ethical considerations for automated penetration testing are also discussed. (More)

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 18.97.14.83

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Nordnes, K. ; Lin, J. ; Lee, M. and Chang, V. (2024). IoTective: Automated Penetration Testing for Smart Home Environments. In Proceedings of the 9th International Conference on Internet of Things, Big Data and Security - IoTBDS; ISBN 978-989-758-699-6; ISSN 2184-4976, SciTePress, pages 29-39. DOI: 10.5220/0012554500003705

@conference{iotbds24,
author={Kevin Nordnes and Jia{-}Chun Lin and Ming{-}Chang Lee and Victor Chang},
title={IoTective: Automated Penetration Testing for Smart Home Environments},
booktitle={Proceedings of the 9th International Conference on Internet of Things, Big Data and Security - IoTBDS},
year={2024},
pages={29-39},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012554500003705},
isbn={978-989-758-699-6},
issn={2184-4976},
}

TY - CONF

JO - Proceedings of the 9th International Conference on Internet of Things, Big Data and Security - IoTBDS
TI - IoTective: Automated Penetration Testing for Smart Home Environments
SN - 978-989-758-699-6
IS - 2184-4976
AU - Nordnes, K.
AU - Lin, J.
AU - Lee, M.
AU - Chang, V.
PY - 2024
SP - 29
EP - 39
DO - 10.5220/0012554500003705
PB - SciTePress