Internet-of-Things (IoT) device security is a key concern within distributed networks. A lack of it may
lead to privacy breaches, data theft, and even physical harm in critical applications [1]. To mitigate
these risks, IoT device hardening is essential. Device hardening involves the implementation of robust
security measures and practices at both the hardware and software levels, ensuring that IoT devices
are resilient against cyber threats [2]. As the IoT ecosystem continues to expand, the critical
importance of device hardening is underscored by the ever-evolving threat landscape. IoT endpoints
often have limited computational resources and lack robust security mechanisms, making them
attractive targets for malicious actors [3].
Often, factory security configurations are not enough to mitigate common security & privacy
challenges, as emphasized in [4, 5, 6]. Hence, this thesis aims to contribute to existing IoT device
hardening research by developing more fine-grained security measures. One particular measure of
interest involves the design and implementation of a secure pairing process between an IoT endpoint
and a gateway for artwork tracking purposes. Artwork tracking with IoT devices is performed with
sensors attached to artworks to collect data on their location, condition, and environmental factors,
enabling real-time tracking, security, and preservation of valuable art collections [7].
References
[1] Schiller, E., Aidoo, A., Fuhrer, J., Stahl, J., Ziörjen, M., & Stiller, B. (2022). Landscape of IoT security.
Computer Science Review, 44, 100467.
[2] Hassan, W. H. (2019). Current research on Internet of Things (IoT) security: A survey. Computer
networks, 148, 283-294.
[3] Shiaeles, S., & Kolokotronis, N. (Eds.). (2021). Internet of things, threats, landscape, and
countermeasures. CRC Press.
[4] Kelly, C., Pitropakis, N., McKeown, S., & Lambrinoudakis, C. (2020). Testing and hardening IoT
devices against the Mirai botnet. In 2020 International conference on cyber security and protection of
digital services (cyber security) (pp. 1-8). IEEE.
[5] Rae, J. S., Chowdhury, M. M., & Jochen, M. (2019, May). Internet of things device hardening using
shodan. io and shovat: A survey. In 2019 IEEE international conference on electro information
technology (EIT) (pp. 379-385). IEEE.
[6] Nasir, M. H., Arshad, J., & Khan, M. M. (2023). Collaborative device-level botnet detection for
internet of things. Computers & Security, 129, 103172.
[7] Küffer, J., Rodrigues, P., & Stiller, B. (2023). ARTIS-Art Tracking with IoT and Blockchain.
Supervisors: Thomas Grübl
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