References
Akashdeep, Bhardwaj. (2024). Smart Home and Industrial IoT Devices: Critical Perspectives on
Cyberthreats, Frameworks and Protocols. doi: 10.2174/97898152567101240101
Ashawa, M., & Morris, S. (2021). Analysis of Mobile Malware: A Systematic Review of Evolution
and Infection Strategies. Journal of Information Security and Cybercrimes Research, 4(2),
103–131.
Azis, B., Ong, A. K. S., Prasetyo, Y. T., Persada, S. F., Young, M. N., Sari, Y. K. P., & Nadlifatin,
R. (2023). IoT human needs inside compact house. Journal of Open Innovation:
Technology, Market, and Complexity, 9(1), 1-9
Benaroch, Michel. (2021). Third-party induced cyber incidents—much ado about nothing?.
Journal of Cybersecurity. 7. 10.1093/cybsec/tyab020.
Bugeja, J., Jacobsson, A., & Davidsson, P. (2018). Smart connected homes. Internet of things A to
Z: Technologies and applications, 359-384.
Kounoudes, A. D., & Kapitsaki, G. M. (2020). A mapping of IoT user-centric privacy-preserving
approaches
to
the
GDPR.
Internet
of
Things,
11,
https://doi.org/10.1016/j.iot.2020.100179
Nkenyereye, L., Hwang, J., Pham, Q. V., & Song, J. (2021). Virtual IoT service slice functions for
multiaccess edge computing platform. IEEE Internet of Things Journal, 8(14), 11233-
Omar, Alshamsi., Khaled, Shaalan., Usman, Javed, Butt. (2024). Towards Securing Smart
Homes: A Systematic Literature Review of Malware Detection Techniques and
Recommended Prevention Approach. Information, 15(10):631-631. doi: 10.3390/
info15100631
Prabakaran, M. K., Meenakshi Sundaram, P., & Chandrasekar, A. D. (2023). An enhanced deep
learning?based phishing detection mechanism to effectively identify malicious URLs using
variational autoencoders. IET Information Security, 17(3), 423-440
Sebastian Garcia, Agustin Parmisano, & Maria Jose Erquiaga. (2020). IoT-23: A labeled dataset
with malicious and benign IoT network traffic (Version 1.0.0) [Data set]. Zenodo.
http://doi.org/10.5281/zenodo.4743746
Shobana, M., & Rathi, S. (2018). Iot malware: An analysis of iot device hijacking. International
Journal of Scientific Research in Computer Science, Computer Engineering, and
Information Technology, 3(5), 2456-3307
Song, M. (2023, September 15). Understanding the Confusion Matrix Without Confusion.
Medium. https://medium.com/@msong507/understanding-the-confusion-matrix-without
confusion-126b25dd773c
Vadigi, S., Sethi, K., Mohanty, D., Das, S. P., & Bera, P. (2023). Federated reinforcement learning-
based intrusion detection system using dynamic attention mechanism. Journal of
Information
Security
and
Applications,
78,
https://doi.org/10.1016/j.jisa.2023.103608
Zrelli, A. (2022). Hardware, software platforms, operating systems and routing protocols for
Internet of Things applications. Wireless Personal Communications, 122(4), 3889-3912
