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American Scientific Publishing Group

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Journal of Cognitive Human-Computer Interaction

ISSN
Online: 2771-1463 Print: 2771-1471
Frequency

Continuous publication

Publication Model

Open access journal. All articles are freely available online with no APC.

Journal of Cognitive Human-Computer Interaction
Full Length Article

Volume 11Issue 2PP: 01–04 • 2026

Guardian Light: An Edge-Resilient Fail-Safe Mechanism for IoT Smart Lighting Against DDoS and Network Partitions

Lokman Fadzıl 1* ,
Tımothy Hong 1
1Cybersecurity Research Centre (CYRES), Universiti Sains Malaysia, Penang 11800, Malaysia
* Corresponding Author.
Received: December 12, 2025 Revised: February 05, 2026 Accepted: March 08, 2026

Abstract

New cybersecurity and operational resilience issues have been brought about by the growing use of cloud managed

smart street lighting in metropolitan settings, especially in the event of network partitioning and Distributed Denial of Service (DDoS) assaults. Current systems still rely mostly on centralized cloud control, which creates a single point of failure that might compromise public safety and interfere with vital lighting functions. In the context of the author’s Streetlight-as-a-Service (SLaaS) framework, where streetlights operate as intelligent, service-capable infrastructure nodes rather than discrete lighting devices, this paper proposes Guardian Light, an edge-resilient fail-safe mechanism for intelligent street lighting. The suggested design uses AWS IoT Core, AWS IoT Device Defender, and AWS IoT Greengrass to combine device-side autonomous governance with cloud-side anomaly detection. With the help of an internal real-time clock, state-aware failover logic, persistent offline scheduling, and local threshold monitoring, Guardian Light makes it possible for lighting nodes to continue operating safely and consistently even in the event that malicious traffic is discovered or cloud connectivity is compromised. The study emphasizes how current smart lighting research goes beyond energy saving and scheduling to cyber-resilient operational continuity through the integration of edge intelligence and service-oriented streetlight design. By doing this, the study offers a workable and theoretically sound solution to improve the autonomy, security, and dependability of next-generation SLaaS-enabled smart city systems.

Keywords

Smart Cities IoT Security Edge Computing AWS IoT DDoS Mitigation Operational Continuity

References

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Cite This Article

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Fadzıl, Lokman , Hong, Tımothy . "Guardian Light: An Edge-Resilient Fail-Safe Mechanism for IoT Smart Lighting Against DDoS and Network Partitions." Journal of Cognitive Human-Computer Interaction, vol. Volume 11, no. Issue 2, 2026, pp. 01–04. DOI: https://doi.org/10.54216/JCHCI.110201
Fadzıl, L., Hong, T. (2026). Guardian Light: An Edge-Resilient Fail-Safe Mechanism for IoT Smart Lighting Against DDoS and Network Partitions. Journal of Cognitive Human-Computer Interaction, Volume 11(Issue 2), 01–04. DOI: https://doi.org/10.54216/JCHCI.110201
Fadzıl, Lokman , Hong, Tımothy . "Guardian Light: An Edge-Resilient Fail-Safe Mechanism for IoT Smart Lighting Against DDoS and Network Partitions." Journal of Cognitive Human-Computer Interaction Volume 11, no. Issue 2 (2026): 01–04. DOI: https://doi.org/10.54216/JCHCI.110201
Fadzıl, L., Hong, T. (2026) 'Guardian Light: An Edge-Resilient Fail-Safe Mechanism for IoT Smart Lighting Against DDoS and Network Partitions', Journal of Cognitive Human-Computer Interaction, Volume 11(Issue 2), pp. 01–04. DOI: https://doi.org/10.54216/JCHCI.110201
Fadzıl L, Hong T. Guardian Light: An Edge-Resilient Fail-Safe Mechanism for IoT Smart Lighting Against DDoS and Network Partitions. Journal of Cognitive Human-Computer Interaction. 2026;Volume 11(Issue 2):01–04. DOI: https://doi.org/10.54216/JCHCI.110201
L. Fadzıl, T. Hong, "Guardian Light: An Edge-Resilient Fail-Safe Mechanism for IoT Smart Lighting Against DDoS and Network Partitions," Journal of Cognitive Human-Computer Interaction, vol. Volume 11, no. Issue 2, pp. 01–04, 2026. DOI: https://doi.org/10.54216/JCHCI.110201
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