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Proactive Defense for Internet-of-things: Moving Target Defense With Cyberdeception

The work addresses the protection of vulnerable components in Internet-of-Things (IoT) networks through an intrusion prevention technique that combines cyberdeception (a decoy system) and moving target defense (network topology shuffling). The authors analytically evaluate effectiveness and efficiency using a graphical security model in an SDN-based IoT network, defining strategies for when and how to perform topology shuffling to pursue goals such as prolonging system lifetime, increasing attack complexity on critical nodes, or maintaining service availability.

DecoyMoving target defenseIoTNetwork

What we know

The work addresses the protection of vulnerable components in Internet-of-Things (IoT) networks through an intrusion prevention technique that combines cyberdeception (a decoy system) and moving target defense (network topology shuffling). The authors analytically evaluate effectiveness and efficiency using a graphical security model in an SDN-based IoT network, defining strategies for when and how to perform topology shuffling to pursue goals such as prolonging system lifetime, increasing attack complexity on critical nodes, or maintaining service availability.

Evidence limits

Review limited to the Crossref-deposited abstract only; the full text was not read and the results were not independently validated.

Reviewed: author abstract. Full-text results were not analyzed.

Sources and provenance

  1. Proactive Defense for Internet-of-things: Moving Target Defense With Cyberdeception
    abstract · 2026-10-11

Reviewed: 2026-10-13. This record may change when new evidence is found.

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