Optimal Control of Malware Propagation in IoT Networks
CoRR(2024)
摘要
The rapid proliferation of Internet of Things (IoT) devices in recent years
has resulted in a significant surge in the number of cyber-attacks targeting
these devices. Recent data indicates that the number of such attacks has
increased by over 100 percent, highlighting the urgent need for robust
cybersecurity measures to mitigate these threats. In addition, a cyber-attack
will begin to spread malware across the network once it has successfully
compromised an IoT network. However, to mitigate this attack, a new patch must
be applied immediately. In reality, the time required to prepare and apply the
new patch can vary significantly depending on the nature of the cyber-attack.
In this paper, we address the issue of how to mitigate cyber-attacks before the
new patch is applied by formulating an optimal control strategy that reduces
the impact of malware propagation and minimise the number of infected devices
across IoT networks in the smart home. A novel node-based epidemiological model
susceptible, infected high, infected low, recover first, and recover
complete(SI_HI_LR_FR_C) is established with immediate response state for the
restricted environment. After that, the impact of malware on IoT devices using
both high and low infected rates will be analyzed. Finally, to illustrate the
main results, several numerical analyses are carried out in addition to
simulate the real-world scenario of IoT networks in the smart home, we built a
dataset to be used in the experiments.
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