The benefits of deceit: a malicious client in a 5G cellular network

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Quinlan, Jason J.
Roedig, Utz
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Institute of Electrical and Electronics Engineers (IEEE)
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As we advance towards Smart Cities, autonomous vehicles and the avalanche of IoT devices proposed for the future, we need to give careful consideration to how easily compromised nodes/devices can impact network state. Current proposals for autonomous smart devices typically use cellular networks as the backhaul or final hop. These devices will leverage existing trust-based client-side channel metrics, such as channel quality indicator (CQI), when the base-station determines scheduling decisions. In this short paper, we investigate the scheduling impact of a malicious device when it changes its channel metrics, so as to improve its download rate or even to negate the download rate of others. We utilise real-time 4K ultra-high definition video delivery as an example of high throughput demand application and compare the delivery rates of multiple devices in an open-source 5G simulated NS-3 network. Our results illustrate that when a malicious client deceives the scheduler, the other clients in the network have a noticeable decrease in both viewable quality and underlying delivery rate (25% decrease in the average video quality across the non malicious clients).
Channel quality indicator , CQI , Scheduling , Malicious device , Download rate , High throughput demand application , Real-time , 4K ultra-high definition video , Open-source 5G simulated NS-3 network , Delivery rate
Quinlan, J. J. and Roedig, U. (2019) 'The benefits of deceit: a malicious client in a 5G cellular network', IEEE International Symposium on Local and Metropolitan Area Networks (LANMAN), Paris, France, 1-3 July.
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