WiFi Epidemiology: Can Your Neighbors' Router Make Yours Sick?
Hao Hu, Steven Myers, Vittoria Colizza, Alessandro Vespignani

TL;DR
This paper models how malware can rapidly spread through urban WiFi networks exploiting security flaws, highlighting a significant vulnerability that could infect tens of thousands of routers within days.
Contribution
It introduces an epidemiological model for WiFi malware spread considering real-world router data and security flaws, revealing critical vulnerabilities in urban WiFi networks.
Findings
Tens of thousands of routers infected within two weeks in simulations
Most infections occur within the first 24-48 hours
Identifies potential containment and prevention strategies
Abstract
In densely populated urban areas WiFi routers form a tightly interconnected proximity network that can be exploited as a substrate for the spreading of malware able to launch massive fraudulent attack and affect entire urban areas WiFi networks. In this paper we consider several scenarios for the deployment of malware that spreads solely over the wireless channel of major urban areas in the US. We develop an epidemiological model that takes into consideration prevalent security flaws on these routers. The spread of such a contagion is simulated on real-world data for geo-referenced wireless routers. We uncover a major weakness of WiFi networks in that most of the simulated scenarios show tens of thousands of routers infected in as little time as two weeks, with the majority of the infections occurring in the first 24 to 48 hours. We indicate possible containment and prevention measure…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
