Arunan Sivanathan

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The rapid growth of Internet-of-Things (IoT) devices, such as smart-bulbs, smoke-alarms, webcams, and health-monitoring devices, is accompanied by escalating threats of attacks that can seriously compromise household and personal safety. Recent works have advocated the use of network-level solutions to detect and prevent attacks on smart-home IoT devices.(More)
Distributed Denial-of-Service (DDoS) attacks are increasing in frequency and volume on the Internet, and there is evidence that cyber-criminals are turning to Internet-of-Things (IoT) devices such as cameras and vending machines as easy launchpads for large-scale attacks. This paper quantifies the capability of consumer IoT devices to participate in(More)
Internet-of-Things (IoT) devices such as smart bulbs, cameras, and health monitors are being enthusiastically adopted by consumers, with numbers projected to rise to the billions. However, such devices are also easily attacked, or used for launching attacks, at large scale and at increasing frequency. This paper is an attempt at developing a systematic(More)
Campuses and cities of the near future will be equipped with vast numbers of IoT devices. Operators of such environments may not even be fully aware of their IoT assets, let alone whether each IoT device is functioning properly safe from cyber-attacks. This paper proposes the use of network traffic analytics to characterize IoT devices, including their(More)
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