PERFORMANCE ANALYSIS OF IoT-ENABLED DDoS BOTNETS IN WEARABLE DEVICES

Wearable devices (WD) such as smartwatches, fitness trackers, Medical wearables, smart headphones, smart glasses, and smart clothing, etc. are gaining popularity in recent years as the number of users is increasing. With sensing, computing, and communication capability wearable devices are forming a new segment called Wearable Internet-of-Things (WIoT). There is a high chance for these WIoT devices to be new sources of attack for malicious activities such as botnet attacks. The goal of our research is to present a performance analysis of  DDoS capable IoT botnets in wearable devices. In the first part, we will show the possibilities of deploying these WIoT devices in DDoS attacks. To demonstrate this, we conducted repeated UDP, TCP, HTTP, and ICMP flooding attacks using BoNeSi DDoS botnet simulator, targeting a wearable device. We also proposed a mitigation technique using Cuckoo Filter (CF) which is designed based on benign source information.