# Network Traffic Characteristics of IoT Devices in Smart Homes

arXiv: https://arxiv.org/abs/2109.01855 · HTML: https://mlsanity.com/paper/2109.01855/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 4 Sep 2021.

## Built on by (most cited first, 1 of 1)

- [Intriguing Equivalence Structures of the Embedding Space of Vision Transformers](https://mlsanity.com/paper/2401.15568/) (2024)

## Abstract (arXiv)

Understanding network traffic characteristics of IoT devices plays a critical role in improving both the performance and security of IoT devices, including IoT device identification, classification, and anomaly detection. Although a number of existing research efforts have developed machine-learning based algorithms to help address the challenges in improving the security of IoT devices, none of them have provided detailed studies on the network traffic characteristics of IoT devices. In this paper we collect and analyze the network traffic generated in a typical smart homes environment consisting of a set of common IoT (and non-IoT) devices. We analyze the network traffic characteristics of IoT devices from three complementary aspects: remote network servers and port numbers that IoT devices connect to, flow-level traffic characteristics such as flow duration, and packet-level traffic characteristics such as packet inter-arrival time. Our study provides critical insights into the operational and behavioral characteristics of IoT devices, which can help develop more effective security and performance algorithms for IoT devices.