Characterizing and classifying IoT traffic in smart cities and campuses

By Arunan Sivanathan, Daniel Sherratt, H. Gharakheili, Adam Radford, C. Wijenayake, A. Vishwanath, V. Sivaraman. Conference on Computer Communications Workshops, 2017

373 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/629156451680666c4c46a9858c2fc34d0a35e121

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Eirini Anthi
2. Arunan Sivanathan
3. Lowri Williams
4. H. Gharakheili
5. M. Slowinska
6. F. Loi
7. G. Theodorakopoulos
8. Adam Radford

Citations in the corpus

• Classifying IoT Devices in Smart Environments Using Network Traffic Characteristics (2019, background): “Quantitatively, our preliminary work in [6] was one of the first”
• Network Intrusion Detection for IoT Security Based on Learning Techniques (2019, neutral): “IoT dataset [88], [92]: addresses IoT device classification based on network traffic characteristics.”
• A Supervised Intrusion Detection System for Smart Home IoT Devices (2019, background): “, [38]), three weeks worth of benign data”