Securing smart homes via software-defined networking and low-cost traffic classification

H Gordon, C Batula, B Tushir… - 2021 IEEE 45th …, 2021 - ieeexplore.ieee.org
IoT devices have become popular targets for various network attacks due to their lack of
industry-wide security standards. In this work, we focus on the classification of smart home …

Network traffic characteristics of iot devices in smart homes

M Mainuddin, Z Duan, Y Dong - 2021 International Conference …, 2021 - ieeexplore.ieee.org
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 …

Software defined network security framework for IoT based smart home and city applications

S Wang, KM Gomez… - … conference on signal …, 2019 - ieeexplore.ieee.org
As a popular application of Internet of Things (IoT), Smart City Frameworks aim to provide
real time tracking, intelligent control and surveillance across the city. Thus the improvement …

Smart home networks: Security perspective and ml-based ddos detection

Y Al Mtawa, H Singh, A Haque… - 2020 IEEE Canadian …, 2020 - ieeexplore.ieee.org
Internet of Things (IoT) allows households to have real-time access to various services such
as IP cameras for monitoring home security, automatic climate controls, doors and window …

[HTML][HTML] SDN-based detection and mitigation of DDoS attacks on smart homes

UH Garba, AN Toosi, MF Pasha, S Khan - Computer Communications, 2024 - Elsevier
The adoption of the Internet of Things (IoT) has proliferated across various domains, where
everyday objects like refrigerators and washing machines are now equipped with sensors …

Network traffic flow based machine learning technique for IoT device identification

I Ullah, QH Mahmoud - 2021 IEEE international systems …, 2021 - ieeexplore.ieee.org
Security and privacy issues are being raised as smart systems are integrated into our daily
lives. New security issues have emerged with several new vendors that develop the Internet …

Securing a smart home with a transformer-based iot intrusion detection system

M Wang, N Yang, N Weng - Electronics, 2023 - mdpi.com
Machine learning (ML)-based Network Intrusion Detection Systems (NIDSs) can classify
each network's flow behavior as benign or malicious by detecting heterogeneous features …

A survey of smart home iot device classification using machine learning-based network traffic analysis

H Jmila, G Blanc, MR Shahid, M Lazrag - IEEE Access, 2022 - ieeexplore.ieee.org
Smart home IoT devices lack proper security, raising safety and privacy concerns. One-size-
fits-all network administration is ineffective because of the diverse QoS requirements of IoT …

Home iot intrusion prevention strategy based on edge computing

C Jiang, J Kuang, S Wang - 2019 IEEE 2nd International …, 2019 - ieeexplore.ieee.org
Due to the sheer number and heterogeneity of IoT devices, it is not possible to secure the
IoT ecosystem using traditional endpoint and network security solutions. To address the …

An efficient SDN architecture for smart home security accelerated by FPGA

H Gordon, C Park, B Tushir, Y Liu… - 2021 IEEE International …, 2021 - ieeexplore.ieee.org
With the rise of Internet of Things (IoT) devices, home network management and security are
becoming complex. There is an urgent requirement to make smart home network …