IoT‐IE: An Information‐Entropy‐Based Approach to Traffic Anomaly Detection in Internet of Things

Y Sun, J Yu, J Tian, Z Chen, W Wang… - Security and …, 2021 - Wiley Online Library
Security issues related to the Internet of Things (IoTs) have attracted much attention in many
fields in recent years. One important problem in IoT security is to recognize the type of IoT …

IoT Traffic Analyzer Tool with Automated and Holistic Feature Extraction Capability

A Subahi, M Almasre - Sensors, 2023 - mdpi.com
The Internet of Things (IoT) is an emerging technology that attracted considerable attention
in the last decade to become one of the most researched topics in computer science studies …

Identifying SH-IoT devices from network traffic characteristics using random forest classifier

RR Chowdhury, AC Idris, PE Abas - Wireless Networks, 2024 - Springer
In the cyberspace, device identification has become one of the most important factors in
improving security of a network, containing both Internet of Things (IoT) and non-IoT devices …

EIoT-DDoS: embedded classification approach for IoT traffic-based DDoS attacks

P Shukla, CR Krishna, NV Patil - Cluster Computing, 2024 - Springer
Abstract The Internet of Things (IoT) has shown incredible adaptability in recent years and
has become an integral part of human life. The proliferation of IoT technology has made IoT …

Iotfinder: Efficient large-scale identification of iot devices via passive dns traffic analysis

R Perdisci, T Papastergiou, O Alrawi… - 2020 IEEE european …, 2020 - ieeexplore.ieee.org
Being able to enumerate potentially vulnerable IoT devices across the Internet is important,
because it allows for assessing global Internet risks and enables network operators to check …

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 …

Cor-ENTC: correlation with ensembled approach for network traffic classification using SDN technology for future networks

S Paramasivam, RL Velusamy - The Journal of Supercomputing, 2023 - Springer
According to a study on advanced technology, resource planning, and design for Fifth
Generation (5G) architecture and elsewhere, network traffic classification is a basic and …

Efficient IoT traffic inference: From multi-view classification to progressive monitoring

A Pashamokhtari, G Batista… - ACM Transactions on …, 2023 - dl.acm.org
Machine learning-based techniques have proven to be effective in Internet-of-Things (IoT)
network behavioral inference. Existing works developed data-driven models based on …

A dynamic network traffic classifier using supervised ML for a Docker-based SDN network

PK Mondal, LP Aguirre Sanchez, E Benedetto… - Connection …, 2021 - Taylor & Francis
With the rapid technological growth in the last decades, the number of devices and users
has drastically increased. Software-defined networking (SDN) with machine learning (ML) …

An innovative reinforcement learning-based framework for quality of service provisioning over multimedia-based sdn environments

A Al-Jawad, IS Comşa, P Shah… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
Within the current global context, the coronavirus pandemic has led to an unprecedented
surge in the Internet traffic, with most of the traffic represented by video. The improved wired …