The rise of traffic classification in IoT networks: A survey

H Tahaei, F Afifi, A Asemi, F Zaki, NB Anuar - Journal of Network and …, 2020 - Elsevier
With the proliferation of the Internet of Things (IoT), the integration and communication of
various objects have become a prevalent practice. The huge growth of IoT devices and …

Vulnerability retrospection of security solutions for software-defined Cyber–Physical System against DDoS and IoT-DDoS attacks

M Snehi, A Bhandari - Computer Science Review, 2021 - Elsevier
The wide dispersion of the Internet of Things (IoT), Software-defined Networks and Cloud
Computing have given the wings to Cyber–Physical System adoption. The newfangled …

Boosting-based DDoS detection in internet of things systems

I Cvitić, D Perakovic, BB Gupta… - IEEE Internet of Things …, 2021 - ieeexplore.ieee.org
Distributed Denial-of-Service (DDoS) attacks remain challenging to mitigate in the existing
systems, including in-home networks that comprise different Internet of Things (IoT) devices …

Blockchain-based secured access control in an IoT system

S Algarni, F Eassa, K Almarhabi, A Almalaise… - Applied Sciences, 2021 - mdpi.com
The distributed nature of Internet of Things (IoT) and its rapid increase on a large scale
raises many security and privacy issues. Access control is one of the major challenges …

Novel approach for detection of IoT generated DDoS traffic

I Cvitić, D Peraković, M Periša, M Botica - Wireless Networks, 2021 - Springer
The problem of detecting anomalies in network traffic caused by the distributed denial of
service (DDoS) attack so far has mainly been investigated in terms of detection of illegitimate …

Wsn-bfsf: a new data set for attacks detection in wireless sensor networks

M Dener, C Okur, S Al, A Orman - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
The popularity of wireless sensor networks (WSNs) increases as the usage areas and the
number of integrated systems increase, and this situation attracts the attention of attackers …

Novel classification of IoT devices based on traffic flow features

I Cvitić, D Peraković, M Periša… - Journal of Organizational …, 2021 - igi-global.com
Abstract The concept of IoT (Internet of Things) assumes a continuous increase in the
number of devices, which raises the problem of classifying them for different purposes …

A survey on machine learning based detection on DDoS attacks for IoT systems

K Wehbi, L Hong, T Al-salah, AA Bhutta - 2019 SoutheastCon, 2019 - ieeexplore.ieee.org
Internet of Things (IoT) is transforming the way we live today, improving the quality of living
standard and growing the world economy by having smart devices around us making …

XSS Armor: Constructing XSS defensive framework for preserving big data privacy in internet-of-things (IoT) networks

P Chaudhary, BB Gupta, AK Singh - Journal of circuits, systems and …, 2022 - World Scientific
Big data characterizes superfluity of voluminous data that may be in unstructured, structured
and/or semi-structured format. Internet of Things networks emerged as one of the biggest …

Detecting iot botnet attacks using machine learning methods

O Celil, M DENER - 2020 International Conference on …, 2020 - ieeexplore.ieee.org
Today, with the technological developments, the use of internet connected devices is
increasing. It is a fact that life has become easier with the" Internet of Things (IoT), which …