A Lightweight Sel for Attack Detection in Iot/Iiot Networks

S Abdulkareem, C Foh, F Carrez, K Moessner - Iiot Networks - papers.ssrn.com
Intrusion detection systems (IDSs) that continuously monitor data flow and take swift action
when attacks are identified safeguard networks. Conventional IDS exhibit limitations, such …

ADEPT: Detection and identification of correlated attack stages in IoT networks

KLK Sudheera, DM Divakaran… - IEEE Internet of …, 2021 - ieeexplore.ieee.org
The fast-growing Internet-of-Things (IoT) market has opened up a large threat landscape,
given the wide deployment of IoT devices in both consumer and commercial spaces. Attacks …

An Efficient Feature Extraction Method for Attack Classification in IoT Networks

PH Do, TD Dinh, DT Le, L Myrova… - … Congress on Ultra …, 2021 - ieeexplore.ieee.org
Numerous attacks on the Internet of Things (IoTs) necessitate detection and prevention
technologies, such as Intrusion Detection Systems (IDSs). Anomaly detection is a time …

[HTML][HTML] Multi-Criteria Feature Selection Based Intrusion Detection for Internet of Things Big Data

J Wang, X Xiong, G Chen, R Ouyang, Y Gao, O Alfarraj - Sensors, 2023 - mdpi.com
The rapid growth of the Internet of Things (IoT) and big data has raised security concerns.
Protecting IoT big data from attacks is crucial. Detecting real-time network attacks efficiently …

Machine and deep learning approaches for IoT attack classification

A Nascita, F Cerasuolo, D Di Monda… - … -IEEE Conference on …, 2022 - ieeexplore.ieee.org
In recent years, Internet of Things (IoT) traffic has increased dramatically and is expected to
grow further in the next future. Because of their vulnerabilities, IoT devices are often the …

Utilizing the Ensemble Learning and XAI for Performance Improvements in IoT Network Attack Detection

CS Kalutharage, X Liu, C Chrysoulas… - European Symposium on …, 2023 - Springer
Abstract As Internet of Things (IoT) networks continue to expand, it has become increasingly
crucial to safeguard the security of these interconnected devices. This research study …

IoT Network Attack Severity Classification

B Madhu, SK Nayak, V Aerranagula… - E3S Web of …, 2023 - e3s-conferences.org
Lack of network security is a major roadblock for Internet of Things (IoT) implementations.
New attacks have emerged in recent times, taking advantage of vulnerabilities in IoT …

All predict wisest decides: A novel ensemble method to detect intrusive traffic in iot networks

Z Chen, M Simsek, B Kantarci… - 2021 IEEE Global …, 2021 - ieeexplore.ieee.org
Internet of things (IoT) networks confront vari-ous network intrusion threats due to massively
interconnected nodes that form an extensive attack surface for adversaries. Machine …

Feature entropy estimation (FEE) for malicious IoT traffic and detection using machine learning

TD Diwan, S Choubey, HS Hota… - Mobile Information …, 2021 - Wiley Online Library
Identification of anomaly and malicious traffic in the Internet of things (IoT) network is
essential for IoT security. Tracking and blocking unwanted traffic flows in the IoT network is …

Multiple Attack Classification in IoT Networks

A Dawah, M Al-Rousan, A Shatnawi… - 2023 Intelligent …, 2023 - ieeexplore.ieee.org
IoT technologies are increasingly emerging to include almost all aspects of life in healthcare,
agriculture, industry, transportation, and many more fields. However, IoT technology is …