Intrusion detection using network traffic profiling and machine learning for IoT

JR Rose, M Swann, G Bendiab… - 2021 IEEE 7th …, 2021 - ieeexplore.ieee.org
The rapid increase in the use of IoT devices brings many benefits to the digital society,
ranging from improved efficiency to higher productivity. However, the limited resources and …

IDERES: Intrusion detection and response system using machine learning and attack graphs

JR Rose, M Swann, KP Grammatikakis, I Koufos… - Journal of Systems …, 2022 - Elsevier
The rapid increase in the use of IoT devices brings many benefits to the digital society,
ranging from improved efficiency to higher productivity. However, the limited resources and …

A two-tier hybrid ensemble learning pipeline for intrusion detection systems in IoT networks

D Srivastav, P Srivastava - Journal of Ambient Intelligence and Humanized …, 2023 - Springer
With an increasing number of network devices, the need for a robust intrusion detection
system is also increasing for ensuring ubiquitous and secure Internet of Things (IoT) network …

A heuristic intrusion detection system for Internet-of-Things (IoT)

AH Qureshi, H Larijani, J Ahmad, N Mtetwa - … Computing: Proceedings of …, 2019 - Springer
Today, digitally connected devices are involved in every aspect of life due to the
advancements in Internet-of-Things (IoT) paradigm. Recently, it has been a driving force for …

A two-level hybrid model for anomalous activity detection in IoT networks

I Ullah, QH Mahmoud - 2019 16th IEEE Annual Consumer …, 2019 - ieeexplore.ieee.org
In this paper we propose a two-level hybrid anomalous activity detection model for intrusion
detection in IoT networks. The level-1 model uses flow-based anomaly detection, which is …

Effective anomaly detection using deep learning in IoT systems

L Aversano, ML Bernardi, M Cimitile… - Wireless …, 2021 - Wiley Online Library
Anomaly detection in network traffic is a hot and ongoing research theme especially when
concerning IoT devices, which are quickly spreading throughout various situations of …

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 …

Anomaly-based intrusion detection approach for IoT networks using machine learning

P Maniriho, E Niyigaba, Z Bizimana… - 2020 international …, 2020 - ieeexplore.ieee.org
The proliferation of the Internet of Things (IoT) devices in smart environments such as smart
cities or smart home facilitate communication between various objects. Nevertheless, this …

[PDF][PDF] Attack and anomaly detection in IoT networks using supervised machine learning approaches.

H Tyagi, R Kumar - Revue d'Intelligence Artificielle, 2021 - researchgate.net
Accepted: 9 February 2021 IoT is characterized by communication between things (devices)
that constantly share data, analyze, and make decisions while connected to the internet …

Anomaly detection on iot network intrusion using machine learning

Z Liu, N Thapa, A Shaver, K Roy, X Yuan… - … intelligence, big data …, 2020 - ieeexplore.ieee.org
Enhancing the security of IoT networks is trending as one of the most crucial issues the
information technology community faces. With large scales of IoT devices being developed …