A Comparative Study of Novelty Detection Models for Zero Day Intrusion Detection in Industrial Internet of Things

U Otokwala, M Arifeen, A Petrovski - UK Workshop on Computational …, 2022 - Springer
The detection of zero-day attacks in the IoT network is a challenging task due to unknown
security vulnerabilities. Also, the unavailability of the data makes it difficult to train a machine …

Check for updates A Comparative Study of Novelty Detection Models for Zero Day Intrusion Detection in Industrial Internet of Things

U Otokwala, M Arifeen, A Petrovski - … Presented at the 21st UK Workshop … - books.google.com
The detection of zero-day attacks in the IoT network is a challenging task due to unknown
security vulnerabilities. Also, the unavailability of the data makes it difficult to train a machine …

Detecting Zero-Day Attack with Federated Learning Using Autonomously Extracted Anomalies in IoT

T Ohtani, R Yamamoto… - 2024 IEEE 21st Consumer …, 2024 - ieeexplore.ieee.org
In recent years, Internet of Things (IoT) has become an essential element of our daily lives.
However, IoT devices used in IoT environments have limited available resources due to …

A Smart IDS in IoT System to Detect Zero-Day Intrusions Using Automated Signature Update

M Mahmood, Q Shafi - 2023 - researchsquare.com
Protecting industry infrastructure from cyber-attacks is the necessity of time. We heard of
zero-day attacks, and now every industry is facing them. The death of the Perimeter term in …

[PDF][PDF] AID4I: An Intrusion Detection Framework for Industrial Internet of Things Using Automated Machine Learning.

A Sezgin, A Boyacı - Computers, Materials & Continua, 2023 - cdn.techscience.cn
By identifying and responding to any malicious behavior that could endanger the system, the
Intrusion Detection System (IDS) is crucial for preserving the security of the Industrial Internet …

Novel online network intrusion detection system for industrial IoT based on OI-SVDD and AS-ELM

E Gyamfi, AD Jurcut - IEEE Internet of Things Journal, 2022 - ieeexplore.ieee.org
The Industrial Internet of Things (IIoT) should be equipped with computational resources to
detect network intrusions, types of attacks, and update their models automatically in real …

[PDF][PDF] Towards an effective zero-day attack detection using outlier-based deep learning techniques

H Hindy, R Atkinson, C Tachtatzis… - ArXiv, vol. abs …, 2020 - researchgate.net
Abstract Machine Learning (ML) and Deep Learning (DL) have been broadly used for
building Intrusion Detection Systems (IDS). The continuing increase in new unknown cyber …

An Empirical Evaluation of Machine Learning Algorithms for Intrusion Detection in IIoT Networks

M Matke, K Saurabh, U Singh - 2023 IEEE 20th India Council …, 2023 - ieeexplore.ieee.org
Industry's reliance on IoT has skyrocketed as the technology has developed and has
transformed into the Industrial IoT (IIoT). The IIoT has brought significant benefits to the …

A review on IoT intrusion detection systems using supervised machine learning: Techniques, datasets, and algorithms

AR Abdulla, NGM Jameel - UHD Journal of Science and …, 2023 - journals.uhd.edu.iq
Physical objects that may communicate with one another are referred to “things” throughout
the Internet of Things (IoT) concept. It introduces a variety of services and activities that are …

Artificial immunity based distributed and fast anomaly detection for Industrial Internet of Things

B Li, Y Chang, H Huang, W Li, T Li, W Chen - Future Generation Computer …, 2023 - Elsevier
Recent years have witnessed an increased attack surface of the Industrial Internet of Things
(IIoT), as the deep convergence of the Internet of Things (IoT) and other information and …