Unsupervised machine learning for network-centric anomaly detection in IoT
R Bhatia, S Benno, J Esteban, TV Lakshman… - Proceedings of the 3rd …, 2019 - dl.acm.org
Industry 4.0 holds the promise of greater automation and productivity but also introduces
new security risks to critical industrial control systems from unsecured devices and …
new security risks to critical industrial control systems from unsecured devices and …
Effective anomaly detection using deep learning in IoT systems
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 …
concerning IoT devices, which are quickly spreading throughout various situations of …
Intrusion detection system on IoT with 5G network using deep learning
N Yadav, S Pande, A Khamparia… - … and Mobile Computing, 2022 - Wiley Online Library
The Internet of Things (IoT) cyberattacks of fully integrated servers, applications, and
communications networks are increasing at exponential speed. As problems caused by the …
communications networks are increasing at exponential speed. As problems caused by the …
Anomaly detection, analysis and prediction techniques in iot environment: A systematic literature review
M Fahim, A Sillitti - IEEE Access, 2019 - ieeexplore.ieee.org
Anomaly detection has attracted considerable attention from the research community in the
past few years due to the advancement of sensor monitoring technologies, low-cost …
past few years due to the advancement of sensor monitoring technologies, low-cost …
Lockedge: Low-complexity cyberattack detection in iot edge computing
Internet of Things (IoT) and its applications are becoming commonplace with more devices,
but always at risk of network security. It is therefore crucial for an IoT network design to …
but always at risk of network security. It is therefore crucial for an IoT network design to …
An intrusion detection system for fog computing and IoT based logistic systems using a smart data approach
The Internet of Things (IoT) is widely used in advanced logistic systems. Safety and security
of such systems are utmost important to guarantee the quality of their services. However …
of such systems are utmost important to guarantee the quality of their services. However …
Anomaly Detection IDS for Detecting DoS Attacks in IoT Networks Based on Machine Learning Algorithms
E Altulaihan, MA Almaiah, A Aljughaiman - Sensors, 2024 - mdpi.com
Widespread and ever-increasing cybersecurity attacks against Internet of Things (IoT)
systems are causing a wide range of problems for individuals and organizations. The IoT is …
systems are causing a wide range of problems for individuals and organizations. The IoT is …
Robust attack detection approach for IIoT using ensemble classifier
Generally, the risks associated with malicious threats are increasing for the IIoT and its
related applications due to dependency on the Internet and the minimal resource availability …
related applications due to dependency on the Internet and the minimal resource availability …
Explainable intrusion detection for cyber defences in the internet of things: Opportunities and solutions
N Moustafa, N Koroniotis, M Keshk… - … Surveys & Tutorials, 2023 - ieeexplore.ieee.org
The field of Explainable Artificial Intelligence (XAI) has garnered considerable research
attention in recent years, aiming to provide interpretability and confidence to the inner …
attention in recent years, aiming to provide interpretability and confidence to the inner …
A review on deep learning techniques for IoT data
Continuous growth in software, hardware and internet technology has enabled the growth of
internet-based sensor tools that provide physical world observations and data …
internet-based sensor tools that provide physical world observations and data …