A holistic review of machine learning adversarial attacks in IoT networks
With the rapid advancements and notable achievements across various application
domains, Machine Learning (ML) has become a vital element within the Internet of Things …
domains, Machine Learning (ML) has become a vital element within the Internet of Things …
Evasion Attack and Defense On Machine Learning Models in Cyber-Physical Systems: A Survey
Cyber-physical systems (CPS) are increasingly relying on machine learning (ML)
techniques to reduce labor costs and improve efficiency. However, the adoption of ML also …
techniques to reduce labor costs and improve efficiency. However, the adoption of ML also …
[HTML][HTML] Towards a robust, effective and resource efficient machine learning technique for IoT security monitoring
Abstract The application of Deep Neural Networks (DNNs) for monitoring cyberattacks in
Internet of Things (IoT) systems has gained significant attention in recent years. However …
Internet of Things (IoT) systems has gained significant attention in recent years. However …
Numerical feature selection and hyperbolic tangent feature scaling in machine learning-based detection of anomalies in the computer network behavior
Anomaly-based intrusion detection systems identify the computer network behavior which
deviates from the statistical model of typical network behavior. Binary classifiers based on …
deviates from the statistical model of typical network behavior. Binary classifiers based on …
An exploratory analysis of effect of adversarial machine learning attack on IoT-enabled industrial control systems
Machine Learning (ML)-based Intrusion Detection Systems (IDS) is an effective technology
to automatically detect cyber attacks in the Internet of Things (IoT) dependent Industrial …
to automatically detect cyber attacks in the Internet of Things (IoT) dependent Industrial …
Artificial intelligence: revolutionizing cyber security in the digital era
S Kumar, U Gupta, AK Singh, AK Singh - Journal of Computers …, 2023 - jcmm.co.in
As we navigate the digital era of the 21st century, cyber security has grown into a pressing
societal issue that requires innovative, cutting-edge solutions. In response to this pressing …
societal issue that requires innovative, cutting-edge solutions. In response to this pressing …
An investigation of energy consumption in fused deposition modelling using ESP32 IoT monitoring system
S Zakaria, P Mativenga, EARE Ariff - Procedia CIRP, 2023 - Elsevier
Energy price and availability have become an urgent global challenge. Manufacturers need
to model and reduce energy consumption and cost. To enable energy smart manufacturing …
to model and reduce energy consumption and cost. To enable energy smart manufacturing …
Adversarial Attacks on Intrusion Detection Systems in In-Vehicle Networks of Connected and Autonomous Vehicles
Rapid advancements in connected and autonomous vehicles (CAVs) are fueled by
breakthroughs in machine learning, yet they encounter significant risks from adversarial …
breakthroughs in machine learning, yet they encounter significant risks from adversarial …
A trust-centric approach to intrusion detection in edge networks for medical internet of thing Ecosystems
G Nagarajan, M Margala, P Chakrabarti… - Computers and Electrical …, 2024 - Elsevier
Abstract The Internet of Medical Things (IoMT) promises transformative benefits for patient
care and remote monitoring but raises significant security and privacy concerns. Ensuring …
care and remote monitoring but raises significant security and privacy concerns. Ensuring …
Pengembangan Auto-AI Model Generatif Analisis Kompleksitas Waktu Algoritma untuk Data Multi-Sensor IoT Pada Node-Red Menggunakan Extreme Learning …
I Cholissodin, D Syauqy, DA Firmanda, I Aji… - … Informasi dan Ilmu …, 2022 - jtiik.ub.ac.id
Awal mulanya, algoritma hanya dipakai untuk solusi penyelesaian persamaan matematika
sederhana, seperti aljabar, aritmatika, probabilitas, dan lainnya yang lebih banyak …
sederhana, seperti aljabar, aritmatika, probabilitas, dan lainnya yang lebih banyak …