Securing the IoT application layer from an MQTT protocol perspective: Challenges and research prospects

S Lakshminarayana, A Praseed… - … Surveys & Tutorials, 2024 - ieeexplore.ieee.org
The Internet of Things (IoT) is one of the most promising new millennial technologies, having
numerous applications in our surrounding environment. The fundamental goal of an IoT …

A systematic and comprehensive survey of recent advances in intrusion detection systems using machine learning: Deep learning, datasets, and attack taxonomy

A Momand, SU Jan, N Ramzan - Journal of sensors, 2023 - Wiley Online Library
Recently, intrusion detection systems (IDS) have become an essential part of most
organisations' security architecture due to the rise in frequency and severity of network …

[HTML][HTML] An enhanced intrusion detection model based on improved kNN in WSNs

G Liu, H Zhao, F Fan, G Liu, Q Xu, S Nazir - Sensors, 2022 - mdpi.com
Aiming at the intrusion detection problem of the wireless sensor network (WSN), considering
the combined characteristics of the wireless sensor network, we consider setting up a …

Machine-learning-based IoT–edge computing healthcare solutions

AK Alnaim, AM Alwakeel - Electronics, 2023 - mdpi.com
The data that medical sensors collect can be overwhelming, making it challenging to glean
the most relevant insights. An algorithm for a body sensor network is needed for the purpose …

[HTML][HTML] TNN-IDS: Transformer neural network-based intrusion detection system for MQTT-enabled IoT Networks

S Ullah, J Ahmad, MA Khan, MS Alshehri, W Boulila… - Computer Networks, 2023 - Elsevier
Abstract The Internet of Things (IoT) is a global network that connects a large number of
smart devices. MQTT is a de facto standard, lightweight, and reliable protocol for machine-to …

GAN-AE: An unsupervised intrusion detection system for MQTT networks

TK Boppana, P Bagade - Engineering Applications of Artificial Intelligence, 2023 - Elsevier
Households and businesses are becoming increasingly reliant on IoT systems since they
can reliably automate many tasks that otherwise require extensive human involvement. As a …

[HTML][HTML] Artificial intelligence algorithms for malware detection in android-operated mobile devices

H Alkahtani, THH Aldhyani - Sensors, 2022 - mdpi.com
With the rapid expansion of the use of smartphone devices, malicious attacks against
Android mobile devices have increased. The Android system adopted a wide range of …

[PDF][PDF] Deep learning algorithms for intrusion detection systems in internet of things using CIC-IDS 2017 dataset

J Jose, DV Jose - International Journal of Electrical and Computer …, 2023 - academia.edu
Due to technological advancements in recent years, the availability and usage of smart
electronic gadgets have drastically increased. Adoption of these smart devices for a variety …

Predicting blood–brain barrier permeability of molecules with a large language model and machine learning

ETC Huang, JS Yang, KYK Liao, WCW Tseng… - Scientific Reports, 2024 - nature.com
Predicting the blood–brain barrier (BBB) permeability of small-molecule compounds using a
novel artificial intelligence platform is necessary for drug discovery. Machine learning and a …