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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 …
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
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 …
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
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 …
the combined characteristics of the wireless sensor network, we consider setting up a …
Machine-learning-based IoT–edge computing healthcare solutions
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 …
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
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 …
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 …
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
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 …
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
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 …
electronic gadgets have drastically increased. Adoption of these smart devices for a variety …
Distributed deep neural-network-based middleware for cyber-attacks detection in smart IoT ecosystem: A novel framework and performance evaluation approach
Cyberattacks always remain the major threats and challenging issues in the modern digital
world. With the increase in the number of internet of things (IoT) devices, security challenges …
world. With the increase in the number of internet of things (IoT) devices, security challenges …
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 …
novel artificial intelligence platform is necessary for drug discovery. Machine learning and a …