A survey of internet of things and cyber-physical systems: standards, algorithms, applications, security, challenges, and future directions

KT Chui, BB Gupta, J Liu, V Arya, N Nedjah… - Information, 2023 - mdpi.com
The smart city vision has driven the rapid development and advancement of interconnected
technologies using the Internet of Things (IoT) and cyber-physical systems (CPS). In this …

VANET network traffic anomaly detection using GRU-based deep learning model

G ALMahadin, Y Aoudni, M Shabaz… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
The rise of Vehicular Ad-hoc Networks (VANETs) has led to the growing significance in
intelligent transportation systems. This research suggests a deep learning model for …

Modified genetic algorithm and fine-tuned long short-term memory network for intrusion detection in the internet of things networks with edge capabilities

YK Saheed, OH Abdulganiyu, TA Tchakoucht - Applied Soft Computing, 2024 - Elsevier
The emergence of smart cities is an example of how new technologies, such as the Internet
of Things (IoT), have facilitated the creation of extensive interconnected and intelligent …

[PDF][PDF] Intrusion detection in the Internet of Things using fusion of GRU-LSTM deep learning model

MS Al-kahtani, Z Mehmood, T Sadad… - … Automation & Soft …, 2023 - researchgate.net
Cybersecurity threats are increasing rapidly as hackers use advanced techniques. As a
result, cybersecurity has now a significant factor in protecting organizational limits. Intrusion …

A blended deep learning intrusion detection framework for consumable edge-centric iomt industry

JA Alzubi, OA Alzubi, I Qiqieh… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
The demand for medical sensors in the Smart Healthcare System (SHS) creates an
intelligent Internet of Medical Things (IoMT) system. This system plays an important role in …

Multi-source data based anomaly detection through temporal and spatial characteristics

P Xu, Q Gao, Z Zhang, K Zhao - Expert Systems with Applications, 2024 - Elsevier
Anomaly detection is vital in complex distributed systems. However, existing methods did not
take into full account the temporal and spatial characteristics of data from multiple sources in …

Optimization of network topology robustness in IoTs: A systematic review

SA Changazi, AD Bakhshi, M Yousaf, SM Mohsin… - Computer Networks, 2024 - Elsevier
Abstract Internet of Things (IoT) has emerged as one of the most promising technologies of
the modern era, enabling connectivity between devices and systems for efficient data …

Unveiling encrypted traffic types through hierarchical network characteristics

Y Chen, J Yang, S Cui, C Dong, B Jiang, Y Liu… - Computers & Security, 2024 - Elsevier
The wide adoption of encrypted traffic brings challenges to network management. Previous
studies propose different approaches to tackle this problem. However, most of them still …

Multi-granularity abnormal traffic detection based on multi-instance learning

X Jiang, HR Zhang, Y Zhou - IEEE Transactions on Network …, 2023 - ieeexplore.ieee.org
In practical scenarios, abnormal network traffic detection often requires analysis of massive,
high-dimensional, and unbalanced data. Popular detection methods waste time by …

Adaptive intrusion detection systems: Class incremental learning for IoT emerging threats

F Cerasuolo, G Bovenzi, C Marescalco… - … Conference on Big …, 2023 - ieeexplore.ieee.org
In the evolving landscape of Internet of Things (IoT) security, the need for continuous
adaptation of defenses is critical. Class Incremental Learning (CIL) can provide a viable …