A comprehensive survey on machine learning‐based intrusion detection systems for secure communication in internet of things

SVN Santhosh Kumar, M Selvi… - Computational …, 2023 - Wiley Online Library
The Internet of Things (IoT) is a distributed system which is made up of the connections of
smart objects (things) that can continuously sense the events in their sensing domain and …

Adoption of cloud computing as innovation in the organization

L Golightly, V Chang, QA Xu, X Gao… - International Journal of …, 2022 - journals.sagepub.com
Over the years, there has been a heavy reliance on cloud computing as IT has innovated
through time. In recent times cloud computing has grown monumentally. Many organizations …

A survey of intelligent transmission line inspection based on unmanned aerial vehicle

Y Luo, X Yu, D Yang, B Zhou - Artificial Intelligence Review, 2023 - Springer
With the development of the new generation of information technology, artificial intelligence,
cloud computing and big data are gradually becoming powerful engines of the smart grid. In …

Distributed Deep CNN‐LSTM Model for Intrusion Detection Method in IoT‐Based Vehicles

A Alferaidi, K Yadav, Y Alharbi… - Mathematical …, 2022 - Wiley Online Library
As 5G and other technologies are widely used in the Internet of Vehicles, intrusion detection
plays an increasingly important role as a vital detection tool for information security …

Phishing email detection model using deep learning

S Atawneh, H Aljehani - Electronics, 2023 - mdpi.com
Email phishing is a widespread cyber threat that can result in the theft of sensitive
information and financial loss. It uses malicious emails to trick recipients into providing …

An intelligent intrusion detection system for distributed denial of service attacks: A support vector machine with hybrid optimization algorithm based approach

S Sokkalingam, R Ramakrishnan - … and Computation: Practice …, 2022 - Wiley Online Library
Cloud computing offers comfortable service to business sectors as they can concentrate on
their products. Over the internet, cloud computing is liable to various security threats and …

Network intrusion detection based on the temporal convolutional model

IO Lopes, D Zou, IH Abdulqadder, S Akbar, Z Li… - Computers & …, 2023 - Elsevier
Recurrent networks have been adopted as default architecture in approaches performing
sequence modelling of network intrusion detection problems. However, models based on …

Adversarial training for deep learning-based cyberattack detection in IoT-based smart city applications

MM Rashid, J Kamruzzaman, MM Hassan, T Imam… - Computers & …, 2022 - Elsevier
Abstract Intrusion Detection Systems (IDS) based on deep learning models can identify and
mitigate cyberattacks in IoT applications in a resilient and systematic manner. These models …

An enhanced intrusion detection system for IoT networks based on deep learning and knowledge graph

X Yang, G Peng, D Zhang, Y Lv - Security and Communication …, 2022 - Wiley Online Library
Nowadays, the intrusion detection system (IDS) plays a crucial role in the Internet of Things
(IoT) networks, which could effectively protect sensitive data from various attacks. However …

A review of time-series analysis for cyber security analytics: from intrusion detection to attack prediction

M Landauer, F Skopik, B Stojanović, A Flatscher… - International Journal of …, 2025 - Springer
Understanding the current threat landscape as well as timely detection of imminent attacks
are primary objectives of cyber security. Through time-series modeling of security data, such …