[HTML][HTML] Deep learning for network traffic monitoring and analysis (NTMA): A survey

M Abbasi, A Shahraki, A Taherkordi - Computer Communications, 2021 - Elsevier
Modern communication systems and networks, eg, Internet of Things (IoT) and cellular
networks, generate a massive and heterogeneous amount of traffic data. In such networks …

[PDF][PDF] Comprehensive survey for cloud computing based nature-inspired algorithms optimization scheduling

HS Yahia, SR Zeebaree, MA Sadeeq… - Asian Journal of …, 2021 - researchgate.net
Many applications in the real world include optimizing specific targets, such as cost
minimization, energy conservation, climate, and maximizing production, efficiency, and …

Fusion of statistical importance for feature selection in Deep Neural Network-based Intrusion Detection System

A Thakkar, R Lohiya - Information Fusion, 2023 - Elsevier
Abstract Intrusion Detection System (IDS) is an essential part of network as it contributes
towards securing the network against various vulnerabilities and threats. Over the past …

[HTML][HTML] A machine learning-based intrusion detection for detecting internet of things network attacks

YK Saheed, AI Abiodun, S Misra, MK Holone… - Alexandria Engineering …, 2022 - Elsevier
Abstract The Internet of Things (IoT) refers to the collection of all those devices that could
connect to the Internet to collect and share data. The introduction of varied devices …

Multimodal emotion recognition using deep learning

SMSA Abdullah, SYA Ameen, MAM Sadeeq… - Journal of Applied …, 2021 - jastt.org
New research into human-computer interaction seeks to consider the consumer's emotional
status to provide a seamless human-computer interface. This would make it possible for …

[PDF][PDF] Investigating the use of an artificial intelligence model in an ERP cloud-based system

N Yathiraju - International Journal of Electrical, Electronics and …, 2022 - academia.edu
Enterprise Resource Planning (ERP) systems are necessary to improve an enterprise's
management performance. However, the perception of information technology (IT) …

Scalable machine learning-based intrusion detection system for IoT-enabled smart cities

MA Rahman, AT Asyhari, LS Leong, GB Satrya… - Sustainable Cities and …, 2020 - Elsevier
Given a scale expansion of Internet of Things for sustainable resource management in smart
cities, proper design of an intrusion detection system (IDS) is critical to safeguard the future …

[PDF][PDF] Evolution of mobile wireless communication to 5G revolution

AA Salih, SR Zeebaree, AS Abdulraheem… - … Reports of Kansai …, 2020 - researchgate.net
Over recent years, the evolution of mobile wireless communication in the world has become
more important after arrival 5G technology. This evolution journey consists of several …

Evaluation of classification algorithms for intrusion detection system: A review

AA Salih, AM Abdulazeez - Journal of Soft Computing and …, 2021 - publisher.uthm.edu.my
Intrusion detection is one of the most critical network security problems in the technology
world. Machine learning techniques are being implemented to improve the Intrusion …

A survey of data mining implementation in smart city applications

ZS Ageed, SRM Zeebaree… - Qubahan Academic …, 2021 - journal.qubahan.com
Many policymakers envisage using a community model and Big Data technology to achieve
the sustainability demanded by intelligent city components and raise living standards. Smart …