Network intrusion detection system: A systematic study of machine learning and deep learning approaches
The rapid advances in the internet and communication fields have resulted in a huge
increase in the network size and the corresponding data. As a result, many novel attacks are …
increase in the network size and the corresponding data. As a result, many novel attacks are …
Cybersecurity threats and their mitigation approaches using Machine Learning—A Review
Machine learning is of rising importance in cybersecurity. The primary objective of applying
machine learning in cybersecurity is to make the process of malware detection more …
machine learning in cybersecurity is to make the process of malware detection more …
Anomaly detection using deep neural network for IoT architecture
The revolutionary idea of the internet of things (IoT) architecture has gained enormous
popularity over the last decade, resulting in an exponential growth in the IoT networks …
popularity over the last decade, resulting in an exponential growth in the IoT networks …
A spectrogram image-based network anomaly detection system using deep convolutional neural network
The dynamics of computer networks have changed rapidly over the past few years due to a
tremendous increase in the volume of the connected devices and the corresponding …
tremendous increase in the volume of the connected devices and the corresponding …
Internet of drones intrusion detection using deep learning
RA Ramadan, AH Emara, M Al-Sarem, M Elhamahmy - Electronics, 2021 - mdpi.com
Flying Ad Hoc Network (FANET) or drones' technologies have gained much attraction in the
last few years due to their critical applications. Therefore, various studies have been …
last few years due to their critical applications. Therefore, various studies have been …
Privacy and security aspects of E-government in smart cities
E-government is an indispensable part of a Smart City. Information and communication
technologies transform the relationship between citizens, businesses, and government …
technologies transform the relationship between citizens, businesses, and government …
Deep learning based network intrusion detection system for resource-constrained environments
Network intrusion detection systems (IDS) examine network packets and alert system
administrators and investigators to low-level security violations. In large networks, these …
administrators and investigators to low-level security violations. In large networks, these …
Network intrusion detection system: a survey on artificial intelligence‐based techniques
High data rate requirements in recent years have resulted in the massive expansion of
communication systems, network size and the amount of data generated and processed …
communication systems, network size and the amount of data generated and processed …
Robust genetic machine learning ensemble model for intrusion detection in network traffic
MA Akhtar, SMO Qadri, MA Siddiqui, SMN Mustafa… - Scientific Reports, 2023 - nature.com
Network security has developed as a critical research subject as a result of the Rapid
advancements in the development of Internet and communication technologies over the …
advancements in the development of Internet and communication technologies over the …
Intrusion detection systems based on machine learning algorithms
SV Amanoul, AM Abdulazeez… - … on automatic control …, 2021 - ieeexplore.ieee.org
Networks are important today in the world and data security has become a crucial area of
study. An IDS monitors the status of the software and hardware of the network. Curing …
study. An IDS monitors the status of the software and hardware of the network. Curing …