Network intrusion detection model based on CNN and GRU

B Cao, C Li, Y Song, Y Qin, C Chen - Applied Sciences, 2022 - mdpi.com
A network intrusion detection model that fuses a convolutional neural network and a gated
recurrent unit is proposed to address the problems associated with the low accuracy of …

Intrusion detection approach for cloud and IoT environments using deep learning and Capuchin Search Algorithm

M Abd Elaziz, MAA Al-qaness, A Dahou… - … in Engineering Software, 2023 - Elsevier
Abstract The Internet of Things (IoT) enabled technology will be adopted to develop smart
cities, electronic commerce, electronic learning, electronic health, and other aspects of …

Image-based malware classification using VGG19 network and spatial convolutional attention

MJ Awan, OA Masood, MA Mohammed, A Yasin… - Electronics, 2021 - mdpi.com
In recent years the amount of malware spreading through the internet and infecting
computers and other communication devices has tremendously increased. To date …

A modified grey wolf optimization algorithm for an intrusion detection system

A Alzaqebah, I Aljarah, O Al-Kadi, R Damaševičius - Mathematics, 2022 - mdpi.com
Cyber-attacks and unauthorized application usage have increased due to the extensive use
of Internet services and applications over computer networks, posing a threat to the service's …

Threat analysis and distributed denial of service (DDoS) attack recognition in the internet of things (IoT)

MH Ali, MM Jaber, SK Abd, A Rehman, MJ Awan… - Electronics, 2022 - mdpi.com
The Internet of Things (IoT) plays a crucial role in various sectors such as automobiles and
the logistic tracking medical field because it consists of distributed nodes, servers, and …

Detection of real-time malicious intrusions and attacks in IoT empowered cybersecurity infrastructures

IA Kandhro, SM Alanazi, F Ali, A Kehar, K Fatima… - IEEE …, 2023 - ieeexplore.ieee.org
Computer viruses, malicious, and other hostile attacks can affect a computer network.
Intrusion detection is a key component of network security as an active defence technology …

Artificial intelligence algorithms for malware detection in android-operated mobile devices

H Alkahtani, THH Aldhyani - Sensors, 2022 - mdpi.com
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 …

A novel network intrusion detection method based on metaheuristic optimisation algorithms

R Ghanbarzadeh, A Hosseinalipour… - Journal of ambient …, 2023 - Springer
The growing use of the Internet with its vulnerabilities has necessitated the adoption of
Intrusion Detection Systems (IDS) to assure security. IDSs are protective systems that detect …

Hybrid optimization enabled robust CNN-LSTM technique for network intrusion detection

B Deore, S Bhosale - Ieee Access, 2022 - ieeexplore.ieee.org
Nowadays, computer networks and the Internet are unprotected from many security threats.
Introducing adaptive and flexible security-related techniques is challenging because of the …

A deep learning-based intrusion detection technique for a secured IoMT system

JB Awotunde, KM Abiodun, EA Adeniyi… - … on Informatics and …, 2021 - Springer
The emergence of medical sensors in smart healthcare has brought about an intelligent
Internet of Medical Things (IoMT) system for detecting life-threatening ill-ness globally. The …