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 …
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 …
cities, electronic commerce, electronic learning, electronic health, and other aspects of …
Image-based malware classification using VGG19 network and spatial convolutional attention
In recent years the amount of malware spreading through the internet and infecting
computers and other communication devices has tremendously increased. To date …
computers and other communication devices has tremendously increased. To date …
A modified grey wolf optimization algorithm for an intrusion detection system
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 …
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)
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 …
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
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 …
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 …
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 …
Intrusion Detection Systems (IDS) to assure security. IDSs are protective systems that detect …
Hybrid optimization enabled robust CNN-LSTM technique for network intrusion detection
Nowadays, computer networks and the Internet are unprotected from many security threats.
Introducing adaptive and flexible security-related techniques is challenging because of the …
Introducing adaptive and flexible security-related techniques is challenging because of the …
A deep learning-based intrusion detection technique for a secured IoMT system
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 …
Internet of Medical Things (IoMT) system for detecting life-threatening ill-ness globally. The …