Detection of fractional difference in inter vertebral disk MRI images for recognition of low back pain
Abstract Low Back Pain (LBP) diagnosis through MR images of IVDs is a challenging task
due to complex spinal anatomy and varying image quality. These factors make it difficult to …
due to complex spinal anatomy and varying image quality. These factors make it difficult to …
Generative adversarial networks to detect intrusion and anomaly in IP flow-based networks
Computer networks facilitate regular human tasks, providing services like data streaming,
online shop**, and digital communications. These applications require more and more …
online shop**, and digital communications. These applications require more and more …
Automated detection of microfilariae parasite in blood smear using OCR-NURBS image segmentation
P Kumar, KS Babulal - Multimedia Tools and Applications, 2024 - Springer
Lymphatic Filariasis (LF) is a vector-borne ailment that creates disfiguring and disabling in
the forbearer. This gruesome disease is generally acquired at the childhood stage through …
the forbearer. This gruesome disease is generally acquired at the childhood stage through …
An explainable nature-inspired cyber attack detection system in Software-Defined IoT applications
The integration of the Internet of Things with Software-Defined Networking offers a flexible
approach to managing Software-Defined Internet of Things (SD-IoT) applications. However …
approach to managing Software-Defined Internet of Things (SD-IoT) applications. However …
Cyberattack defense mechanism using deep learning techniques in software-defined networks
DS Rao, AJ Emerson - International Journal of Information Security, 2024 - Springer
Software-defined networking (SDN) is a network architecture. It is becoming more popular
due to its centralized network administration, adaptability, and speed. However, the …
due to its centralized network administration, adaptability, and speed. However, the …
[PDF][PDF] Detection of DDoS attacks in SDN with Siberian Tiger Optimization algorithm and deep learning
NHS Al-Sarray, J Rahebi, A Demirhan - 2024 - scholar.archive.org
Abstract The Software-defined Networking (SDN) system plays a crucial role in efficiently
overseeing the Internet network by segregating the control and data planes. In the SDN, the …
overseeing the Internet network by segregating the control and data planes. In the SDN, the …
[PDF][PDF] Intrusion detection in software-defined networks: leveraging deep reinforcement learning with graph convolutional networks for resilient infrastructure
Abstract Protecting Software-Defined Networking (SDN) environments from intrusions and
unauthorized access requires a high level of security. Security issues have arisen because …
unauthorized access requires a high level of security. Security issues have arisen because …
Real-Time Anomaly Detection Framework to Mitigate Emerging Threats in Software Defined Networks
Abstract The Software Defined Networking (SDN) framework offers a practical and
programmer-friendly approach to computer network design, addressing numerous issues …
programmer-friendly approach to computer network design, addressing numerous issues …
Securing IoT networks in cloud computing environments: a real-time IDS
S Biswas, MSA Ansari - The Journal of Supercomputing, 2024 - Springer
Abstract The term “Internet of Things”(IoT) encompasses an entire group of gadgets that are
capable of connecting to the Internet in order to gather and share data. The IoT paradigm is …
capable of connecting to the Internet in order to gather and share data. The IoT paradigm is …
Multi-class intrusion detection system in SDN based on hybrid BiLSTM model
M Cui, J Chen, X Qiu, W Lv, H Qin, X Zhang - Cluster Computing, 2024 - Springer
Software-defined networking (SDN) is a new network paradigm, which is highly decoupled
compared to traditional networks, and makes it easier to operate by separating the data and …
compared to traditional networks, and makes it easier to operate by separating the data and …