Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
Anomaly and intrusion detection using deep learning for software-defined networks: A survey
Abstract Software-Defined Networks (SDN) represent an adaptable paradigm for dealing
with network users' dynamic demands. Confidentiality, integrity, and availability are …
with network users' dynamic demands. Confidentiality, integrity, and availability are …
[HTML][HTML] DIDS: A Deep Neural Network based real-time Intrusion detection system for IoT
The number of people using the Internet of Things (IoT) devices has exploded in recent
years. The instantaneous development in deploying constrained devices in numerous areas …
years. The instantaneous development in deploying constrained devices in numerous areas …
[HTML][HTML] Res-TranBiLSTM: An intelligent approach for intrusion detection in the Internet of Things
S Wang, W Xu, Y Liu - Computer Networks, 2023 - Elsevier
Abstract The Internet of Things (IoT), as the information carrier of the Internet and
telecommunications networks, is a new network technology comprising physical entities …
telecommunications networks, is a new network technology comprising physical entities …
An SDN perspective IoT-Fog security: A survey
The utilization of the Internet of Things (IoT) has burst in recent years. Fog computing is a
notion that solves cloud computing's limitations by offering low latency to IoT network user …
notion that solves cloud computing's limitations by offering low latency to IoT network user …
Efficient intrusion detection toward IoT networks using cloud–edge collaboration
Abstract The Internet of Things (IoT) is increasingly utilized in daily life and industrial
production, particularly in critical infrastructures. IoT cybersecurity has an effect on people's …
production, particularly in critical infrastructures. IoT cybersecurity has an effect on people's …
Overcoming the challenges of data lack, leakage, and dimensionality in intrusion detection systems: a comprehensive review
Abstract The Internet of Things (IoT) and cloud computing are rapidly gaining momentum as
decentralized internet-based technologies and have led to an increase in information in …
decentralized internet-based technologies and have led to an increase in information in …
Lightweight, trust-managing, and privacy-preserving collaborative intrusion detection for internet of things
This research introduces a comprehensive collaborative intrusion detection system (CIDS)
framework aimed at bolstering the security of Internet of Things (IoT) environments by …
framework aimed at bolstering the security of Internet of Things (IoT) environments by …
[HTML][HTML] Enhanced threat intelligence framework for advanced cybersecurity resilience
The increasing severity of cyber-attacks against organizations emphasizes the necessity for
efficient threat intelligence. This article presents a novel multi-layered architecture for threat …
efficient threat intelligence. This article presents a novel multi-layered architecture for threat …
Intelligent intrusion detection framework for multi-clouds–IoT environment using swarm-based deep learning classifier
SMT Nizamudeen - Journal of Cloud Computing, 2023 - Springer
In the current era, a tremendous volume of data has been generated by using web
technologies. The association between different devices and services have also been …
technologies. The association between different devices and services have also been …
Seagull optimization-based feature selection with optimal extreme learning machine for intrusion detection in fog assisted WSN
T Muthu, VK Kalimuthu - Tehnički vjesnik, 2023 - hrcak.srce.hr
Sažetak On the internet, various devices that are connected to the Internet of Things (IoT)
and Wireless Sensor Networks (WSNs) share the resources that they have in accordance …
and Wireless Sensor Networks (WSNs) share the resources that they have in accordance …