过去一年中添加的文章，按日期排序
A new intrusion detection system based on SVM–GWO algorithms for Internet of Things
H Ghasemi, S Babaie - Wireless Networks, 2024 - Springer
160 天前 - … as remote healthcare, smart environment, and intelligent transportation systems. …
feature selection, and network patterns classification. In this paper, a hybrid intrusion detection …
feature selection, and network patterns classification. In this paper, a hybrid intrusion detection …
[HTML][HTML] Securing cloud-enabled smart cities by detecting intrusion using spark-based stacking ensemble of machine learning algorithms
MR Ghazi, NS Raghava - Electronic Research Archive, 2024 - aimspress.com
161 天前 - … This study's intrusion detection solution for cloud network data from … receive cloud
network data from smart cities. This research utilizes the wrapper-based Feature Selection (FS…
network data from smart cities. This research utilizes the wrapper-based Feature Selection (FS…
[PDF][PDF] MODIFIED FUZZY C MEANS CLUSTERING AND IMPROVED SUPPORT VECTOR MACHINE FOR INTRUSION DETECTION IN VANET
SDE Kalaivani, A Nithya - parkscollege.ac.in
162 天前 - … Once the feature selection is done it send for signature based intrusion detection
using … Intelligent intrusion detection system for VANET using machine learning and deep …
using … Intelligent intrusion detection system for VANET using machine learning and deep …
Intrusion detection system for vehicular ad hoc network attacks based on machine learning techniques
165 天前 - … intelligent connected vehicles. In the related literature, many ML techniques are used
in the classification … In this work, a double feature selection method is implemented before …
in the classification … In this work, a double feature selection method is implemented before …
Enhanced Black Widow Optimization with Hybrid Deep Learning Enabled Intrusion Detection in Internet of Things-based Smart Farming
RY Aburasain - IEEE Access, 2024 - ieeexplore.ieee.org
167 天前 - … and detects significant intrusions, assuring the security and reliability of smart farming.
In … for the feature selection process. For the intrusion detection and classification process, …
In … for the feature selection process. For the intrusion detection and classification process, …
[PDF][PDF] Enhancing Smart Home Security: Machine Learning-Based Abnormal Network Packet Detection and Malware Classification
BN Thanh, DDK Nguyen, TD Le - researchgate.net
170 天前 - … matrix helps validate the feature selection of the best … intrusion detection model
for IoT networks using a convolutions neural network model to create a multi-class classification …
for IoT networks using a convolutions neural network model to create a multi-class classification …
D-ACO/GA-A bio-inspired strategy for feature selection in anomaly traffic detection in smart Internet of Things environments
AHGL Júnior, J Celestino… - … on Information Networking …, 2024 - ieeexplore.ieee.org
176 天前 - … This paper proposes an intrusion detection strategy, D-ACO/GA, for IoT environments.
… classification techniques. Like this, ACO and GA are applied to data subset selection, …
… classification techniques. Like this, ACO and GA are applied to data subset selection, …
Advances in Intelligent Data Analysis and Its Applications
C Zhang, W Li, H Zhang, T Zhan - 2024 - mdpi.com
181 天前 - … Encompassing diverse and profound topics, including intelligent data mining …
learning in intelligent data analysis, models for natural language processing, intelligent granular …
learning in intelligent data analysis, models for natural language processing, intelligent granular …
An effective classification of DDoS attacks in a distributed network by adopting hierarchical machine learning and hyperparameters optimization techniques
183 天前 - … intrusion detection and mitigation strategies in detecting … of a LASSO feature selection
method using hierarchal-… -enabled devices utilized for smart city network traffic. An attack …
method using hierarchal-… -enabled devices utilized for smart city network traffic. An attack …
A Multi-class Classification for Detection of IoT Network Attacks Using Machine Learning Models
G Ashok, K Serath, T Gireesh Kumar - … Computing and Intelligent …, 2024 - Springer
189 天前 - … have been used in a number of studies to classify IoT network threats. Examples …
feature selection and random forest classifier-based intrusion detection system for IoT networks…
feature selection and random forest classifier-based intrusion detection system for IoT networks…