[HTML][HTML] Computational intelligence and soft computing paradigm for cheating detection in online examinations
Covid-19 has been a life-changer in the sphere of online education. With complete
lockdown in various countries, there has been a tumultuous increase in the need for …
lockdown in various countries, there has been a tumultuous increase in the need for …
A novel V2V-based temporary warning network for safety message dissemination in urban environments
Vehicular communication networks (VCNs) have been widely recognized as promising
solutions to support safety-related applications in urban transportation systems. However …
solutions to support safety-related applications in urban transportation systems. However …
A Multi-perspective Feature Approach to Few-shot Classification of IoT Traffic
The realization of Internet of Things (IoT) traffic classification is crucial to the management
and monitoring of the IoT network. Performing IoT traffic classification under a few-shot …
and monitoring of the IoT network. Performing IoT traffic classification under a few-shot …
Spatial-Temporal Graph Model Based on Attention Mechanism for Anomalous IoT Intrusion Detection
X Wang, X Wang, M He, M Zhang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
We propose an attention-weighted model for parallel extraction of spatial-temporal features
to enhance the detection capabilities in the message queuing telemetry transport protocol …
to enhance the detection capabilities in the message queuing telemetry transport protocol …
Online classification of network traffic based on granular computing
At Presently, it is still a great challenge to achieve online classification of traffic flows due to
the highly varying network environments, eg, unpredictable new traffic classes, network …
the highly varying network environments, eg, unpredictable new traffic classes, network …
A two-phase approach to fast and accurate classification of encrypted traffic
Encryption technology has been widely used in today's network communications. The early
classification of encrypted flows is of great value to the control, allocation and management …
classification of encrypted flows is of great value to the control, allocation and management …
An accurate & efficient approach for traffic classification inside programmable data plane
In-network traffic classification is a class of in-network computing that brings significant
benefits to the network, ie, the first line of defence, classification at line rate and fast reaction …
benefits to the network, ie, the first line of defence, classification at line rate and fast reaction …
Fast online classification of network traffic using new feature-embedded hierarchical structure
Y Quan, Y Dong, Y Xiang, S Chen, Z Wang, J Jin - Computer Networks, 2023 - Elsevier
The fast online classification (FOC) of network traffic plays a critical role in the network
resource management and quality of service support. However, traditional network flow …
resource management and quality of service support. However, traditional network flow …
[HTML][HTML] CoTNeT: Contextual transformer network for encrypted traffic classification
H Huang, Y Lu, S Zhou, X Zhang, Z Li - Egyptian Informatics Journal, 2024 - Elsevier
As network infrastructures continue to grow and traffic encryption technologies evolve at a
rapid pace, the task of classifying encrypted traffic has become significantly more intricate …
rapid pace, the task of classifying encrypted traffic has become significantly more intricate …
[HTML][HTML] Granular classifier: Building traffic granules for encrypted traffic classification based on granular computing
Accurate classification of encrypted traffic plays an important role in network management.
However, current methods confronts several problems: inability to characterize traffic that …
However, current methods confronts several problems: inability to characterize traffic that …