Anomaly network traffic detection algorithm based on information entropy measurement under the cloud computing environment
Sign Up to like & getrecommendations! Published in 2018 at "Cluster Computing"
DOI: 10.1007/s10586-018-1755-5
Abstract: In recent years, there are more and more abnormal activities in the network, which greatly threaten network security. Hence, it is of great importance to collect the data which indicate the running statement of the… read more here.
Keywords: anomaly network; number; network; network traffic ... See more keywords
Dissecting GeoSparkSim: a scalable microscopic road network traffic simulator in Apache Spark
Sign Up to like & getrecommendations! Published in 2020 at "Distributed and Parallel Databases"
DOI: 10.1007/s10619-020-07306-x
Abstract: Researchers and practitioners have widely studied road network traffic data in different areas such as urban planning, traffic prediction and spatial-temporal databases. For instance, researchers use such data to evaluate the impact of road network… read more here.
Keywords: traffic; road network; road; microscopic ... See more keywords
A novel network flow prediction method based on UWB in power communication networks
Sign Up to like & getrecommendations! Published in 2021 at "Wireless Networks"
DOI: 10.1007/s11276-021-02755-3
Abstract: With the rapid development of smart grids, the power communication network is playing an increasingly important role in the management and maintenance of power grids. To ensure the high reliability and high bandwidth of the… read more here.
Keywords: network; power; communication network; power communication ... See more keywords
Backbone Network Traffic Prediction Based on Modified EEMD and Quantum Neural Network
Sign Up to like & getrecommendations! Published in 2018 at "Wireless Personal Communications"
DOI: 10.1007/s11277-018-5292-6
Abstract: Aiming at the long-range dependence and short-range dependence characteristics of backbone network traffic, a traffic forecasting model based on Modified Ensemble Empirical Mode Decomposition (MEEMD) and Quantum Neural Network (QNN) is presented. Firstly, the MEEMD… read more here.
Keywords: traffic; network; quantum neural; prediction ... See more keywords
A deep learning method based on an attention mechanism for wireless network traffic prediction
Sign Up to like & getrecommendations! Published in 2020 at "Ad Hoc Networks"
DOI: 10.1016/j.adhoc.2020.102258
Abstract: Abstract With the rapid development of wireless networks, the self-management and active adjustment capabilities of base stations have become crucial. The accurate prediction of wireless network traffic is an important prerequisite for intelligent base stations.… read more here.
Keywords: traffic; network; attention mechanism; wireless network ... See more keywords
Citywide road-network traffic monitoring using large-scale mobile signaling data
Sign Up to like & getrecommendations! Published in 2021 at "Neurocomputing"
DOI: 10.1016/j.neucom.2020.07.150
Abstract: Abstract Road-network traffic monitoring on city-scale is critical for a wide range of applications, such as traffic forecasting, congestion identification, traffic safety, and urban planning, etc. Despite the fruitful research outcomes, however, most traffic monitoring… read more here.
Keywords: traffic monitoring; road network; mobile signaling; network traffic ... See more keywords
Interactive Temporal Recurrent Convolution Network for Traffic Prediction in Data Centers
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Access"
DOI: 10.1109/access.2017.2787696
Abstract: Accurately predicting future service traffic would be of great help for load balancing and resource allocation, which plays a key role in guaranteeing the quality of service (QoS) in cloud computing. With the rapid development… read more here.
Keywords: traffic; network; traffic prediction; recurrent ... See more keywords
A Flexible Sketch-Based Network Traffic Monitoring Infrastructure
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2927863
Abstract: Sketch-based data streaming algorithms are used in many network traffic monitoring applications to obtain accurate estimates of traffic flow statistics. However, the current implementation of sketch-based methods in network monitoring is too application-specific. Their flexibility… read more here.
Keywords: traffic monitoring; sketch; sketch based; network traffic ... See more keywords
PCCN: Parallel Cross Convolutional Neural Network for Abnormal Network Traffic Flows Detection in Multi-Class Imbalanced Network Traffic Flows
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2933165
Abstract: Network attack behavior detection using deep learning is an important research topic in the field of network security. Currently, there are still many challenges in detecting multi-class imbalanced abnormal traffic data. This paper proposed a… read more here.
Keywords: traffic flows; network traffic; pccn; network ... See more keywords
Using Cache Optimization Method to Reduce Network Traffic in Communication Systems Based on Cloud Computing
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2938044
Abstract: The overwhelming increase of population will lead to an increase network traffic usage. In most products, local cache mechanism is implemented for the purpose of reducing the network traffics. However, Due to storage space limitations,… read more here.
Keywords: traffic usage; cache; reduce network; network traffic ... See more keywords
A Gated Dilated Causal Convolution Based Encoder-Decoder for Network Traffic Forecasting
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2019.2963449
Abstract: The accurate estimation of future network traffic is a key enabler for early warning of network degradation and automated orchestration of network resources. The long short-term memory neural network (LSTM) is a popular architecture for… read more here.
Keywords: dilated causal; traffic forecasting; gated dilated; network traffic ... See more keywords