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Sharing News Left and Right: Frictions and Misinformation on Twitter.
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- Economic Journal, 2024, v. 134, n. 662, p. 2391, doi. 10.1093/ej/ueae027
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- Article
SFC‐Based IoT Provisioning on a Hybrid Cloud‐Fog Computing with a Minimized Latency.
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- Journal of Computer Networks & Communications, 2024, v. 2024, p. 1, doi. 10.1155/2024/3384837
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- Article
Software defined networking based network traffic classification using machine learning techniques.
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- Scientific Reports, 2024, v. 14, n. 1, p. 1, doi. 10.1038/s41598-024-70983-6
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- Article
Detecting and Classifying Darknet Traffic Using Deep Network Chains.
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- Computer Systems Science & Engineering, 2023, v. 47, n. 1, p. 891, doi. 10.32604/csse.2023.039374
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- Article
A Novel Approach for Network Vulnerability Analysis in IIoT.
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- Computer Systems Science & Engineering, 2023, v. 45, n. 1, p. 263, doi. 10.32604/csse.2023.029680
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- Article
Improving Throughput of Transmission Control Protocol Using Cross Layer Approach.
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- Computer Systems Science & Engineering, 2022, v. 43, n. 3, p. 1231, doi. 10.32604/csse.2022.020230
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Optimal WiMax backhauling solutions for WiFi traffic.
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- Computer Systems Science & Engineering, 2015, v. 30, n. 2, p. 155
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Design and experiments of new IP traceback method based on offline analysis.
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- Computer Systems Science & Engineering, 2014, v. 29, n. 6, p. 429
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Integration of traffic reduction and sleep scheduling in wireless sensor networks.
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- Computer Systems Science & Engineering, 2012, v. 27, n. 3, p. 195
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Staying the Course.
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- Government Technology, 2014, v. 27, n. 9, p. 46
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Buckle Up.
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- Government Technology, 2014, v. 27, n. 8, p. 8
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- Article
Identification of adaptive video streams based on traffic correlation.
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- Multimedia Tools & Applications, 2019, v. 78, n. 13, p. 18271, doi. 10.1007/s11042-019-7183-6
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The study of new features for video traffic classification.
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- Multimedia Tools & Applications, 2019, v. 78, n. 12, p. 15839, doi. 10.1007/s11042-018-6965-6
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- Article
Cooperative caching for multimedia data in mobile P2P networks.
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- Multimedia Tools & Applications, 2019, v. 78, n. 5, p. 5193, doi. 10.1007/s11042-017-4866-8
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- Article
Effective client-driven three-level rate adaptation (TLRA) approach for adaptive HTTP streaming.
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- Multimedia Tools & Applications, 2018, v. 77, n. 7, p. 8081, doi. 10.1007/s11042-017-4705-y
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- Article
Analysis of YouTube’s traffic adaptation to dynamic environments.
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- Multimedia Tools & Applications, 2018, v. 77, n. 7, p. 7977, doi. 10.1007/s11042-017-4695-9
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Categorization-based video streaming for traffic mitigation in content delivery services.
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- Multimedia Tools & Applications, 2017, v. 76, n. 23, p. 25495, doi. 10.1007/s11042-017-4770-2
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- Article
Reducing channel zapping time in live TV broadcasting over content centric networks.
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- Multimedia Tools & Applications, 2017, v. 76, n. 22, p. 23239, doi. 10.1007/s11042-016-4037-3
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Analysis and modelling of traffic produced by adaptive HTTP-based video.
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- Multimedia Tools & Applications, 2017, v. 76, n. 10, p. 12347, doi. 10.1007/s11042-016-3623-8
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- Article
On the effectiveness of an optimization method for the traffic of TCP-based multiplayer online games.
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- Multimedia Tools & Applications, 2016, v. 75, n. 24, p. 17333, doi. 10.1007/s11042-015-3001-y
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- Article
YouSkyde: information hiding for Skype video traffic.
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- Multimedia Tools & Applications, 2016, v. 75, n. 21, p. 13521, doi. 10.1007/s11042-015-2740-0
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- Article
View pattern-based adaptive streaming strategy for mobile content delivery services.
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- Multimedia Tools & Applications, 2016, v. 75, n. 20, p. 12693, doi. 10.1007/s11042-015-3077-4
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Adaptive delivery of immersive 3D multi-view video over the Internet.
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- Multimedia Tools & Applications, 2016, v. 75, n. 20, p. 12431, doi. 10.1007/s11042-016-3475-2
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The probability relationship between video's instantaneous and average aggregate rates.
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- Multimedia Tools & Applications, 2016, v. 75, n. 12, p. 6909, doi. 10.1007/s11042-015-2617-2
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Mobile computing traffic simulation framework.
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- Multimedia Tools & Applications, 2015, v. 74, n. 16, p. 6169, doi. 10.1007/s11042-014-2099-7
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A virtualized network model for wellness information technology research.
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- Multimedia Tools & Applications, 2015, v. 74, n. 16, p. 6531, doi. 10.1007/s11042-014-2244-3
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PCA in ERP environment using the misuse detection system design and implementation of RBAC permissions.
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- Multimedia Tools & Applications, 2014, v. 73, n. 2, p. 601, doi. 10.1007/s11042-010-0675-z
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- Article
CStream: neighborhood bandwidth aggregation for better video streaming.
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- Multimedia Tools & Applications, 2014, v. 70, n. 1, p. 379, doi. 10.1007/s11042-011-0812-3
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Enhanced MAC protocol to support multimedia traffic in cognitive wireless mesh networks.
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- Multimedia Tools & Applications, 2013, v. 67, n. 1, p. 269, doi. 10.1007/s11042-011-0942-7
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Topic modelling of clickthrough data in image search.
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- Multimedia Tools & Applications, 2013, v. 66, n. 3, p. 493, doi. 10.1007/s11042-012-1038-8
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Partial encryption and watermarking scheme for audio files with controlled degradation of quality.
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- Multimedia Tools & Applications, 2013, v. 64, n. 3, p. 649, doi. 10.1007/s11042-011-0969-9
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- Article
NEAE: NeuroEvolution AutoEncoder for anomaly detection in internet traffic data.
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- Journal of Supercomputing, 2024, v. 80, n. 5, p. 6746, doi. 10.1007/s11227-023-05715-0
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- Article
An efficient centralized DDoS attack detection approach for Software Defined Internet of Things.
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- Journal of Supercomputing, 2023, v. 79, n. 9, p. 10386, doi. 10.1007/s11227-023-05072-y
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Sequential semi-supervised active learning model in extremely low training set (SSSAL).
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- Journal of Supercomputing, 2023, v. 79, n. 6, p. 6646, doi. 10.1007/s11227-022-04847-z
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A reliable concurrent multicast algorithm for content distribution.
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- Journal of Supercomputing, 2022, v. 78, n. 8, p. 10542, doi. 10.1007/s11227-021-04291-5
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Mathematical model for the scheduling of real-time applications in IoT using Dew computing.
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- Journal of Supercomputing, 2022, v. 78, n. 5, p. 7464, doi. 10.1007/s11227-021-04170-z
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- Article
A lightweight model with spatial–temporal correlation for cellular traffic prediction in Internet of Things.
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- Journal of Supercomputing, 2021, v. 77, n. 9, p. 10023, doi. 10.1007/s11227-021-03662-2
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A survey of local differential privacy for securing internet of vehicles.
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- Journal of Supercomputing, 2020, v. 76, n. 11, p. 8391, doi. 10.1007/s11227-019-03104-0
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THS-IDPC: A three-stage hierarchical sampling method based on improved density peaks clustering algorithm for encrypted malicious traffic detection.
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- Journal of Supercomputing, 2020, v. 76, n. 9, p. 7489, doi. 10.1007/s11227-020-03372-1
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Distributed denial of service attacks and its defenses in IoT: a survey.
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- Journal of Supercomputing, 2020, v. 76, n. 7, p. 5320, doi. 10.1007/s11227-019-02945-z
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Unsupervised learning approach for network intrusion detection system using autoencoders.
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- Journal of Supercomputing, 2019, v. 75, n. 9, p. 5597, doi. 10.1007/s11227-019-02805-w
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A highly scalable parallel encoder version of the emergent JEM video encoder.
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- Journal of Supercomputing, 2019, v. 75, n. 3, p. 1429, doi. 10.1007/s11227-018-2655-4
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Analyzing the traffic of penetration testing tools with an IDS.
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- Journal of Supercomputing, 2018, v. 74, n. 12, p. 6454, doi. 10.1007/s11227-016-1920-7
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Identifying critical autonomous systems in the Internet.
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- Journal of Supercomputing, 2018, v. 74, n. 10, p. 4965, doi. 10.1007/s11227-018-2336-3
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A machine learning approach for feature selection traffic classification using security analysis.
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- Journal of Supercomputing, 2018, v. 74, n. 10, p. 4867, doi. 10.1007/s11227-018-2263-3
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- Article
Real-time identification of three Tor pluggable transports using machine learning techniques.
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- Journal of Supercomputing, 2018, v. 74, n. 10, p. 4910, doi. 10.1007/s11227-018-2268-y
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- Article
Performance prediction for supporting mobile applications’ offloading.
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- Journal of Supercomputing, 2018, v. 74, n. 8, p. 4060, doi. 10.1007/s11227-018-2414-6
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Uplink scheduling of MU-MIMO gateway for massive data acquisition in Internet of things.
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- Journal of Supercomputing, 2018, v. 74, n. 8, p. 3549, doi. 10.1007/s11227-016-1716-9
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Atrak: a MapReduce-based data warehouse for big data.
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- Journal of Supercomputing, 2017, v. 73, n. 10, p. 4596, doi. 10.1007/s11227-017-2037-3
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Formulating broadcast reliability equations on multilayer multistage interconnection networks.
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- Journal of Supercomputing, 2015, v. 71, n. 11, p. 4019, doi. 10.1007/s11227-015-1502-0
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- Article