Results 211 to 220 of about 6,793,000 (262)

Dual chaotic encryption method for wireless communication privacy data based on deep learning. [PDF]

PLoS One
Yu H.
europepmc   +1 more source

Intrusion Detection Datasets for IIoT and ICS: A Taxonomic Review with a Decision-Aid Scoring Rubric. [PDF]

Sensors (Basel)
Termanini A, Bourdoucen H, Al-Abri D, Al Maashri A.   +3 more
europepmc   +1 more source

Enhancing SDN security with deep learning and F-balanced cross-entropy for DDoS detection. [PDF]

Sci Rep
Naeen HM, Ghadamyari M, Barmar M.
europepmc   +1 more source

Securing Data in Vehicles: Privacy-Preserving Frameworks for Dynamic CAV Environments. [PDF]

Sensors (Basel)
Hammedi R, Brown DJ, Kaiwartya O, Gaur P.   +3 more
europepmc   +1 more source

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On the Analysis of Communication and Computer Networks by Traffic Flow Measurements

2006 IEEE Instrumentation and Measurement Technology Conference Proceedings, 2006
This paper investigates the potential contributions of traffic flow measurements in monitoring and network diagnostics. The basic idea is that information of diagnostic relevance may be obtained from the detection of local anomalies in a traffic trace.
BENETAZZO, LUIGINO, GIORGI, GIADA, NARDUZZI, CLAUDIO   +2 more
openaire   +5 more sources

Simulating network traffic flows with a massively parallel computing architecture

Proceedings of the 25th conference on Winter simulation - WSC '93, 1993
This paper presents a traffic network simulation model for real-time applications in IVHS. The proposed model has incorporated three key features essential for IVHS operations: (1) the capability of simulating both freeways and surface street networks as an integrated network; (2) a path-processing capability for representing drivers' route choice ...
null Gang-Len Chang, T. Junchaya
openaire   +1 more source

On distributed computation of optimal control of traffic flow over networks

2016 54th Annual Allerton Conference on Communication, Control, and Computing (Allerton), 2016
In this paper, we adapt the Alternating Direction Method of Multipliers (ADMM) to develop a distributed algorithm for computing finite horizon optimal control for traffic flow over networks, where the cost is in terms of the density and flow vectors. The dynamics is described by the Cell Transmission Model.
Qin Ba, Ketan Savla
openaire   +2 more sources

Cooperative multi-agent actor–critic control of traffic network flow based on edge computing

Future Generation Computer Systems, 2021
Abstract Most of the existing traffic signal control strategies are hard to satisfy the real-time requirements of traffic big data analysis, knowledge reasoning and decision making for sophisticated traffic dynamics and heterogeneous intersection structures in the context of Internet of Vehicles (IoV).
Yongnan Zhang, Yonghua Zhou, Huapu Lu, Hamido Fujita   +3 more
openaire   +2 more sources