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Distributed Denial-of-Service Prediction on IoT Framework by Learning Techniques
2020
Open Computer Science
Preserved Fulltext
To counter and defend against modern DDoS attacks, several effective and powerful techniques have been used in the literature, such as data mining and artificial intelligence for the intrusion detection ...
gain-based intrusion detection system (IGIDS). ...
To detect the DDoS attack, the researchers introduced many detector schemes such as RBF-NN [27] , adaptive and hybrid neuro-fuzzy systems [17] , distributed state estimation methods based on ADMM [28 ...
doi:10.1515/comp-2020-0009
fatcat:3k2lbviey5g3rebctkl5ctfuvm
Evaluation of Novelty Detection Methods for Condition Monitoring applied to an Electromechanical System
[chapter]
2017
Fault Diagnosis and Detection
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Thus, the challenge is to detect and learn additional scenarios during the operation of the system in order to complement the information obtained by the diagnosis scheme. ...
by means of analyses of different novelty detection strategies over a real industrial system based on rotatory machinery. ...
Also, the authors would like to thank the support and the access to the friction test machine database provided by MAPRO Sistemas de ensayo S.A., especially to Álvaro Istúriz and Alberto Saéz. ...
doi:10.5772/67531
fatcat:ezn34ri2ybbh3andyybdkys6im
On the Usage of Spectral and Broadband Satellite Instrument Measurements to Differentiate Climate Models with Different Cloud Feedback Strengths
2013
Journal of Climate
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Shortwave spectral measurements in visible and near-infrared water vapor overtone lines are best suited to differentiate model results, and a 33% difference in shortwave-cloud feedbacks can be detected ...
The OSSE simulates variations in the spectrally resolved and spectrally integrated signals that are due to a range of plausible feedbacks of the climate system when forced with CO 2 concentrations that ...
The following individuals also provided considerable assistance with this research: David Young, Bruce Wielicki, and Rosemary Baize of the NASA Langley Research Center; Chris Paciorek, Chris Little, and ...
doi:10.1175/jcli-d-12-00378.1
fatcat:e27kxhv7jjbwvodyfjps7spawe
Land Use Effects on Energy and Water Balance-Developing A Regional Land Use Adapted Drought Index
2012
Irrigation & Drainage Systems Engineering
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Climate change is expected to increase the frequency, intensity and duration of droughts in all parts of the United States (US). ...
In this study, the first and second research topics investigated water and energy budgets on the specific and important land use areas (urban, forest, agriculture and lake) in the State of Florida by using ...
Their model was robust and adaptable for different land use areas. ...
doi:10.4172/2168-9768.1000e105
fatcat:bn74auxecbc5zhsixxs5vw4cuy
Event-Driven Deep Learning for Edge Intelligence (EDL-EI)
2021
Sensors
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with multiple sensors in real-world settings and incorporating multi-sensor fusion techniques, a transformation method for sensor streams into images, and lightweight 2-dimensional convolutional neural ...
To demonstrate the feasibility of the EDL-EI framework, we presented an IoT-based prototype system that we developed with multiple sensors and edge devices. ...
CNNs accuracy 94.42% Power System Event Detection 5.2.4. ...
doi:10.3390/s21186023
pmid:34577228
pmcid:PMC8468758
fatcat:l5in7t7nbvcfdnsx7nzn4byrmi
The surface longwave cloud radiative effect derived from space lidar observations
2022
Atmospheric Measurement Techniques
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The global surface LW CRE has been estimated over more than 2 decades using space-based radiometers (2000–2021) and over the 5-year period ending in 2011 using the combination of radar, lidar and space-based ...
Our estimate appears to be an improvement over others as it appropriately captures the annual variability of the surface LW CRE over bright polar surfaces and it provides a dataset more than 13 years long ...
We thank Jean Lac for technical support and Erik Hojgard-Olsen for editing the text. We thank NASA/CNES for the CALIPSO level-1 data and the Mesocentre ESPRI/IPSL for the computational resources. ...
doi:10.5194/amt-15-3893-2022
fatcat:ecrwnjgmcjex7jvx7p5vvcmum4
On-board Deep-learning-based Unmanned Aerial Vehicle Fault Cause Detection and Identification
[article]
2020
arXiv
pre-print
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The cause of crash could be either a fault in the sensor/actuator system, a physical damage/attack, or a cyber attack on the drone's software. ...
With the increase in use of Unmanned Aerial Vehicles (UAVs)/drones, it is important to detect and identify causes of failure in real time for proper recovery from a potential crash-like scenario or post ...
[21] uses Observer/Kalman Identification (OKID) estimator to estimate the system state from measured input-output data. ...
arXiv:2005.00336v2
fatcat:suufee255bgkpi3zioq3ifnyfq
Machine-learning-based methods for output only structural modal identification
[article]
2020
arXiv
pre-print
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The results show the approach's good capability in blindly extracting modal information from system responses. ...
A numerical example of a simple structure and an example of actual SHM data from a cable-stayed bridge are presented to illustrate the modal parameter identification ability of the proposed approach. ...
U1711265, 51678203 and 51638007, 51978216). ...
arXiv:2004.07644v2
fatcat:6ccjrdiylnhzthi7sy47ax4aum
Sensor data quality: a systematic review
2020
Journal of Big Data
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Acknowledgements The article processing charge was funded by the German Research Foundation (DFG) and the University of Freiburg in the funding programme Open Access Publishing. ...
Particle filtering Particle filtering is a state estimation technique given partial and noisy observations in a dynamic system. ...
The method uses Outlier Robust Kalman filter (ORKF) and locally-weighted partial least squares (LW-PLS) for artificial pancreas control systems. ...
doi:10.1186/s40537-020-0285-1
fatcat:cbl346kh35cqvn6nh7njzvrq5e
High-Specificity Digital Architecture for Real-Time Recognition of Loss of Balance Inducing Fall
2020
Sensors
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During the ADL tests the system showed a specificity of 98.91 ± 0.44% in steady walking steps recognition, 99.61 ± 0.66% in sudden curves detection, 98.95 ± 1.27% in contractions related to TUG tests and ...
The proposed system addresses some challenges related to the daily life applicability of near-fall recognition systems: the high specificity and system robustness against the Activities of Daily Life ( ...
(56025 Pontedera, Pisa, Italy), for their valuable contribution and assistance in data collection, for making available equipment for the experimental validation, and for the time/resources spent in the ...
doi:10.3390/s20030769
pmid:32023861
pmcid:PMC7038501
fatcat:vosaff2mzbckhlnfhjn67fxfq4
Toward Realigning Automatic Speaker Verification in the Era of COVID-19
2022
Sensors
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(MFCC), and Gammatone Cepstral Coefficients (GTCC), which are used by both the ensemble learning-based ASV and anomaly detection system in the proposed ASV architecture. ...
Second, this paper proposes an anomaly detection model for identifying vocal samples produced in the presence of face masks. ...
Acknowledgments: The authors extend their appreciation to the Deputyship for Research & Innovation, Ministry of Education in Saudi Arabia, for funding this research work through project number 959. ...
doi:10.3390/s22072638
pmid:35408252
pmcid:PMC9003118
fatcat:kbb74gmr7navnl5ot4jlqalnnm
Forecasting Suspicious Account Activity at Large-Scale Online Service Providers
[article]
2018
arXiv
pre-print
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We hypothesize that this early warning is key for a more timely detection of compromised accounts and consequently faster remediation. ...
In the face of large-scale automated social engineering attacks to large online services, fast detection and remediation of compromised accounts are crucial to limit the spread of new attacks and to mitigate ...
[7] combined statistical modeling and anomaly detection techniques in order to detect compromised accounts on Online Social Networks (OSNs). ...
arXiv:1801.08629v1
fatcat:fechmqrzwvhxffqq3v2ydnu2ge
CAN Radar: Sensing Physical Devices in CAN Networks based on Time Domain Reflectometry
[article]
2019
arXiv
pre-print
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In order to detect potential attackers within a network or software system as early as possible, Intrusion Detection Systems (IDSs) are prevalent. ...
However, it is challenging to detect attackers who secretly connect to CAN networks and do not actively participate in bus traffic. ...
ACKNOWLEDGEMENTS This work has been developed in the project AUTO-SIMA (reference number: 13FH006IX6) which is partly funded by the German ministry of education and research (BMBF) within the research ...
arXiv:1910.02847v1
fatcat:jfdfmnykorhdpexvf6yreq5rwy
Offshore wind turbine fault alarm prediction
2019
Wind Energy
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Thus, it is important to have robust planning, maintenance, and monitoring strategies, which can detect faults in advance to critical failures and notify the maintenance managers. ...
have a more efficient spare part management system. ...
Five years of operational data have been used in order to create a robust model. ...
doi:10.1002/we.2402
fatcat:4ekcg4j3u5btdogq6ykksxlwwm
NASA's Solar Dynamics Observatory (SDO): A systems approach to a complex mission
2012
2012 IEEE Aerospace Conference
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The strict instrument science requirements imposed a number of challenging drivers on the overall mission system design, leading the SDO team to adopt an integrated systems engineering presence across ...
, massive science data volume, stringent science data completeness requirements, and a custom ground station to meet mission demands. ...
[2] This pivotal role of the systems team in anomaly investigation and resolution was a key factor in assessing the system level impact of anomalies as they arose and resolving them in a timely and ...
doi:10.1109/aero.2012.6187017
fatcat:qt74xjpmhvdwfpxz2owwhgv2ui
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