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Distributed Denial-of-Service Prediction on IoT Framework by Learning Techniques

Shubhra Dwivedi, Manu Vardhan, Sarsij Tripathi
2020 Open Computer Science  
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]

Miguel Delgado Prieto, Jesús A. Cariño Corrales, Daniel Zurita Millán, Marta Millán Gonzalvez, Juan A. Ortega Redondo, René de J. Romero Troncoso
2017 Fault Diagnosis and Detection  
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

Daniel R. Feldman, Daniel M. Coleman, William D. Collins
2013 Journal of Climate  
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

Chi Han Cheng
2012 Irrigation & Drainage Systems Engineering  
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)

Sayed Khushal Shah, Zeenat Tariq, Jeehwan Lee, Yugyung Lee
2021 Sensors  
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

Assia Arouf, Hélène Chepfer, Thibault Vaillant de Guélis, Marjolaine Chiriaco, Matthew D. Shupe, Rodrigo Guzman, Artem Feofilov, Patrick Raberanto, Tristan S. L'Ecuyer, Seiji Kato, Michael R. Gallagher
2022 Atmospheric Measurement Techniques  
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]

Vidyasagar Sadhu, Saman Zonouz, Dario Pompili
2020 arXiv   pre-print
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]

Dawei Liu, Zhiyi Tang, Yuequan Bao, Hui Li
2020 arXiv   pre-print
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

Hui Yie Teh, Andreas W. Kempa-Liehr, Kevin I-Kai Wang
2020 Journal of Big Data  
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

De Venuto, Mezzina
2020 Sensors  
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

Awais Khan, Ali Javed, Khalid Mahmood Malik, Muhammad Anas Raza, James Ryan, Abdul Khader Jilani Saudagar, Hafiz Malik
2022 Sensors  
(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]

Hassan Halawa, Matei Ripeanu, Konstantin Beznosov, Baris Coskun, Meizhu Liu
2018 arXiv   pre-print
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]

Marcel Rumez, Jürgen Dürrwang, Tim Brecht, Timo Steinshorn, Peter Neugebauer, Reiner Kriesten, Eric Sax
2019 arXiv   pre-print
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

Alexios Koltsidopoulos Papatzimos, Philipp R. Thies, Tariq Dawood
2019 Wind Energy  
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

J. A. Ruffa, Michael Bay, David K. Ward, P. J. Gonzales, L. M. Bartusek, W. D. Pesnell
2012 2012 IEEE Aerospace Conference  
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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