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139 results for “iot”
TGenAI: LLM-based Approach for Functional Test Case Generation for IoT System
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ASSIST-IoT logo
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Data of Building information modelling (BIM), Historic BIM (HBIM), Digital Twins and IoT
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Enabling Design of Secure IoT Systems with Trade-Off-Aware Architectural Tactics
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Indices of Tolerance (IOT): Cross-platform biomarkers that identify kidney transplant tolerance
GEO Series GSE14655. Homo sapiens. 237 samples. Type: Expression profiling by array.
IoT-deNAT: Outbound flow-based network traffic data of IoT and non-IoT devices behind a home NAT
<p>This dataset is comprised of NetFlow records, which capture the outbound network traffic of 8 commercial IoT devices and 5 non-IoT devices, collected during a period of 37 days in a lab at Ben-Gurion University of The Negev. The dataset was collected in order to develop a method for telecommunication providers to detect vulnerable IoT models behind home NATs. Each NetFlow record is labeled with the device model which produced it; for research reproducibilty, each NetFlow is also allocated to either the "training" or "test" set, in accordance with the partitioning described in:</p> <p>Y. Meidan, V. Sachidananda, H. Peng, R. Sagron, Y. Elovici, and A. Shabtai, A novel approach for detecting vulnerable IoT devices connected behind a home NAT, Computers & Security, Volume 97, 2020, 101968, ISSN 0167-4048, https://doi.org/10.1016/j.cose.2020.101968. (http://www.sciencedirect.com/science/article/pii/S0167404820302418)</p> <p> </p> <p>Please note:</p> <ul> <li>The dataset itself is free to use, however users are requested to cite the above-mentioned paper, which describes in detail the research objectives as well as the data collection, preparation and analysis.</li> <li>Following is a brief description of the features used in this dataset.</li> </ul> <p> </p> <p># NetFlow features, used in the related paper for analysis</p> <p>'FIRST_SWITCHED': System uptime at which the first packet of this flow was switched<br> 'IN_BYTES': Incoming counter for the number of bytes associated with an IP Flow<br> 'IN_PKTS': Incoming counter for the number of packets associated with an IP Flow<br> 'IPV4_DST_ADDR': IPv4 destination address<br> 'L4_DST_PORT': TCP/UDP destination port number<br> 'L4_SRC_PORT': TCP/UDP source port number<br> 'LAST_SWITCHED': System uptime at which the last packet of this flow was switched<br> 'PROTOCOL': IP protocol byte (6: TCP, 17: UDP)<br> 'SRC_TOS': Type of Service byte setting when there is an incoming interface<br> 'TCP_FLAGS': Cumulative of all the TCP flags seen for this flow</p> <p> </p> <p># Features added by the authors</p> <p>'IP': Prefix of the destination IP address, representing the network (without the host)<br> 'DURATION': Time (seconds) between first/last packet switching</p> <p> </p> <p># Label<br> 'device_model': <type>.<manufacturer>.<model number></p> <p> </p> <p># Partition<br> 'partition': Training or test</p> <p> </p> <p># Additional NetFlow features (mostly zero-variance)<br> 'SRC_AS': Source BGP autonomous system number<br> 'DST_AS': Destination BGP autonomous system number<br> 'INPUT_SNMP': Input interface index<br> 'OUTPUT_SNMP': Output interface index<br> 'IPV4_SRC_ADDR': IPv4 source address<br> 'MAC': MAC address of the source</p> <p> </p> <p># Additional data<br> 'category': IoT or non-IoT<br> 'type': IoT, access_point, smartphone, laptop<br> 'date': Datepart of FIRST_SWITCHED<br> 'inter_arrival_time': Time (seconds) between successive flows of the same device (identified by its MAC address)</p>
Development of an IoT based smart potato leaf diseases monitoring and controlling system with image processing
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Towards Secure Management of Edge-Cloud IoT Microservices using Policy as Code
<p>This repository contains high quality images of all the Figures included in the paper "<span>Towards Secure Management of Edge-Cloud IoT </span><span>Microservices using Policy as Code".</span></p>
Database for manuscript IoToF: A Long-Reach Fully Passive Low Rate Upstream PHY for IoT over Fiber
<p>The attached file contains all the experimental results related with the manuscript entitled "IoToF: A Long-Reach Fully Passive Low Rate Upstream PHY for IoT over Fiber" submitted in Electronics MDPI. In addition are included .m files to analyze the database.</p>
Clinical Study on Improving Exercise Capacity in Chronic Obstructive Pulmonary Disease Through Smart IoT-Remote Home Breathing Guidance
ClinicalTrials.gov study NCT06963333. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Edge Computing Platform for Spine Health Risk Management Based on IoT Technology
ClinicalTrials.gov study NCT06092138. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Patient Transfer Monitoring System in Hospital Using Mobile IoT Technology
ClinicalTrials.gov study NCT03574272. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
Responses to AHP-style questionnaires regarding the publication "D-Score: An Expert-Based Method for Assessing the Detectability of IoT-Related Cyber-Attacks"
<p>In order to assess in advance the detectability of IoT-related cyber-attacks by anomaly-based network intrusion detection systems, we developed an expert-based method which relies on the AHP methodology.</p> <p>The online AHP-style questionnaire can be found here: https://bguprivacysurvey.limequery.com/537457</p> <p>The dataset which is hereby made public, includes the (anonymous) responses of 40 cyber-security researchers and practitioners, covering 4 IoT attack scenarios.</p> <p>The related publication is mentioned hereinafter; please be sure to cite it upon the use of this dataset.</p>
LoRaWAN for city scale IoT deployments
<p>Data set to accompany paper,</p>
CSV data from GPS livestock collars / Datos CSV de coordenadas GPS de dispositivos IoT sobre animales
<p>Datos recopilados de los dispositivos GPS instalados en vacas en un usuario del proyecto AIREGAN financiado por Red.es Gobierno de España</p><p>Data collected from GPS devices installed on cows in a user of the AIREGAN project, funded by Red.es (Spanish Government)</p>
Personalized IoT-based Physical Activity Monitoring System for Heart Failure Patients
ClinicalTrials.gov study NCT07171372. IPD Sharing: NO. Countries: 0. Publications: 0.
Replication package of paper 'Study of IoT System Architectural Styles and their Quality Requirements'
<p>Dataset of studied papers.</p> <p>It contains an Excel sheet that includes papers selected in each step of our selection process, along with the extracted data in each tab.</p>
SNIAPE: Sensor Network and IoT Application Performance Evaluation Benchmark
<p>This repository is currently anonymised for submission. It contains the code, data, questionnaire and the full report version of SNIAPE, which is a sensor network and IoT application performance evaluation benchmark</p>
A contribution to real-time space weather monitoring based on scintillation observations and IoT
<p>Here, all field measurements acquired for the article entitled: ''A contribution to real-time space weather monitoring based on scintillation observations and IoT'', by Santos Freitas et al (2022) in Advances in Space Research are made available. The Scintapp is also available for download. Details on the data format can be found in section 2 of the aforementioned article.</p>
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.