On the validation dataset, their method achieves up to 92.7% accuracy while up to 90.1% accuracy was obtained on the testing dataset. As result, they suggest that the proposed approach able to classify the users’ behavior in Social Network-Integrated Industrial Internet of Things (SN-IIoT). ...
He has outstanding experience in the fields of big data & pattern recognition, cloud computing, IoT, and analytical tools to apply them in sectors where he has worked for as Banking & Insurance, Retail, Oil&Gas, Agriculture, Cybersecurity, Biotechnology, and Dactyloscopy. From these applied ...
Blynk-Cloud Control IoT Devices from Blynk IoT Cloud apiKey No Unknown Bored Find random activities to fight boredom No Yes Unknown Brainshop.ai Make A Free A.I Brain apiKey Yes Yes Browshot Easily make screenshots of web pages in any screen size, as any device apiKey Yes Yes CDNJS Libr...
driverless cars, advertising technologies, IoT solutions and Maps, to name a few. Its parent company, Alphabet Inc. was founded on 2ndOctober, 2015, as a result of major
Implement a sparse autoencoder on the bot-iot dataset for dimensionality reduction followed by computation of reconstruction error, F1 score, recall, accuracy, weights, and threshold amongst other metrics - wadidf/bot-iot-auto-encoder
The Bot-IoT dataset can be accessed at Bot-iot (2018) [1]. Introduction The rapid development of the Internet has been responsible for the emergence of the Internet of Things (IoT), with such prominent examples as smart homes and cities, healthcare systems, and cyber–physical systems. The...
Making a Real-Time IoT Network Intrusion-Detection System (INIDS) Using a Realistic BoT–IoT Dataset with Multiple Machine-Learning ClassifiersCyber-attacks have become a significant concern today, particularly in IoT environments where security poses a substantial challenge due to the distributed nature...
Making a Real-Time IoT Network Intrusion-Detection System (INIDS) Using a Realistic BoT–IoT Dataset with Multiple Machine-Learning Classifiersdoi:10.3390/app15042043Cyber-attacks have become a significant concern today, particularly in IoT environments where security poses a substantial challenge due to...
Making a Real-Time IoT Network Intrusion-Detection System (INIDS) Using a Realistic BoT–IoT Dataset with Multiple Machine-Learning Classifiersdoi:10.3390/app15042043Cyber-attacks have become a significant concern today, particularly in IoT environments where security poses a substantial challenge due to...