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ORCID6th IoTBDS 2021
- Gary B. Wills, Péter Kacsuk, Victor Chang:
Proceedings of the 6th International Conference on Internet of Things, Big Data and Security, IoTBDS 2021, Online Streaming, April 23-25, 2021. SCITEPRESS 2021, ISBN 978-989-758-504-3
Invited Speakers
- Yaochu Jin:
Multi-objective Evolutionary Federated Learning. IoTBDS 2021: 5 - Ling Liu:
Secure Object Detection on the Edge. IoTBDS 2021: 7 - Witold Pedrycz:
Interpretability and Explainability Facets of Data Analytics: Symbols and Information Granules. IoTBDS 2021: 9-10 - Ajith Abraham:
Industry 4.0 and Society 5.0: Challenges from a Data Analysis Perspective. IoTBDS 2021: 11
Papers
- Egberto A. R. de Oliveira
, Flávia Coimbra Delicato, Atslands Rego da Rocha, Marta Mattoso:
A Real-time and Energy-aware Framework for Data Stream Processing in the Internet of Things. 17-28 - Anantha Rao Chukka, V. Susheela Devi:
Detection of Malicious Binaries by Applying Machine Learning Models on Static and Dynamic Artefacts. 29-37 - Masataka Nakahara, Norihiro Okui, Yasuaki Kobayashi, Yutaka Miyake:
Malware Detection for IoT Devices using Automatically Generated White List and Isolation Forest. 38-47 - Bing Qian, Chong Ma, Tong Zhang:
Research on Optimization of 4G-LTE Wireless Network Cells Anomaly Diagnosis Algorithm based on Multidimensional Time Series Data. 48-57 - Csongor Tamás, Dorottya Papp, Levente Buttyán:
SIMBIoTA: Similarity-based Malware Detection on IoT Devices. 58-69 - Nathaniel Mcinnes, Gary B. Wills:
The VoIP PBX Honeypot Advance Persistent Threat Analysis. 70-80 - Gorazd Jank, Silvia Schmidt, Manuel Koschuch:
Secure Key Management in Embedded Systems: A First Proposal. 81-91 - Lucas Benevides Dias, Dennis Sávio Silva, Rafael T. de Sousa Jr., Maristela Holanda:
C*DynaConf: An Apache Cassandra Auto-tuning Tool for Internet of Things Data. 92-102 - Ziyue Yu, Lihua He, Wuman Luo, Rita Tse, Giovanni Pau:
Deep Learning for COVID-19 Prediction based on Blood Test. 103-111 - Christian Ploder, Reinhard Bernsteiner, Thomas Dilger, Sarah Huber:
Customer Relationship Management Improvement using IoT Data. 115-122 - Yassine Abbar, Pascal Aubry, Thierno Barry, Sergiu Carpov, Sayanta Mallick, Mariem Krichen, Damien Ligier, Sergey Shpak, Renaud Sirdey:
Cloud-based Private Querying of Databases by Means of Homomorphic Encryption. 123-131 - Anantha Rao Chukka, V. Susheela Devi:
Detection of Malicious Binaries by Deep Learning Methods. 132-139 - Tiberiu Boros, Andrei Cotaie, Kumar Vikramjeet, Vivek Malik, Lauren Park, Nick Pachis:
A Principled Approach to Enriching Security-related Data for Running Processes through Statistics and Natural Language Processing. 140-147 - Jurij Kuzmic, Günter Rudolph:
Comparison between Filtered Canny Edge Detector and Convolutional Neural Network for Real Time Lane Detection in a Unity 3D Simulator. 148-155 - Fabian Schirmer, Andreas Freymann, Anamaria Cristescu, Niklas Geisinger:
Use of Machine Learning for Expanding Realistic and Usable Routes for Data Analysis on Sustainable Mobility. 156-163 - Abel Rodriguez Medel, Jose Marcos Camara Brito:
A Comparison among Wi-Fi Direct, Classic Bluetooth, and Bluetooth Low Energy Discovery Procedures for Enabling Massive Machine Type Communications. 164-169 - Andrii Honchar, Maryna Popova, Rina Novogrudska:
An Ontological Approach to the Formation of an Excursion Route by Heritage Objects in GIS. 170-176 - Islam Abusohyon, Flavio Tonelli:
Internet of Things based Product-Service System in the Maritime Industrial Sector. 177-184 - Hoi Wen Leung, Adriane Chapman, Nawfal F. Fadhel:
Identifying Food Fraud using Blockchain. 185-192 - Daniel Staegemann, Matthias Volk, Akanksha Saxena, Matthias Pohl, Abdulrahman Nahhas, Robert Häusler, Mohammad Abdallah, Sascha Bosse, Naoum Jamous, Klaus Turowski:
Challenges in Data Acquisition and Management in Big Data Environments. 193-204 - Salem Alemaishat:
A Low-Complexity Algorithm for NB-IoT Networks. 205-214 - Mangolika Bhattacharya, Reenu Mohandas, Mihai Penica, Mark Southern, Karl Van Camp, Martin J. Hayes:
Analysis of the Message Queueing Telemetry Transport Protocol for Data Labelling: An Orthopedic Manufacturing Process Case Study. 215-222 - K. Sornalakshmi, Revathi Venkataraman, N. Parthiban, V. Kavitha:
IoT based Circadian Rhythm Monitoring using Fuzzy Logic. 223-228 - Venkatesh K. Pappakrishnan, R. Mythili, V. Kavitha, N. Parthiban:
Role of Artificial Intelligence of Things (AIoT) in Covid-19 Pandemic: A Brief Survey. 229-236 - Amit Goyal, Akshat Garg, Digvijaysingh Gour, R. K. Shyamasundar, G. Sivakumar:
Information Flow Secure CAmkES. 237-244 - Bernhard Heiden, Volodymyr Alieksieiev, Bianca Tonino-Heiden:
Selforganisational High Efficient Stable Chaos Patterns. 245-252 - Aleksey V. Burdakov, Uriy A. Grigorev, Andrey D. Ploutenko, Oleg Ermakov:
Approximate Query Processing for Lambda Architecture. 253-261 - Aleksey V. Burdakov, Uriy A. Grigorev, Andrey D. Ploutenko, Oleg Ermakov:
Analysis Layer Implementation Method for a Streaming Data Processing System. 262-269 - Tamer Omar, Kevin Guerra, Christopher Mardoyan, Shannen Sharma, Xavier Rangel:
Smart Cities V2I Cloud based Infrastructure using Road Side Units. 270-277 - Adrián Tóth, Mouzhi Ge:
A Deployable Data as a Service Architecture for Enterprises. 278-285 - Mwangi Eric, Hany F. Atlam, Nawfal F. Fadhel:
Malicious Activity Detection using Smart Contracts in IoT. 286-295 - Daniel Staegemann, Matthias Volk, Matthias Pohl, Robert Häusler, Abdulrahman Nahhas, Mohammad Abdallah, Klaus Turowski:
A Preliminary Overview of the Situation in Big Data Testing. 296-302 - Lorenzo De Lauretis, Tiziano Lombardi, Stefania Costantini, Ludovica Clementini:
An Arduino-based Device to Detect Dangerous Audio Noises. 303-308 - Vishwajeet Bhosale, Lorenzo De Carli, Indrakshi Ray:
Detection of Anomalous User Activity for Home IoT Devices. 309-314 - C. C. Lee, George Chan:
Development of Low-cost IoT System for Monitoring and Enhancing Renewable Energy Feed-in Tariff at Household in Hong Kong. 315-322 - Liuyang Dong, Jiliang Li, Yanxing Li, Jing Ren, Shizhong Xu, Gang Sun, Victor Chang:
P2S2O: Pseudonymous Polling System for Small Organizations. IoTBDS 2021: 323-328 - Victor Chang, Yeqing Mou, Qianwen Ariel Xu, Harleen Kaur, Ben Shaw-Ching Liu:
Homicide Network Detection based on Social Network Analysis. 329-337
Special Session on Artificial Intelligence for Emerging IoT Systems: Open Challenges and Novel Perspectives
- Lelio Campanile, Fiammetta Marulli, Michele Mastroianni, Gianfranco Palmiero, Carlo Sanghez:
Machine Learning-aided Automatic Calibration of Smart Thermal Cameras for Health Monitoring Applications. 343-353 - Lelio Campanile, Pasquale Cantiello, Mauro Iacono, Roberta Lotito, Fiammetta Marulli, Michele Mastroianni:
Applying Machine Learning to Weather and Pollution Data Analysis for a Better Management of Local Areas: The Case of Napoli, Italy. 354-363 - Tran Duc Hai Du, Van Dinh Chuong:
Apply Machine Learning and Fuzzy Logics to Design an Automated System for Urban Farming. IoTBDS 2021: 367-374 - Roger A. Hallman, George Cybenko:
The Data Deconflation Problem: Moving from Classical to Emerging Solutions. 375-380
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