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Differential Privacy for Industrial Internet of Things: Opportunities, Applications and Challenges [article]

Bin Jiang, Jianqiang Li, Guanghui Yue, Houbing Song
2021 arXiv   pre-print
In conclusion, this survey is dedicated to complete comprehensive summary and lay foundation for the follow-up researches on industrial differential privacy.  ...  Then we focus on the metrics of industrial data privacy, and analyze the contradiction between data utilization for deep models and individual privacy protection.  ...  Liu et al. proposed a method for coronary heart disease diagnosis in mobile edge computing based on blockchain-enabled contextual online learning [127] .  ... 
arXiv:2101.10569v2 fatcat:xwebjbcvcjhbbaehajhdfjocia

Medical Data Processing and Analysis for Remote Health and Activities Monitoring [chapter]

Salvatore Vitabile, Michal Marks, Dragan Stojanovic, Sabri Pllana, Jose M. Molina, Mateusz Krzyszton, Andrzej Sikora, Andrzej Jarynowski, Farhoud Hosseinpour, Agnieszka Jakobik, Aleksandra Stojnev Ilic, Ana Respicio (+3 others)
2019 Msphere  
In this chapter, we discuss (1) data collection, fusion, ownership and privacy issues; (2) models, technologies and solutions for  ...  Recent developments in sensor technology, wearable computing, Internet of Things (IoT), and wireless communication have given rise to research in ubiquitous healthcare and remote monitoring of human's  ...  Ma et al. in [52] have presented a Big health application system based on health IoT devices and Big Data.  ... 
doi:10.1007/978-3-030-16272-6_7 fatcat:z2xiyrr7brgflhpuqhtkwagm3i

Revealing the Landscape of Privacy-Enhancing Technologies in the Context of Data Markets for the IoT: A Systematic Literature Review [article]

Gonzalo Munilla Garrido and Johannes Sedlmeir and Ömer Uludağ and Ilias Soto Alaoui and Andre Luckow and Florian Matthes
2021 arXiv   pre-print
IoT data markets in public and private institutions have become increasingly relevant in recent years because of their potential to improve data availability and unlock new business models.  ...  To accomplish this goal, we conducted a systematic literature review on privacy enhancement in data markets for the IoT, covering 50 publications dated up to July 2020.  ...  We also wish to thank the Bayerisches Forschungsinstitut für Digitale Transformation for supporting our research on differential privacy.  ... 
arXiv:2107.11905v1 fatcat:f7fvo76ndnhtplcdovs463rnfq

A Survey of Machine and Deep Learning Methods for Internet of Things (IoT) Security [article]

Mohammed Ali Al-Garadi, Amr Mohamed, Abdulla Al-Ali, Xiaojiang Du, Mohsen Guizani
2018 arXiv   pre-print
Consequently, ML/DL methods are important in transforming the security of IoT systems from merely facilitating secure communication between devices to security-based intelligence systems.  ...  Machine learning and deep learning (ML/DL) have advanced considerably over the last few years, and machine intelligence has transitioned from laboratory curiosity to practical machinery in several important  ...  a lightweight, application-independent, ensemble learning-based framework for detecting online anomalies in the IoT environment.  ... 
arXiv:1807.11023v1 fatcat:a3onbmcf65acpkrtlywcv42tm4

Mining Smart Learning Analytics Data Using Ensemble Classifiers

Samina Kausar, Solomon Sunday Oyelere, Yass Khudheir Salal, Sadiq Hussain, Mehmet Akif Cifci, Slavoljub Hilcenko, Muhammad Shahid Iqbal, Zhu Wenhao, Xu Huahu
2020 International Journal of Emerging Technologies in Learning (iJET)  
Learning has shifted from web-based dumb materials to context-aware smart ubiquitous learning.  ...  In the study, a SLA dataset was explored and advanced ensemble techniques were applied for the classification task.  ...  This framework included class-based differentiated instruction, individual-based personalized learning, group-based collaborative learning, and mass-based generative learning.  ... 
doi:10.3991/ijet.v15i12.13455 fatcat:5phbh6k3jvdqrapb3t2o4favze

IoT Intrusion Detection Taxonomy, Reference Architecture, and Analyses

Khalid Albulayhi, Abdallah A. Smadi, Frederick T. Sheldon, Robert K. Abercrombie
2021 Sensors  
All techniques in these three categories have essentially been used in IoT environments. To date, only a few have been used in the anomaly-based IDS for IoT.  ...  This paper surveys the deep learning (DL) approaches for intrusion-detection systems (IDSs) in Internet of Things (IoT) and the associated datasets toward identifying gaps, weaknesses, and a neutral reference  ...  Data Availability Statement: Not applicable. Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/s21196432 pmid:34640752 fatcat:i2oz5t2nwzc6llexqayyaoezrq

IEEE Access Special Section Editorial: Urban Computing and Intelligence

Rongbo Zhu, Lu Liu, Maode Ma, Hongxiang Li, Shiwen Mao
2021 IEEE Access  
Recent advances in artificial intelligence (AI), cloud/fog/edge computing, big data, and novel communication techniques show that urban computing and intelligence still struggles with fundamental, long-standing  ...  How to enhance distributed computing and processing performance with distributed machine learning (ML), common sense, intelligent interaction, data security, and novel applications is worth exploring.  ...  RONGBO ZHU, Lead Editor LU LIU received the M.Sc. degree in data communication systems from Brunel University and the Ph.D. degree from the University of Surrey (funded by DIF DTC).  ... 
doi:10.1109/access.2021.3111669 fatcat:qmiy5ngnyvfcvbe5is7estlfou

A Systematic Content Review of Artificial Intelligence and the Internet of Things Applications in Smart Home

Samad Sepasgozar, Reyhaneh Karimi, Leila Farahzadi, Farimah Moezzi, Sara Shirowzhan, Sanee M. Ebrahimzadeh, Felix Hui, Lu Aye
2020 Applied Sciences  
We found that there is a considerable gap in the integration of AI and IoT and the use of geospatial data in smart home development.  ...  This article reviewed the state-of-the-art applications of the Internet of things (IoT) technology applied in homes for making them smart, automated, and digitalized in many respects.  ...  online learning.  ... 
doi:10.3390/app10093074 fatcat:53obuaixbre45mi56jrdyoemoa

The role of data science in healthcare advancements: applications, benefits, and future prospects

Sri Venkat Gunturi Subrahmanya, Dasharathraj K. Shetty, Vathsala Patil, B. M. Zeeshan Hameed, Rahul Paul, Komal Smriti, Nithesh Naik, Bhaskar K. Somani
2021 Irish Journal of Medical Science  
, and big data.  ...  Data science and big data analytics can provide practical insights and aid in the decision-making of strategic decisions concerning the health system.  ...  [28] analyzed sentiment (computationally dividing them into categories such as optimistic, pessimistic, and neutral) based on the online response of patients Fig. 4 Role of big data in accelerating  ... 
doi:10.1007/s11845-021-02730-z fatcat:r57qjecgzjcctalhs5pxjvuada

Big Data Analytics for Large-scale Wireless Networks

Hong-Ning Dai, Raymond Chi-Wing Wong, Hao Wang, Zibin Zheng, Athanasios V. Vasilakos
2019 ACM Computing Surveys  
In this paper, we present a survey of the state-of-art big data analytics (BDA) approaches for large scale wireless networks.  ...  The wide proliferation of various wireless communication systems and wireless devices has led to the arrival of big data era in large scale wireless networks.  ...  Hon for his constructive comments.  ... 
doi:10.1145/3337065 fatcat:vjjoymozrzb6pkchdp36dh6lze

Service management for IoT: Requirements, taxonomy, recent advances and open research challenges

Abdelmuttlib Ibrahim Abdalla Ahmed, Abdullah Gani, Siti Hafizah AB Hamid, Abdelzahir Abdelmaboud, Hassan Jamil Syed, Riyaz Ahamed Ariyaluran Habeeb, Ihsan Ali
2019 IEEE Access  
We provide a thematic taxonomy based on the important factors, and investigate recent advances in service management for IoT systems.  ...  In this article, we identify the key requirements for managing IoT services as well as common service management platforms for IoT.  ...  of the online service.  ... 
doi:10.1109/access.2019.2948027 fatcat:fvrl6n5kbja5pedhujblkrb2uy

Analytics for the Internet of Things: A Survey [article]

Eugene Siow, Thanassis Tiropanis, Wendy Hall
2018 arXiv   pre-print
This article reviews work in the IoT and big data analytics from the perspective of their utility in creating efficient, effective and innovative applications and services for a wide spectrum of domains  ...  Finally, we look at some tradeoffs for analytics in the IoT that can shape future research.  ...  [212] implement a service for big data analytics (using R and Hadoop for efficient parallel processing [48] ) in the batch layer to do data mining tasks like clustering.  ... 
arXiv:1807.00971v1 fatcat:jwywwwhbznfprmpi4xvwoag3zy

Analytics for the Internet of Things

Eugene Siow, Thanassis Tiropanis, Wendy Hall
2018 ACM Computing Surveys  
This article reviews work in the IoT and big data analytics from the perspective of their utility in creating efficient, effective and innovative applications and services for a wide spectrum of domains  ...  Finally, we look at some tradeoffs for analytics in the IoT that can shape future research.  ...  [212] implement a service for big data analytics (using R and Hadoop for efficient parallel processing [48] ) in the batch layer to do data mining tasks like clustering.  ... 
doi:10.1145/3204947 fatcat:m5qpzmych5gkhb5nw2xfoezvpm

Security and Privacy in IoT-Cloud-Based e-Health Systems—A Comprehensive Review

Chanapha Butpheng, Kuo-Hui Yeh, Hu Xiong
2020 Symmetry  
The combination of IoT-based e-Health systems integrated with intelligent systems such as cloud computing that provide smart objectives and applications is a promising future trend.  ...  As a repository for health information as well as e-Health analysis, the Internet has the potential to protect consumers from harm and empower them to participate fully in informed health-related decision-making  ...  Acknowledgments: The authors would like to thank the anonymous reviewers for their valuable comments and feedback which was extremely helpful in improving the quality of the paper.  ... 
doi:10.3390/sym12071191 fatcat:zgktlhafpfhvvkdqccdhxz7noq

Towards Crowdsourcing Internet of Things (Crowd-IoT): Architectures, Security and Applications

Kenneth Li Minn Ang, Jasmine Kah Phooi Seng, Ericmoore Ngharamike
2022 Future Internet  
They can be merged to form a new and essential platform in crowdsourcing IoT paradigm for data collection from different sources and communication mediums.  ...  Crowdsourcing can play an important role in the Internet of Things (IoT) applications for information sensing and gathering where the participants are equipped with geolocated devices.  ...  Sensing tasks are distributed across anonymous participating mobile devices, verified, anonymized, in this participatory sensing mode. Das et al.  ... 
doi:10.3390/fi14020049 fatcat:o62tjaayyvfnjc75irzkpzu5vy
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