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Privacy in Information-Rich Intelligent Infrastructure [article]

Cynthia Dwork, George J. Pappas
2017 arXiv   pre-print
Without a framework for protecting the privacy of the driver's data, drivers may be very conservative about sharing their data with cloud-based analytics that will be responsible for adding the intelligence  ...  Intelligent infrastructure will critically rely on the dense instrumentation of sensors and actuators that constantly transmit streaming data to cloud-based analytics for real-time monitoring.  ...  Acknowledgements Thanks to Rakesh Vohra, Aaron Roth, and Andreas Haeberlen at the University of Pennsylvania for discussions on the privacy of IoT data, and to Helen Wright for invaluable help in writing  ... 
arXiv:1706.01985v1 fatcat:mbu7xn2honhndimxgp5t6mz434

Secure IoT Data Analytics in Cloud via Intel SGX [article]

Md Shihabul Islam, Mustafa Safa Ozdayi, Latifur Khan, Murat Kantarcioglu
2020 arXiv   pre-print
Also, the prodigious IoT ecosystem has provided users with opportunities to automate systems by interconnecting their devices and other services with rule-based programs.  ...  We evaluate the framework by executing rule-based programs in the SGX securely with both simulated and real IoT device data.  ...  and SGX based processing is not significant.  ... 
arXiv:2008.05286v1 fatcat:43bc5a24tneazipvhrfysypaqu

Big IoT Healthcare Data Analytics Framework Based on Fog and Cloud Computing

Hamoud Alshammari, Sameh Abd El-Ghany, Abdulaziz Shehab
2020 Journal of Information Processing Systems  
In this paper, we propose an innovative analytic framework for big healthcare data that are collected either from IoT wearable devices or from archived patient medical images.  ...  Additionally, it guarantees robust and secure knowledge of patient medical data.  ...  The framework layer components guarantee multiple device pre-processing, processing, integration, and analytics in real time.  ... 
doi:10.3745/jips.04.0193 dblp:journals/jips/AlshammariES20 fatcat:a2atx44f35ahfbmo2p3baylple

An Edge-Fog-Cloud Architecture of Streaming Analytics for Internet of Things Applications

Hung Cao, Monica Wachowicz
2019 Sensors  
This paper proposes a new architecture based on the edge-fog-cloud continuum to analyze IoT data streams for delivering data-driven insights in a smart parking scenario.  ...  Exploring Internet of Things (IoT) data streams generated by smart cities means not only transforming data into better business decisions in a timely way but also generating long-term location intelligence  ...  We would like to thank Compute Canada for providing us with the cloud resources, the City of Saint John, NB, Canada, and HotSpot Parking for giving us access to their IoT stream data.  ... 
doi:10.3390/s19163594 fatcat:ajvygzkmlffmdamcurtp4no55y

New Frontiers in IoT: Networking, Systems, Reliability, and Security Challenges [article]

Saurabh Bagchi, Tarek F. Abdelzaher, Ramesh Govindan, Prashant Shenoy, Akanksha Atrey, Pradipta Ghosh, Ran Xu
2020 arXiv   pre-print
the physical environment, and the close coupling with humans.  ...  upon to run (such as, video and LIDAR processing) on constrained resources (on-node and network).  ...  This calls for innovations at the algorithmic level to process a large number of sensor data streams with accuracy and processing time similar to processing of a single sensor data stream.  ... 
arXiv:2005.07338v1 fatcat:a6hb5dpk7fgwreua5x2n7vlw7y

Data Privacy Enhancing in the IoT User/Device Behavior Analytics

Shan Cang Li, Shanshan Zhao, Prosanta Gope, Li Da Xu
2022 ACM transactions on sensor networks  
The collected data are always including sensitive information (sensitive data, users/devices/applications behaviors, etc. ), which can be exchanged over the IoT to third-party for storing, processing,  ...  The experimental results demonstrate that the proposed solution can provide privacy-enhanced data for third-party services and applications over the IoT.  ...  Advanced data privacy protection in IoT In Synthetic anonymized data has been applied in natural language processing.  ... 
doi:10.1145/3534648 fatcat:yznofpt7gnbm3hkdzrhlq4w4ou

CSA: Streaming Engine for Internet of Things

Zhitao Shen, Vikram Kumaran, Michael J. Franklin, Sailesh Krishnamurthy, Amit Bhat, Madhu Kumar, Robert Lerche, Kim Macpherson
2015 IEEE Data Engineering Bulletin  
We propose such a distributed architecture for Internet of Things (IoT) applications based on Cisco's Connected Streaming Analytics platform (CSA).  ...  Stream query processing is natural technology for use in IOT applications, and embedding such processing in the network enables processing to be placed closer to the sources of data in widely distributed  ...  Another challenge posed by the IoT is data privacy, with the need for policy-based restrictions on what gets sent out from devices [2] .  ... 
dblp:journals/debu/ShenKFKBKLM15 fatcat:xqxr6qagn5f2heqshlfdbeorqy

Inspiring Evolving Technologies in Internet of Things

Samson Hansen Sackey, Samuel Nartey Kofie, Godwin Kobby Gapko, Abdul Karim Armah
2019 Pacific International Journal  
In view of wireless communications, the perception of evolving technologies and opportunities in the Internet of Things (IoT) is basically wireless connectivity.  ...  However, applicable communication and information technologies in the field of IoT have great influence in involving digital and physical units together.  ...  Event Stream Processing: High percentage of data charges are needed in real time by some IoT applications.  ... 
doi:10.55014/pij.v2i2.77 fatcat:22e7v2oy5zc3zkxf6uqnlkjfwi

Verification and Validation Techniques for Streaming Big Data Analytics in Internet ofThings Environment

Sudeep Tanwar, Aparna Kumari, Sudhanshu Tyagi, Neeraj Kumar
2018 IET Networks  
Current research and development are mainly focused on the analytics of this big data generated from different devices and overlook the difficulty of its secure streaming.  ...  With an exponential growth of raw data generated from different sensors, actuators, and mobile devices, data analytics is becoming a challenging issue keeping in view of the heterogeneity of the data generated  ...  On the other hand, processing over small data over short or recent time is known as stream processing.  ... 
doi:10.1049/iet-net.2018.518 fatcat:r4ss3v5m65gjljviwagzlvay3y

Towards an IoT Platform with Edge Intelligence Capabilities

Vladimir FLORIAN, Gabriel NEAGU
2018 Studies in Informatics and Control  
The adopted approach combines features and functionalities of both content-based and topic-based publish/subscribe models, with the aim to promote Edge Analytics principles by moving computation closer  ...  A specific feature of the IoT systems consists in continuously generated data by sensors and smart devices, which makes necessary enabling real time pre-processing and filtering as close as possible to  ...  The event streams are matched with higher level attribute-based subscriptions in order to detect complex event occurrences. This matching problem is treated as pattern matching over event streams.  ... 
doi:10.24846/v27i1y201807 fatcat:a645gpm2xng2bewi6k33mvdzam

Fog Computing for Smart Cities' Big Data Management and Analytics: A Review

Elarbi Badidi, Zineb Mahrez, Essaid Sabir
2020 Future Internet  
Furthermore, many smart city applications are time-sensitive and need to quickly analyze data to react promptly to The various events occurring in a city.  ...  Hence, many smart cities have taken a new step in moving away from internal information technology (IT) infrastructure to utility-supplied IT delivered over The Internet.  ...  With solutions based on edge computing, IoT data streams are partially stored and processed locally, allowing businesses to get faster responses and reduce network traffic.  ... 
doi:10.3390/fi12110190 fatcat:i3ziazyorve2rc2zvhxzskirhm

An Architecture for QoS-Aware Fog Service Provisioning

Elarbi Badidi, Awatif Ragmani
2020 Procedia Computer Science  
IoT data streams are typically transmitted to cloud services for processing.  ...  IoT data streams are typically transmitted to cloud services for processing.  ...  Indeed, leveraging IoT-based data streams means increased visibility into events taking place across neighboring devices and continuous enhancement of services.  ... 
doi:10.1016/j.procs.2020.03.083 fatcat:rdbqkzw73vairm4bt3reqrzt7a

Next Generation Internet of Things [chapter]

Ovidiu Vermesan, Joël Bacquet
2018 Next Generation Internet of Things  
The chapter presents an overview of the eight that are part of the European IoT Security and Privacy Projects initiative (IoT-ESP) addressing advanced concepts for end-to-end security in highly distributed  ...  Platforms should provide connectivity and intelligence, actuation and control features, linkage to modular and ad-hoc cloud services, The IoT platforms used are compatible with existing international developments  ...  In order to implement this intelligence, the monitoring probes will be enhanced with data streaming analytics mechanisms, which will be able to process security-related information sources on the fly (  ... 
doi:10.13052/rp-9788770220071 fatcat:bnyyfkhdzbghxetcwhisrqsapq

Toward Practical Privacy-Preserving Analytics for IoT and Cloud-Based Healthcare Systems

Sagar Sharma, Keke Chen, Amit Sheth
2018 IEEE Internet Computing  
However, without appropriate privacy protection, conducting data analytics becomes a source of a privacy nightmare.  ...  We analyze the data and analytic requirements for the involved parties, identify the privacy assets, analyze existing privacy substrates, and discuss the potential tradeoff among privacy, efficiency, and  ...  of privacy-preserving analytics in IoT and cloud based healthcare information systems.  ... 
doi:10.1109/mic.2018.112102519 fatcat:g6hfa77dvvfvlpcfjxsasxecwq

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  ...  Health monitoring systems involve processing and analysis of data retrieved from smartphones, smart watches, smart bracelets, as well as various sensors and wearable devices.  ...  data and events will be streamed.  ... 
doi:10.1007/978-3-030-16272-6_7 fatcat:z2xiyrr7brgflhpuqhtkwagm3i
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