posted by user: viv || 6178 views || tracked by 9 users: [display]

IoT Cloud Platforms 2017 : Special session on: IoT Cloud Platforms - Trustworthiness, Analytics, and Applications

FacebookTwitterLinkedInGoogle

Link: https://computing.derby.ac.uk/c/special-session-on-iot-cloud-platforms/
 
When Dec 5, 2017 - Dec 8, 2017
Where Austin, Texas, USA
Submission Deadline Aug 15, 2017
Notification Due Sep 8, 2017
Final Version Due Sep 30, 2017
Categories    IOT   cloud computing   security   forensics
 

Call For Papers

AIMS AND SCOPE:

Internet of Things (IoT) are systems of billions of smart devices interconnected over a network and in many cases are cloud-managed. IoT is gaining wide attention from both academia and industry and can offer transformative solutions to serious difficulties faced by elderly populations, climate change, surveillance, healthcare, resource management, and many other mission critical applications. A typical lifecycle of an IoT application starts from data generation at the smart devices, data-streaming to the cloud for storage and analysis, and ending by feedback and data visualization. Many challenges can be addressed in each of the phases of the IoT management life cycle. Example of such challenges are: the heterogeneous nature of IoT device-formation and interrelated surroundings, the remote untrustworthy operational environment, vast amount of real-time information-rich data fusion, streaming, and analytics, context-aware intelligence, and pervasive privacy-sensitive sensing and actuating capabilities.


The workshop session aims to bring together academic researchers and industry practitioners working towards solutions to address the aforementioned challenges. It is expected that the exchanged ideas on recent research and future directions opens the way for collaborative investigations towards new discoveries and extensive enhancement of the presented cutting edge technologies. Therefore, we accept research, industrial, and vision papers.


Topics of interest include, but are not limited to: 

- Cloud infrastructure to support IoT
- IoT data management in the cloud
- Real time big data analysis
- Managing streamed IoT data
- IoT secure access control
- IoT trustworthy data analytics
- Privacy preserved operation and applications
- Secure sensors, actuator technologies
- IoT network and communication security
- Confidentiality assurance mechanisms for IoT
- Exploiting accelerators (e.g. FPGAs and GPUs), coprocessors, and new hardware for efficient analysis of data
- Efficient data storage in the cloud
- Trust management for IoT cooperative devices
- Privacy and anonymization techniques in IoT
- Secure cloud of things
- Security of Big data in IoT
- Hardware security primitives
- IoT forensic analysis and biometrics in IoT
- Secure IoT related applications and Cloud operation
- Ethics and legal considerations in IoT
- IoT design and implementation
- IoT applications
- IoT data visualization

Organizing Committee: 

- Mohamed Azab, SRTA City, Egypt
- Iman Elghandour, Alexandria University, Egypt
- Virginia N. L. Franqueira, University of Derby. UK

Related Resources

IEEE COINS 2021   Internet of Things IoT | Artificial Intelligence | Machine Learning | Big Data | Blockchain | Edge & Cloud Computing | Security | Embedded Systems |
IJITCS 2021   International Journal of Information Technology Convergence and services
IEEE COINS 2021   International Conference on Omni-Layer Intelligent Systems Internet of Things IoT | Artificial Intelligence | Machine Learning | Big Data | Blockchain | Edge & Cloud Computing
IJCCSA 2021   International Journal on Cloud Computing: Services and Architecture
Springer iCETiC 2021   4th International Conference on Emerging Technologies in Computing 2021
IJCIS 2021   International Journal on Cryptography and Information Security
IoT Edge Computing AI 2021   Edge Computing Optimization Using Artificial Intelligence Methods
Spec.Issue on Social Informatics: Scopus 2021   Journal of Social and Business Informatics - Acta Informatica Pragensia
blockchain_ml_iot 2021   Special Issue - Blockchain and Machine Learning for IoT: Security and Privacy Challenges
ITAS--EI Compendex, Scopus 2021   2021 Information Technology & Applications Symposium (ITAS 2021)--EI Compendex, Scopus