Series: Intelligent Data-Centric Systems: Sensor Collected Intelligence

Intelligent Data Centric Systems publishes the latest research findings and technological developments in the area of smart sensors and collected sensor data intelligence. Works in this series will include edited volumes, books and monographs and will provide full coverage of leading computing paradigms and technologies, development applications, empirical studies, and future trends in the multi-disciplinary field comprising smart sensors, smart sensor networks, data analysis, and machine intelligence methods.

 

Topical coverage includes but is not limited to:

  • Smart Sensors Collective Intelligence
  • Ambient Intelligent Systems
  • Computing with Smart Devices 
  • Cyber Physical Systems
  • IOT Systems and Mobile Computing
  • Massive Data Processing and Analysis
  • Social Sensing Data
  • Wireless Sensor Networks and Data Fusion Techniques
  • Data Analytics
  • Applications: Surveillance Tracking Systems, Disaster Management, Medical Systems, Transportation, Business Intelligence, Environmental Monitoring Systems, eLearning and Virtual Campuses, Smart Grids and Energy Efficiency Systems, etc.

 

Structure:

  • Provides the latest information on significant research findings and developments in these fields.
  • Provides coverage of research topics and development from various perspectives and needs.
  • A timely coverage of emerging topics and discussion of future trends
  • Inter–disciplinary nature
  • High quality publishing (online and hardcover)

Publications in this Book Series include:

  • Edited volumes
  • Authored volumes
  • Monographs

*Conference and workshop organizers are encouraged to present their book proposal, based on conference/workshop contributions

Indexing of published volumes:

All published volumes in this book series are submitted for indexing in:

  • Scopus
  • EI Indexing / Compendex
  • Book Citation Index

For further information, please  contact:

Series Editor: 

Professor Fatos Xhafa Ph.D.

Technical University of Catalonia, Barcelona, Spain

http://www.cs.upc.edu/~fatos/

E-mail: fatos@cs.upc.edu

 

Sonnini Ruiz Yura: s.yura@elsevier.com

 

Book Series: Intelligent Data Security Solutions for e-Health Applications

Most recent volume


Volume . Intelligent Data Security Solutions for e-Health Applications

Published: 2nd September 2020 Editors: Amit Kumar Singh Mohamed Elhoseny

E-health applications such as tele-medicine, tele-radiology, tele-ophthalmology, and tele-diagnosis are very promising and have immense potential to improve global healthcare. They can improve access, equity, and quality through the connection of healthcare facilities and healthcare professionals, diminishing geographical and physical barriers. One critical issue, however, is related to the security of data transmission and access to the technologies of medical information. Currently, medical-related identity theft costs billions of dollars each year and altered medical information can put a person’s health at risk through misdiagnosis, delayed treatment or incorrect prescriptions. Yet, the use of hand-held devices for storing, accessing, and transmitting medical information is outpacing the privacy and security protections on those devices. Researchers are starting to develop some imperceptible marks to ensure the tamper-proofing, cost effective, and guaranteed originality of the medical records. However, the robustness, security and efficient image archiving and retrieval of medical data information against these cyberattacks is a challenging area for researchers in the field of e-health applications.

Intelligent Data Security Solutions for e-Health Applications focuses on cutting-edge academic and industry-related research in this field, with particular emphasis on interdisciplinary approaches and novel techniques to provide security solutions for smart applications. The book provides an overview of cutting-edge security techniques and ideas to help graduate students, researchers, as well as IT professionals who want to understand the opportunities and challenges of using emerging techniques and algorithms for designing and developing more secure systems and methods for e-health applications.

Additional volumes


Swarm Intelligence for Resource Management in Internet of Things

Published: 1st June 2020 Editors: Aboul Ella Hassanien Ashraf Darwish

The Cognitive Approach in Cloud Computing and Internet of Things Technologies for Surveillance Tracking Systems

Published: 1st March 2020 Editors: Dinesh Peter Amir Alavi Bahman Javadi Steven Fernandes

Smart Delivery Systems

Published: 21st November 2019 Editor: Jakub Nalepa

Intelligent Data Analysis for Biomedical Applications

Published: 19th March 2019 Editors: Hemanth D. Jude Deepak Gupta Valentina Emilia Balas

Geographical and Fingerprinting Data for Positioning and Navigation Systems

Published: 14th September 2018 Editors: Jordi Conesa Antoni Pérez-Navarro Joaquin Torres-Sospedra Raul Montoliu

Computational Intelligence for Multimedia Big Data on the Cloud with Engineering Applications

Published: 25th August 2018 Editors: Arun Kumar Sangaiah Zhiyong Zhang Michael Sheng

Intelligent Data Sensing and Processing for Health and Well-being Applications

Published: 27th July 2018 Editors: Miguel Antonio Wister Ovando Pablo Pancardo Garcia Francisco Diego Acosta Escalante Jose Adan Hernandez Nolasco

Security and Resilience in Intelligent Data-Centric Systems and Communication Networks

Published: 20th September 2017 Editors: Massimo Ficco Francesco Palmieri

Adaptive Mobile Computing

Published: 15th August 2017 Editors: Mauro Migliardi Alessio Merlo Sherenaz Al-HajBaddar

Smart Sensors Networks

Published: 8th June 2017 Editors: Fatos Xhafa Fang-Yie Leu Li-Ling Hung

Cognitive Information Systems in Management Sciences

Published: 6th March 2017 Author: Lidia Ogiela

Big Data Analytics for Sensor-Network Collected Intelligence

Published: 8th February 2017 Editors: Hui-Huang Hsu Chuan-Yu Chang Ching-Hsien Hsu

Cyber-Physical Systems

Published: 11th September 2016 Editors: Houbing Song Danda Rawat Sabina Jeschke Christian Brecher

Intelligent Data Analysis for e-Learning

Published: 9th August 2016 Authors: Jorge Miguel Santi Caballé Fatos Xhafa

Formative Assessment, Learning Data Analytics and Gamification

Published: 9th May 2016 Authors: Santi Caballé Robert Clarisó

Pervasive Computing

Published: 13th April 2016 Editors: Ciprian Dobre Fatos Xhafa