4.8 Article

Secure and Efficient Data Aggregation for IoT Monitoring Systems

Journal

IEEE INTERNET OF THINGS JOURNAL
Volume 8, Issue 10, Pages 8056-8063

Publisher

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/JIOT.2020.3042204

Keywords

Medical services; Servers; Wireless sensor networks; Wireless communication; Encryption; Internet of Things; Security; Data security; healthcare; Internet of Things (IoT); wearables

Funding

  1. National Natural Science Foundation of China [61872087, 62002048, 62072105, Y030202059018061]
  2. Natural Science Foundation of Fujian Province [2019J01274]

Ask authors/readers for more resources

The proliferation of Internet of Things (IoT) in healthcare has raised concerns about data security and privacy while attempts to provide secure and efficient IoT schemes still lack in achieving secure data analysis. Dynamic data about patient medical status is valuable for healthcare providers, but continually updating data over time poses challenges. The study focuses on developing an efficient and secure scheme for data collection and analysis using IoT wireless body sensors.
The proliferation of Internet of Things (IoT) as a promising paradigm has contributed enormously to modern technology design. The wireless body sensor network (WBSN) technology is an application of IoT in healthcare, whereas data security and privacy impediments have raised some concerns. The collected data via IoT wireless body sensors is vulnerable to a variety of internal and external attacks. One solution is to encrypt or sign the collected data to provide confidentiality and integrity, but the computational complexity hinders the application in the real IoT-based healthcare devices. Although there have been some attempts to provide secure and efficient IoT schemes, there is a lack of achieving secure data analysis in modern healthcare. The aggregated data statistics about the patient's medical status is useful to doctors and healthcare providers. However, the dynamic data continually updating over time is challenging. In this article, we present an efficient and provably secure scheme, which is the first step toward secure data analysis for handling the data collection and analysis for IoT wireless body sensors. The main contribution of our work is a novel cryptographic accumulator based on our novel authenticated additive homomorphic encryption which can collect and accumulate data from IoT wireless wearable devices. These encrypted data can be used for analysis in an encrypted form so that the information is not revealed. To validate security and efficiency, we present security analysis and performance evaluations of our proposed scheme for IoT wireless body sensors.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.8
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available