City Research Online

Abstract

The security of IoT devices is a major concern that needs to be addressed for their wide adoption. Users are constantly seeking devices that are faster and capable of holding large amounts of data securely. It is purported that water has memory of its own and the ability to retain memory of the substances that are dissolved into it, even after being substantially and serially diluted. It was also observed in the lab setting that the microscopic pattern of water obtained from the same vessel by different people is unique but can easily distinguish those individuals if the same experiment is executed repeatedly. Furthermore, extensive research is already underway that explores the storage of data on water and liquids. This leads to the requirement of taking the security and privacy concerns related to the storage of data on water into consideration, especially when the real-time collection of data related to water through the IoT devices is of interest. Otherwise, the water memory aspect may lead to leakage of the data and, consequently, the data owners identity. Therefore, this article for the first time highlights the security and privacy implications related to water memory and discusses the possible countermeasures to effectively handle these potential threats. This article also presents a framework to securely store sensitive data on water. The proof-of-concept prototype is implemented and tested over a real-world dataset to analyze the feasibility of the proposed framework. The performance analysis yields that the proposed framework can be deployed once data storage on water is widely used.

Publication Type:	Article
Additional Information:	This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Publisher Keywords:	water memory; security; privacy; distinguishability; searchable encryption; DNA
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science T Technology > TK Electrical engineering. Electronics Nuclear engineering
Departments:	School of Science & Technology > Engineering
SWORD Depositor:	Symplectic Administrator

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