SECURING IOT-BASED HEALTHCARE THROUGH BLOCKCHAIN-DRIVEN PRIVACY-PRESERVING SCHEME ENHANCED BY MACHINE LEARNING

Abstract

Securing IOT-Based Healthcare through Blockchain-Driven Privacy-Preserving Scheme Enhanced by Machine Learning is the proposed invention. The proposed invention focuses on understanding the functions of Healthcare Security. The invention focuses on analyzing the parameters of Blockchain-Driven Privacy-Preserving Scheme using algorithms of Machine Learning Approach.

Specification

Description:[0001] Background description includes information that may be useful in understanding the present invention. It is not an admission that any of the information provided herein is prior art or relevant to the presently claimed invention, or that any publication specifically or implicitly referenced is prior art.
[0002] Machine learning (ML) is a type of artificial intelligence (AI) that allows computers to learn and improve from experience without being explicitly programmed. ML uses algorithms to analyze large amounts of data, identify patterns, and make predictions. The more data a machine learning system is exposed to, the more accurate it becomes. ML is useful in situations where data is constantly changing, or when coding a solution would be difficult.
[0003] A number of different types of security of health care unit analysis systems that are known in the prior art. For example, the following patents are provided for their supportive teachings and are all incorporated by reference.
[0004] Privacy Protection for Blockchain-Based Healthcare IoT Systems: A Survey: To enable precision medicine and remote patient monitoring, internet of healthcare things (IoHT) has gained significant interest as a promising technique. With the widespread use of IoHT, nonetheless, privacy infringements such as IoHT data leakage have raised serious public concerns. On the other side, blockchain and distributed ledger technologies have demonstrated great potential for enhancing trustworthiness and privacy protection for IoHT systems. In this survey, a holistic review of existing blockchain-based IoHT systems is conducted to indicate the feasibility of combining blockchain and IoHT in privacy protection. In addition, various types of privacy challenges in IoHT are identified by examining general data protection regulation (GDPR). More importantly, an associated study of cutting-edge privacy-preserving techniques for the identified IoHT privacy challenges is presented. Finally, several challenges in four promising research areas for blockchain-based IoHT systems are pointed out, with the intent of motivating researchers working in these fields to develop possible solutions.
[0005] IOT stands for Internet of Things, which is a network of physical objects that are connected to the internet and can communicate with each other and with users. IOT devices are embedded with sensors, software, and other technologies that allow them to collect and exchange data. The term "Internet of Things" was coined in 1999 by computer scientist Kevin Ashton. The proposed invention focuses on analyzing the Blockchain-Driven Privacy-Preserving Scheme through algorithms of Machine Learning Approach.
[0006] Above information is presented as background information only to assist with an understanding of the present disclosure. No determination has been made, no assertion is made, and as to whether any of the above might be applicable as prior art with regard to the present invention.
[0007] In the view of the foregoing disadvantages inherent in the known types of security of health care unit analysis systems now present in the prior art, the present invention provides an improved system. As such, the general purpose of the present invention, which will be described subsequently in greater detail, is to provide a new and improved Blockchain-Driven Privacy-Preserving Scheme Enhanced by Machine Learning for securing of healthcare units that has all the advantages of the prior art and none of the disadvantages.
SUMMARY OF INVENTION
[0008] In the view of the foregoing disadvantages inherent in the known types of security of health care unit analysis systems now present in the prior art, the present invention provides an improved one. As such, the general purpose of the present invention, which will be described subsequently in greater detail, is to provide a new and improved Blockchain-Driven Privacy-Preserving Scheme Enhanced by Machine Learning for securing of healthcare units which has all the advantages of the prior art and none of the disadvantages.
[0009] The Main objective of the proposed invention is to design & implement a framework of Machine Learning techniques for analyzing the parameters of Blockchain-Driven Privacy-Preserving Scheme. Securing IoT-Based Healthcare is analyzed.
[0010] Yet another important aspect of the proposed invention is to design & implement a framework of IOT techniques that will consider on understanding the functions of Healthcare Security. A Blockchain-Driven Privacy-Preserving Scheme is analyzed by predictive unit. The results of prediction are displayed on the display unit.
[0011] In this respect, before explaining at least one embodiment of the invention in detail, it is to be understood that the invention is not limited in its application to the details of construction and to the arrangements of the components set forth in the following description or illustrated in the various ways. Also, it is to be understood that the phraseology and terminology employed herein are for the purpose of description and should not be regarded as limiting.
[0012] These together with other objects of the invention, along with the various features of novelty which characterize the invention, are pointed out with particularity in the disclosure. For a better understanding of the invention, its operating advantages and the specific objects attained by its uses, reference should be had to the accompanying drawings and descriptive matter in which there are illustrated preferred embodiments of the invention.
BRIEF DESCRIPTION OF DRAWINGS
[0013] The invention will be better understood and objects other than those set forth above will become apparent when consideration is given to the following detailed description thereof. Such description makes reference to the annexed drawings wherein:
Figure 1 illustrates the schematic view of Securing IOT-Based Healthcare through Blockchain-Driven Privacy-Preserving Scheme Enhanced by Machine Learning, according to the embodiment herein.
DETAILED DESCRIPTION OF INVENTION
[0014] In the following detailed description, reference is made to the accompanying drawings which form a part hereof, and in which is shown by way of illustration specific embodiments in which the invention may be practiced. These embodiments are described in sufficient detail to enable those skilled in the art to practice the invention, and it is to be understood that the embodiments may be combined, or that other embodiments may be utilized and that structural and logical changes may be made without departing from the spirit and scope of the present invention. The following detailed description is, therefore, not to be taken in a limiting sense, and the scope of the present invention is defined by the appended claims and their equivalents.
[0015] While the present invention is described herein by way of example using several embodiments and illustrative drawings, those skilled in the art will recognize that the invention is neither intended to be limited to the embodiments of drawing or drawings described, nor intended to represent the scale of the various components. Further, some components that may form a part of the invention may not be illustrated in certain figures, for ease of illustration, and such omissions do not limit the embodiments outlined in any way. It should be understood that the drawings and detailed description thereto are not intended to limit the invention to the particular form disclosed, but on the contrary, the invention covers all modification/s, equivalents and alternatives falling within the spirit and scope of the present invention as defined by the appended claims. The headings are used for organizational purposes only and are not meant to limit the scope of the description or the claims. As used throughout this description, the word "may" be used in a permissive sense (i.e., meaning having the potential to), rather than the mandatory sense (i.e., meaning must). Further, the words "a" or "a" mean "at least one" and the word "plurality" means one or more, unless otherwise mentioned. Furthermore, the terminology and phraseology used herein is solely used for descriptive purposes and should not be construed as limiting in scope. Language such as "including," "comprising," "having," "containing," or "involving," and variations thereof, is intended to be broad and encompass the subject matter listed thereafter, equivalents, and any additional subject matter not recited, and is not intended to exclude any other additives, components, integers or steps. Likewise, the term "comprising" is considered synonymous with the terms "including" or "containing" for applicable legal purposes. Any discussion of documents, acts, materials, devices, articles and the like are included in the specification solely for the purpose of providing a context for the present invention.
[0016] In this disclosure, whenever an element or a group of elements is preceded with the transitional phrase "comprising", it is understood that we also contemplate the same element or group of elements with transitional phrases "consisting essentially of, "consisting", "selected from the group consisting of", "including", or "is" preceding the recitation of the element or group of elements and vice versa.
[0017] A Blockchain-Driven Privacy-Preserving Scheme is a cryptographic and architectural approach to protect user privacy and data security in blockchain systems. This scheme leverages blockchain's decentralized and immutable nature to create a secure environment, where sensitive data and user identities are safeguarded while maintaining transparency and auditability.
[0018] Securing IOT-based healthcare refers to implementing security measures to protect Internet of Things (IOT) devices and networks used in healthcare settings. IOT devices in healthcare, such as wearable sensors, remote monitoring systems, and connected medical equipment, collect and transmit critical health data, making them valuable but vulnerable targets for cyberattacks. The proposed invention focuses on implementing the algorithms of IOT Approach for studying the functions of Healthcare Security.
[0019] Reference will now be made in detail to the exemplary embodiment of the present disclosure. Before describing the detailed embodiments that are in accordance with the present disclosure, it should be observed that the embodiment resides primarily in combinations arrangement of the system according to an embodiment herein and as exemplified in FIG. 1
[0020] Figure 1 illustrates the schematic view of Securing IOT-Based Healthcare through Blockchain-Driven Privacy-Preserving Scheme Enhanced by Machine Learning 100. The proposed invention 100 includes a various healthcare unit 101 for analysis purposes. The analysis 102 will take data from healthcare units 101. The database 103 will store data from analysis unit 102 and sends it to the machine learning unit 104. The predictive algorithm 105 will predict the upcoming threats if any and displays it on the display unit 106. The blockchain 108 connected to cloud server 107 and IOT to alert the healthcare units 101.
[0021] In the following description, for the purpose of explanation, numerous specific details are set forth in order to provide a thorough understanding of the arrangement of the system according to an embodiment herein. It will be apparent, however, to one skilled in the art that the present embodiment can be practiced without these specific details. In other instances, structures are shown in block diagram form only in order to avoid obscuring the present invention.
, Claims:1. Securing IOT-Based Healthcare through Blockchain-Driven Privacy-Preserving Scheme Enhanced by Machine Learning, comprises of:
Analysis unit;
Database;
Predictive unit and
Display unit.
2. Securing IOT-Based Healthcare through Blockchain-Driven Privacy-Preserving Scheme Enhanced by Machine Learning, according to claim 1, includes an analysis unit, wherein the analysis unit will take data from healthcare units.
3. Securing IOT-Based Healthcare through Blockchain-Driven Privacy-Preserving Scheme Enhanced by Machine Learning, according to claim 1, includes a database, wherein the database will store data from analysis unit and sends it to the machine learning unit.
4. Securing IOT-Based Healthcare through Blockchain-Driven Privacy-Preserving Scheme Enhanced by Machine Learning, according to claim 1, includes a predictive unit, wherein the predictive unit will predict the upcoming threats if any and displays it on the display unit.
5. Securing IOT-Based Healthcare through Blockchain-Driven Privacy-Preserving Scheme Enhanced by Machine Learning, according to claim 1, includes a display unit, wherein the display unit will display the results of predictive unit.

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