Information Security Assessment in Big Data Environment using Fuzzy Logic

Kanika; Achyut; Prabhishek

doi:https://doi.org/10.54216/JCIM.050103

Journal of Cybersecurity and Information Management | 2020

A Systematic Review of Privacy Preserving Healthcare Data Sharing on Blockchain

Sharing the electronic health data helps to increase the accuracy of the diagnoses and to improve the quality of health services. This shared data can also be used in medical research and can reduce medical costs. However, health data are fragmented across decentralized hospitals, this prevents data sharing and puts patients’ privacy at risks. In recent years, blockchain has revealed solutions that make life easier in many areas thanks to its distributed, safe and immutable structure. There are many blockchain-based studies in the literature on providing data privacy and sharing in different areas. In some studies, blockchain has been used with technologies such as cloud computing and cryptology. In the field of healthcare blockchain-based solutions are offered for the management and sharing of Electronic health records. In these solutions, private and consortium blockchain types are generally preferred and Public Key Infrastructure (PKI) and encryption are used for data privacy. Within the scope of this study, blockchain-based studies on the privacy preserving data sharing of health data were examined. In this paper, information about the studies in the literature and potential issues that can be studied in the future were discussed. In addition, information about current blockchain technologies such as smart contracts and PKI is also given.

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Mustafa Tanriverdi mail

link https://doi.org/10.54216/JCIM.040203

Volume & Issue

Vol. Volume 4 / Iss. Issue 2 : Special Issue-RIDAPPH

Details open_in_new

Journal of Cybersecurity and Information Management | 2021

HomeTec Software for Security Aspects of Smart Home Devices Based on IoT

As useful as it gets to connect devices to the internet to make life easier and more comfortable, it also opens the gates to various cyber threats. The connection of Smart Home devices to the internet makes them vulnerable to malicious hackers that infiltrate the system. Hackers can penetrate these systems and have full control over devices. This can lead to denial of service, data leakage, invasion of privacy, etc. Thus security is a major aspect of Smart home devices. However, many companies manufacturing these Smart Home devices have little to no security protocols in their devices. In the process of making the IoT devices cheaper, various cost-cutting is done on the security protocols in IoT devices. In some way, many manufactures of the devices don’t even consider this as a factor to build upon. This leaves the devices vulnerable to attacks. Various authorities have worked upon to standardize the security aspects for the IoT and listed out guidelines for manufactures to follow, but many fail to abide by them. This paper introduces and talks about the various threats, various Security threats to Smart Home devices. It takes a deep dive into the solutions for the discussed threats. It also discusses their prevention. Lastly, it discusses various preventive measures and good practices to be incorporated to protect devices from any future attacks.

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Parth Rustagi mail -

Rohit Sroa -

Priyanshu Sinha -

Ashish Sharma4 -

Sandeep Tayal

link https://doi.org/10.54216/JCIM.050101

Volume & Issue

Vol. Volume 5 / Iss. Issue 1

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Galoitica: Journal of Mathematical Structures and Applications | 2023

An Introduction to Weak Fuzzy Complex Numbers

The objective of this paper is to define for the first time the concept of weak fuzzy complex numbers as a novel generalization of real numbers. Also, it presents some of their elementary properties and algorithms for solving some related algebraic equations.

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Ahmed Hatip mail

link https://doi.org/10.54216/GJMSA.030101

Volume & Issue

Vol. Volume 3 / Iss. Issue 1

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Galoitica: Journal of Mathematical Structures and Applications | 2023

On Some Properties of Dedekind Lattices

The objective of this paper is to study the Dedekind lattices, where we prove if is a -lattice and domain, then  will be a Dedekind domain if and only if every non zero maximal element is invertible. On the other hand, we prove that if  is a domain and -lattices, then  is a dedehind domain if and only if  is a UFD lattices and every non zero prime element is maximal.

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Khadija Ben Othman mail

link https://doi.org/10.54216/GJMSA.030102

Volume & Issue

Vol. Volume 3 / Iss. Issue 1

Details open_in_new

Galoitica: Journal of Mathematical Structures and Applications | 2023

A Study of Neutrosophic Real Analysis by Using the One-Dimensional Geometric AH-Isometry

The objective of this paper is to study and define the neutrosophic real functions with one neutrosophic variable depending on the geometric isometry (AH-Isometry), with a lot of concepts from real analysis including continuality, differentiability, integrability. We have presented the formal forms of different popular functions in neutrosophic environment like logarithmic function, exponential function, trigonometric functions. Rising neutrosophic numbers to any power is well defined including rising to neutrosophic powers.

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Mohammad Abobala mail -

Mohamed Bisher Zeina mail

link https://doi.org/10.54216/GJMSA.030103

Volume & Issue

Vol. Volume 3 / Iss. Issue 1

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Prospects for Applied Mathematics and Data Analysis | 2023

Study on the Expectation of Geometric Distribution

When we want to know the truth of the emergence of a scientific principle, we find in many cases that it is no more than a process of interpretation, description and analysis of existing natural phenomena of various kinds, this is done by identifying the components on which these phenomena depend and the qualities and characteristics that each organism enjoys, which enables us to form a clear strategic vision that helps us in developing pre-solutions to what we expect from the problems resulting from any emergency or exceptional circumstance Most studies in the fields of science need two types of study: 1-       Study the real data obtained through observation and description, and  then record and tabulate the case information we are studying. 2-       the study of phenomena to predict what the phenomenon will become in the near and even distant future, The statistical analysis puts us in the merits of the current and future situation of the system under study, and statistical analysis is the applied aspect of probability science, through the probability distributions that are used in different fields of science, the probability of the values of the variable can be calculated by applying a mathematical equation called the probability density function and by using distinctive values for these distributions such as expectation, variance and standard deviation   From analyzing the data to reach the desired results, after reviewing a number of references, it drew my attention that the expectation of the geometric distribution is calculated using a relationship that varies from one return to another, knowing that these references start from the basic definition of the expectation or from the moment-generating function,  and logically the results must be the same, so I prepared this research, through which I explained the reason for  the difference, which in turn may have an impact on the results of studies for the systems which works according to this distribution (the importance of this effect depends on the meaning of the expectation for the studied system)

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Mohammad Jdeed mail

link https://doi.org/10.54216/PAMDA.010104

Volume & Issue

Vol. Volume 1 / Iss. Issue 1

Details open_in_new

Prospects for Applied Mathematics and Data Analysis | 2023

A Study of a Neutrosophic Differential Equation by Using the One-Dimensional Geometric AH-Isometry

In this paper, the definition of a Neutrosophic Differential Equation by Using the One-Dimensional Geometric AH-Isometry. The main objective is define a Neutrosophic identical linear differential equation and Neutrosophic non-homogeneous linear differential equation and find solutions for this equation.

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Ahmed Salamah mail -

Malath F Alaswad mail -

Rasha Dallah mail

link https://doi.org/10.54216/PAMDA.010105

Volume & Issue

Vol. Volume 1 / Iss. Issue 1

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Prospects for Applied Mathematics and Data Analysis | 2023

Infra bi-Topological space

In this paper, we introduce infra bi-topological structure which is a more general structure than infra-topological spaces. This new space make us enable to increate a new sub-classes of sets, called  infra bi-open (bi-closed) sets,  pairwise infra-open (closed) sets. also we define infra bi-closure, pairwise infra bi-interior and their basic properties are presented. The relations of these concepts with their counterparts in infra-topological space s are given and many examples are presented.

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Riad K. Al-Hamido mail

link https://doi.org/10.54216/PAMDA.010201

Volume & Issue

Vol. Volume 1 / Iss. Issue 2

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Prospects for Applied Mathematics and Data Analysis | 2023

Artificial Intelligence and Neutrosophic Machine learning in the Diagnosis and Detection of COVID 19

The world has always suffered and from diseases and epidemics, and the coronavirus is one of the most dangerous viruses that threatened human life that requires the use of all scientific methods and means to respond to it and reduce its spread by early detection of infections and taking necessary measures In view of the significant role that artificial intelligence plays in most fields of science, it has become one of the most important scientific methods used to resolve complex issues and has been harnessed in medical diagnosis, one of the most complex areas. Many AI and machine learning algorithms have been used to diagnose and detect diseases in general and coronavirus in particular. The support vector machine (svm) machine algorithm was one of the most important algorithms in this area and is one of the most effective compilations used in the knowledge extraction process In spite of all this, the results they present remain incomplete because classification issues do not deal with cognitive uncertainties such as ambiguity, neutrality and inconsistency associated with perception of human thinking, This adversely affects the work of a classic support vector machine and affects the accurate diagnosis of the disease To solve this problem, we have done this research using a Neutrosophic Support Vector Machine because it takes into account all possible cases during the study of the sample and it reduces the impact of extreme values. This increases the accuracy of the results when diagnosing coronavirus symptoms. The study was conducted according to the following steps: 1.       We extract features from chest radiographs based on GLCM 2.       We form a neutrosophic dataset. 3.       We train Neutrosophic Support Machine N-SVM on new data. 4.       We record the results. Comparing the results, we got using the upgraded N-SVM algorithm with the classic SVM algorithm results we found that it gives a more accurate diagnosis of the disease.

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Mohammed Alshikho mail -

Maissam Jdid mail -

Said Broumi mail

link https://doi.org/10.54216/PAMDA.010202

Volume & Issue

Vol. Volume 1 / Iss. Issue 2

Details open_in_new

Journal of Cybersecurity and Information Management | 2021

Information Security Assessment in Big Data Environment using Fuzzy Logic

In recent years, it has been observed that disclosure of information leads to the risk. Without restrict the accessibility of information providing security is difficult. So, there is a demand of time to fill the gap between security and accessibility of information. In fact, security tools should be usable for improving the security as well as the accessibility of information. Though security and accessibility are not related directly, but some of their factors indirectly affect each other. Attributes play an important role in connecting the gap among security and accessibility. In this paper, finds the main attributes of security and accessibility that impact directly and indirectly each other such as confidentiality, integrity and availability and severity. The significance of every attribute in terms of their weight is important for their effect on the overall security during the big data security life cycle process. To calculate proposed work, researchers used the Fuzzy Analytic Hierarchy Process (Fuzzy AHP).

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Kanika Sharma mail -

Achyut Shankar mail -

Prabhishek Singh mail

link https://doi.org/10.54216/JCIM.050103

Volume & Issue

Vol. Volume 5 / Iss. Issue 1

Details open_in_new