Global Journal of Computer Science and Technology (GJCST)
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Exploring Predicate Based Access Control for Cloud Workflow Systems
Get PDFAuthentication and authorization are the two crucial functions of any modern security and access control mechanisms. Authorization for controlling access to resources is a dynamic characteristic of a workflow system which is based on true business dynamics and access policies. Allowing or denying a user to gain access to a resource is the cornerstone for successful implementation of security and controlling paradigms. Role based and attribute based access control are the existing mechanisms widely used. As per these schemes, any user with given role or attribute respectively is granted applicable privileges to access a resource. There is third approach known as predicate based access control which is less explored. We intend to throw light on this as it provides more fine-grained control over resources besides being able to complement with existing approaches. In this paper we proposed a predicate-based access control mechanism that caters to the needs of cloud-based workflow systems
On Database Relationships versus Mathematical Relations
Get PDFUnfortunately, the widespread used one-to-many, many-to-one, one-to-one, and many-tomany database relationships lack precision and are very often leading to confusions that affect the quality of conceptual data modeling and database design. This paper advocates replacing them with the rigorous math notions of relations and (one-to-one) functions
Artificial Intelligence and Customer Communication
Get PDFThere is a rapid increase in the usage of artificial intelligence in the most recent decade. Use of Artificial Intelligence in the customer interaction is gaining traction in the market. It is saving a lot of money because chat bots are taking away the need of physical resources. Best utilization of AI is past the customary contact focus, where an organization's administration impression becomes exponentially. When one considers the aggregate entirety of keen gadgets in an organization today that can convey data about clients and their items to the cloud, an extraordinary wellspring of client administration information is accessible to influence
The Generalized Estimating Equations for the Unknown Correlation Structure of the Data
Get PDFIn many study the data are taken different period of time and the information about them is gathered relating to an event of concern at different time periods. The data are taken different time period are correlated. Regression analysis based on the Generalized Estimating Equation (GEE) is an increasing important method of such data. The Generalized Estimating Equation is an important and widely used approach in such analysis. Since the true correlation is unknown GEE offers to take a working correlation for analysis. In our study we consider four common correlation structure namely, independent, exchangeable, pair wise, autoregressive. In the study the data are taken from the Dhaka stock exchange (DSE) this data are highly correlated. At first we apply different methods of estimating parameter the we apply GEE for estimating the parameters. Finally we get the GEE gives better estimate than any other method
An Empirical Model for Thyroid Disease Classification using Evolutionary Multivariate Bayseian Prediction Method
Get PDFThyroid diseases are widespread worldwide. In India too, there is a significant problems caused due to thyroid diseases. Various research studies estimates that about 42 million people in India suffer from thyroid diseases [4]. There are a number of possible thyroid diseases and disorders, including thyroiditis and thyroid cancer. This paper focuses on the classification of two of the most common thyroid disorders are hyperthyroidism and hypothyroidism among the public. The National Institutes of Health (NIH) states that about 1% of Americans suffer from Hyperthyroidism and about 5% suffer from Hypothyroidism. From the global perspective also the classification of thyroid plays a significant role. The conditions for the diagnosis of the disease are closely linked, they have several important differences that affect diagnosis and treatment. The data for this research work is collected from the UCI repository which undergoes preprocessing. The preprocessed data is multivariate in nature. Curse of Dimensionality is followed so that the available 21 attributes is optimized to 10 attributes using Hybrid Differential Evolution Kernel Based Navie Based algorithm. The subset of data is now supplied to Kernel Based NaEF;ve Bayes classifier algorithm in order to check for the fitness
To Enhance the OTP Generation Process for Cloud Data Security using Diffie-Hellman and HMAC
Get PDFCloud computing is an innovation or distributed network where user can move their data and any application programming on it. In any case, there is a few issues in cloud computing, the main one is security on the grounds that each user store their helpful data on the network so they need their data ought to be protected from any unapproved access, any progressions that is not done for user's benefit. There are diverse encryption methods utilized for security reason like FDE and FHE. To tackle the issue of Key management, Key Sharing different plans have been proposed. The outsider auditing plan will be fizzled, if the outsider's security is bargained or of the outsider will be malicious. To tackle this issue, we will chip away at to design new modular for key sharing and key management in completely Homomorphic Encryption plan. In this paper, we have utilized the symmetric key understanding algorithm named Diffie Hellman, it is key trade algorithm with make session key between two gatherings who need to speak with each other and HMAC for the data integrity OTP(One Time Password) is made which gives more security. Because of this the issue of managing the key is expelled and data is more secured
Multimodal Biometrics Enhancement Recognition System based on Fusion of Fingerprint and PalmPrint: A Review
Get PDFThis article is an overview of a current multimodal biometrics research based on fingerprint and palm-print. It explains the pervious study for each modal separately and its fusion technique with another biometric modal. The basic biometric system consists of four stages: firstly, the sensor which is used for enrolmen
Mathematical Research in Digital Age
Get PDFThe time when someone can do real, publishable mathematics completely without the aid of a computer is coming to a close; the use of computers in mathematical research is both widespread and under-acknowledged. Mathematicians use computers in a number of ways. This paper highlights the importance of mathematics and digital age in today2019;s technological advancement; it also explains the influence of digital age on Mathematics research. Key areas where Information and Communication Technology can be applied to Mathematical research are discussed. To demonstrate the use of computer program on Mathematical analysis, some problems were solved analytically and were also solved using computer programs (Mathlab and Python). These two procedures are compared and it is clearly shown that using computer packages to solve Mathematical problems are more efficient, easier and accurate
Energy Efficient Elliptical Curve based Spherical Grid Routing Protocol for Wireless Sensor Networks
Get PDFThe Wireless Sensor Network (WSN) is a collection of no. of mobile nodes which communicate through wireless channel without any existing network infrastructure. Because the resource constrained nature of WSN a data packet routing requires multiple hops to exchange data across the network. In order to facilitate communication within the network, a secure energy efficient routing protocol is used to discover routes between nodes. The proposed energy efficient elliptical curve based spherical grid routing protocol for WSN provides correct and efficient route establishment between a pair of nodes so that data packets can be delivered in time to the destination. Secure route construction can be done with optimized WSN performance matrices such as packet delivery ratio, throughput, minimum energy consumptions, communication overhead
A Review on Vessel Extraction of Fundus Image to Detect Diabetic Retinopathy
Get PDFOphthalmology is an important term of medical field, which helps to visualize various diseases and treat them accordingly. Fundus images are processed so as to treat diseases like glaucoma, vein occlusions, and diabetic retinopathy (DR), obesity, glaucoma etc. There are types of supervised and unsupervised types of algorithms used so as to segment the Fundus images. There are three types of datasets available DRIVE, STARE and CHASE_DB1. These data sets are being segmented with the help of Laplace operator. This method makes preprocessing of images by using adaptive histogram equalization by CLAHE algorithm. The first step is to extract green channel and segment this image by using Laplace operator. Thus it helps to enhance extraction of blood vessels from fundus image. The detected blood vessels and measurement of these vessel is used for diagnosis of Diabetic Retinopathy (DR) and other eye diseases