Global Journal of Computer Science and Technology (GJCST)
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Examining a Norwegian Clients Response over Information Security and Privacy Policy
The core purpose of this article is to investigate how different a Norwegian subscriber2019;s point of view about the terminology of understandability, technicality, importance and awareness of privacy policy. Indeed this research article has its demographic limits and was targeted for Norwegian clients but it may suggest a first step to reshape policy for better realization. The emerging ambiguity in information security has raised much privacy and trust issues that are context dependent. Therefore there are several uncertainties and risks seen today concerning the privacy polic
Issues in a Scalable Inter Cloud Environment with Unified Brokering Approach
Cloud Computing providers are currently serving customers throughout the world. Inter- Cloud Computing, where a number of providers come together, has already paved its way, It is meant to address the growing challenges of load balancing and optimal utilization of resources. At the same time, its objectives also include QoS and SLA accomplishment. A centralized Federation of clouds is a confederacy of cloud providers attached to and dependent upon a single unified broker entity. This unified broker acts as a linchpin for the entire system. This paper envisions and elaborates upon the idea of centralized Inter-cloud federation environment. We propose issues open to centralized Inter-Clouds at two levels namely unified broker and the cloud providers
Removal of Power Line Interference from Electrocardiograph (ECG) using Proposed Adaptive Filter Algorithm
ECG signals in measurements are contaminated by noises including power line interference. In recent years, adaptive filters with different approaches have been investigated to remove power line interference in ECG.In this paper, an adaptive filter is proposed to cancel power line interference in ECG signals. The proposed algorithm is experimented with MIT-BIH ECG signals data base. The algorithm2019;s results are compared with the results of other adaptive filter algorithms using Least Mean Square (LMS), Normalized Least Mean Square (NLMS) by Signal to Noise (SNR). Theses works are performed by LabVIEW software
Real Time Kernel based Hot Spot Communication using Raspberry PI
The Real time application of an embedded Linux is essential in the area of device driver platform. Device driver plays a vital role of both hardware and software. Configuration of raspberry Pi Processor in various commands sets in Embedded Linux by enabling of Wi-Fi Device by scratch Process of various units in hardware. More number of devices can be accessed without any problem enabling N number of connections. The development of a kernel is finally changed into an image. That Backup structure will enabled by the Core-image-minimal process
Vascular Innovation Science
Vascular Innovation science are a standout amongst the most approaching innovations which is very secure. In this paperi introduces a study of machine learning techniques utilized for Vascular innovation development applications, and distinguishes significant exploration issues. Basic mission assets and applications require instruments to recognize when honest to goodness clients attempt to abuse their benefits; unquestionably biometrics serves to give such administrations
Factors for Measurement of ITES Quality for Higher Education Institutions in Saudi Arabia
Information technology has blessed the current scientific era with the promising initiatives that are un-match able with the past. The range of impact is diversified in nature and massive in scale. Information Technology Enabled Services (ITES) have emerged over time in many disciplines. ITES are becoming increasingly prevalent in the global economy. Due to the growing importance of ITES Service Science has emerged as a fundamental area in Information Systems (IS) research and it combines technical and managerial knowledge under the umbrella of the more popular interdisciplinary approach of Service Science Management and Engineering (SSME). Along with the emergence of the ITES the question to measure the quality has also arisen. The measurement of ITES quality in different areas requires different factors to be considered. This paper addresses the identification of the factors for measuring the quality of ITES in higher education institutes in Saudi Arabia. The paper unleashes number of factors that can be used to measure the quality of ITES in higher education institutions
The Extent of Involvement in Cybercrime activities among Studentsa in Tertiary Institutions in Enugu State of Nigeria
The researcher investigated the extent of involvement in Cybercrime activities among students2019; in tertiary institutions in Enugu state of Nigeria using cross sectional survey design. Questionnaires were used for data collection. A sample of 175 students was drawn from a population of 18,340 final year students in higher institutions in Enugu State using cluster sampling procedure. The instrument contains 12 items with 4 point scale of Most-times, Sometimes, Seldom and Never. The findings showed that students of higher institutions in Enugu state are involved in cybercrime. It also showed that students2019; involvement in cybercrime is dependent on gender and Institution type. The implication of the finding for knowledge and development is that the present level of students2019; involvement in cybercrime has a negative effect on the value of education and by extension, has lead to the setback in economic development of the State. It was recommended that government should empower the law enforcement agencies to checkmate and deal with perpetrators of cybercrime
Social Mining to Progress the Computational Efficiency using Mapreduce
Graphs are widely used in large scale social network analysis. Graph mining increasingly important in modelling complicated structures such as circuits, images, web, biological networks and social networks. The major problems occur in this graph mining are computational efficiency (CE) and frequent subgraph mining (FSM). Computational Efficiency describes the extent to which the time, effort or efficiency which use computing technology in information processing. Frequent Sub graph Mining is the mechanism of candidate generation without duplicates. FSM faces the problem on counting the instances of the patterns in the dataset and counting of instances for graphs. The main objective of this project is to address CE and FSM problems. The paper cited in the reference proposes an algorithm called Mirage algorithm to solve queries using subgraph mining. The proposed work focuses on enhancing An Iterative Map Reduce based Frequent Subgraph Mining Algorithm (MIRAGE) to consider optimum computational efficiency. The test data to be considered for this mining algorithm can be from any domains such as medical, text and social data2019;s (twitter). The major contributions are: an iterative MapReduce based frequent sub graph mining algorithm called MIRAGE used to address the frequent sub graph mining problem
Intensifying the Security of Multiomodal Biometric Authentication System using Watermarking
In Multimodal biometrics system two or more biometric attributes are combined which makes it far more secure than unimodal system as it nullifies all the vulnerabilities of it. But with the prompt ontogenesis of information technology, even the biometric data is not secure. There is one such technique that is implemented to secure the biometric data from inadvertent or deliberate attacks is known as Digital watermarking. This paper postulate an approach that is devise in both the directions of enlarging the security through watermarking technique and improving the efficiency of biometric identification system by going multimodal. Three biometric traits are consider in this paper two of them are physical traits i.e. ; face, fingerprint and one is behavioral trait (signature).The biometric traits are initially metamorphose using Discrete Wavelet and Discrete Cosine Transformation and then watermarked using Singular Value Decomposition. Scheme depiction and presented results rationalize the effectiveness of the scheme
System Of Linear Equations , Guassian Elimination
In this paper linear equations are discussed in detail along with elimination method. Guassian elimination and Guass Jordan schemes are carried out to solve the linear system of equation. This paper comprises of matrix introduction, and the direct methods for linear equations. The goal of this research was to analyze different elimination techniques of linear equations and measure the performance of Guassian elimination and Guass Jordan method, in order to find their relative importance and advantage in the field of symbolic and numeric computation. The purpose of this research is to revise an introductory concept of linear equations, matrix theorey and forms of Guassian elimination through which the performance of Guass Jordan and Guassian elimination can be measured