Current Trends in Information Technology
Volume 4, Issue 1 (2014)
Published
Table of contents
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A Survey on Different Approaches of Attribute based Encryption For Cloud File System
Abstract: Cloud computing has emerged as a solution for organizations that desire services on lease. It enables convenient and on-demand network access to a centralized pool of configurable computing resources. Among many of its applications, File distributing and sharing is one of the most commonly used services in cloud computing. The requirement of data security grows with the faster growing cloud computing. One feasible solution is Attribute based encryption (ABE). In …
Published in Current Trends in Information Technology · Vol. 4, Issue 1, 2014 · pp. 1–3 Read article
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Time Base Modulation Approach to Audio Watermarking
Abstract: Normal 0 false false false EN-US X-NONE X-NONE MicrosoftInternetExplorer4 A new method is presented for inaudibly hiding information in an audio signal by subtly applying time-scale modification to segments of the signal. The sequence, duration, and degree of the time-scale modifications are the parameters which encode information in the altered signal. By comparing the altered signal with a reference copy, compressed and expanded regions can be identified and the hidden …
Published in Current Trends in Information Technology · Vol. 4, Issue 1, 2014 · pp. 14–20 Read article
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Twitter based TV Rating Analysis with TV-viewing and Sentiment Analysis
Abstract: Social Media is now used as a back channel to TV programs by viewers who would like to express their opinion about watching programs or just simply put on records of TV viewing. TV viewing rate is a critical indicator regarding the popularity of programs.Now a day’s social media is generally used to gather crowd sentiments to gather this information. Current methodologies based on Neilsen TV ratings adopt small sample …
Published in Current Trends in Information Technology · Vol. 4, Issue 1, 2014 · pp. 21–28 Read article
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Performance Analysis of Fusion Classifier of Face Recognition System based on ANN and GA
Abstract: Though a lot of significant work has been done for recognizing and improving the performance in facial pattern, most techniques have been developed based on a single classifier. But most often, the performance of the classifier is not satisfactory in some case. It has been proposed that the performance of face recognition will beimproved by fusing two or more classifiers. We can combine the information/data in different level i.e., feature …
Published in Current Trends in Information Technology · Vol. 4, Issue 1, 2014 · pp. 4–13 Read article