Search the repository

A+ | A- | | SLO | ENG

Abstract: Technological advancements in the field of multimedia have made access to information effortless. As information is available easily to everyone so it is quite essential to shield secretive data. This paper focuses on encrypting videos using confusion and diffusion at various levels. Chaotic skew tent map and nested piecewise linear chaotic map which are categorized under piecewise linear maps have been used for the processing. Two skew tent maps are cross coupled with each other to generate random values. The binary sequences are generated by comparing the outputs of the cross coupled piecewise linear chaotic maps. The generated binary sequence is used for bit level diffusion. Further, pixels are shuffled to provide higher level of encryption. The ciphered video is of the same size as that of plain video. The proposed scheme is of low complexity and provides high level encryption. The security analysis of the technique has been carried out and better results have been found regarding the statistical and differential attacks. The code development has been done in MATLAB and the scheme is applicable in areas like Video Encryption, Steganography and Digital Watermarking on various lightweight devices.
Keywords: video processing, multimedia encryption, chaotic maps, lightweight device security
Published in RUNG: 01.04.2021; Views: 1914; Downloads: 0
This document has many files! More...

Abstract: Rural Kiosks are important infrastructural pillar in rural regions for internet and basic technology facility all around the world. They are also known as Tele-centers or Common Service Centers and are majorly used by government to promote Electronic Governance. The major characteristic of setting up of Rural Kiosk is their appropriate location so that people from rural region can avail the services at minimum travel cost and time. There are lot of traditional schemes used by researchers in past for location allocation but this paper proposes the usage of Fuzzy C-Means clustering and BAT algorithm to optimize the location of Rural Kiosk. The meta-heuristic approach has produced better results as compared to normal graph theories in past. The experiment has been conducted on a random data set of 72 village locations from India and their clusters are formed. It is found that using only Fuzzy C-Means clustering to allocate the center and by using it in combination with BAT algorithm produced up to 25% of efficient results. This can drastically help the key stakeholders in allocation of these Rural Kiosks at right places so as to maximize their utility.
Keywords: BAT algorithm, location allocation, rural kiosks, fuzzy C-means, e-governance, tele-centers, common service centers
Published in RUNG: 01.04.2021; Views: 1903; Downloads: 0
This document has many files! More...

Abstract: With the rapid rise of technology, many unusual and unwanted patterns have been observed in the communication network andrespective systems. This may be attributed to the increase of external threats that cause many security concerns. Such anomalies and unusual behavior lead to a strong need of studying and designing the Intrusion Detection Systems and Clustering. Currently,a variety of clustering methods and their combinations are used to develop an efficient intrusion detection system, but some metrics like low detection rate and high false alarm rate make these models unsatisfactory. The problem of local minima for clustering technique makes their search ability less efficient. An evolutionary technique called particle swarm optimization algorithm, that is based on swarm intelligence, shows a high global maxima search capability. In this paper, these two techniques have been combined to present a novel approach called fuzzy based particle swarm algorithm for the implementation of intrusion detection system. The experiment was conducted on a new data set called Kyoto data set with more number of anomalies. The obtained results were compared with two traditional clustering techniques based on K-Means and Fuzzy C-Means. It was observed that the proposed algorithm outperformed the other two traditional methods on the basis of the Detection Rate and False Alarm rate. In past some researchers have presented the combination of Fuzzy Based Particle Swarm Optimization algorithm to improve the intrusion detection rate,but this rate has been further improved because the algorithm performance depends on the termination condition and the fitness function value which are new in the proposed algorithm. Moreover, cluster numbers have been considered differently in the past, whereas the proposed algorithm works only on binary clustering.
Keywords: intrusion detection, fuzzy C-means clustering, particle swarm optimization, detection rate, e-governance
Published in RUNG: 01.04.2021; Views: 1893; Downloads: 0
This document has many files! More...

Abstract: This study focuses on knowing about the factors that can affect the trust levels of the consumers involved in online shopping. Trust has been identified as a prominent factor that ultimately leads to the transformation of the apprehensive customers into willing customers. The role of website design features and portal affiliation is tested regarding their impact in affecting the trusting beliefs of the customers. Structural Equation Modeling (SEM) was put to use to do the statistical testing on the data collected through students of tier III city of India. The results showed that the website design features have an important role to play in affecting the trusting beliefs of the people whereas portal affiliation didn’t have much of a role. The study implies that the website managers must focus on their design features if they want to gain the trust of their customers. The portal affiliation wouldn’t be fruitful in the case of a student at least. Better shoppers amongst students must be attracted towards portals through innovative designs and features.
Keywords: online shopping, building trust, website design features, portal affiliation, structural equation modelling, theory of reasoned action
Published in RUNG: 01.04.2021; Views: 1796; Downloads: 0
This document has many files! More...

Abstract: E-governance has proven to be instrumental in the expansion and evolution of how governments interact with and deliver services to their citizens. The United Nations (UN) E-Governance Development Index (EGDI) is the most widely used metric for assessment of e-governance development; however, this metric is not appropriate for assessment at the regional level, especially for developing nations. Therefore, the authors have studied various factors in the context of developing nations, such as the Online Availability and Performance Index, Telecommunications Index, Human Capital Index, E-governance-related Infrastructure Index, and E-governance Performance Index, with the aim of analyzing the success and implementation rate of e-governance activities across the different regions of a developing nation like India. The results showed that the UN's EGDI is not suitable for assessment at a regional level and that adding new components to the model helps to achieve better results for around 30% of the regions under study. The rankings, which were calculated through the new model and compared against other standard indices, obtained good correlations, proving the validity of the new model. India, as a developing nation, was the region selected for the experimental work. Central governments, state governments, investors, stakeholders, and government consultants can obtain benefits through this research.
Keywords: e-governence, India, e-governance development index
Published in RUNG: 01.04.2021; Views: 1883; Downloads: 47
Link to full text
This document has many files! More...