Research Cell: An International Journal of Engineering Sciences

Pawan Kumar Tanwar ¹, Ajay Khunteta ², Vishal Goar ³

Affiliations
1 Department of Computer Science, Poornima University, Jaipur, IN
2 Department Computer Science, Poornima University, Jaipur, IN
3 Department of Computer Application, Govt. Engineering College, Bikaner, IN

Abstract

Nowadays, Everything can be searched through the cloud space. Therefore, this article is also dealing with the cloud computing, where searching of information and preservation of privacy is key area of concern. Henceforth taking multi-keyword ranked search with dynamic updation as a dimension of information searching, have been selected it as a research area. Moreover the searching is restricted to single keyword only. Therefore, we have taken the concept of multi keyword ranked searching. One more thing is that efforts have not been made regarding dynamic updation (insertion and deletion etc. of documents) previously. To cover up the dynamic updation part the schemes BDMRS-CM (Basic Dynamic Multi-Keyword Ranked Search scheme in the Known Ciphertext Model) by using the secure kNN algorithm and the EDMRS-BM (Enhanced Dynamic Multi-Keyword Ranked Search scheme in the Known Background Model) were designed and their performance have been evaluated and analyzed.

Keywords

Cloud Computing, Dynamic Updation, Multi-Keyword.

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Pawan Kumar Tanwar ¹, Ajay Khunteta ¹, Vishal Goar ²

Affiliations
1 Department of Computer Science, Poornima University, Jaipur, IN
2 Department of Computer Application, Govt. Engineering College, Bikaner, IN

Abstract

In these days, required information can be searched through the cloud. Henceforth, this paper deals with the cloud computing, where information seeking and privacy preservation are the main area of emphasis. Therefore, keeping multi-keyword ranked search with dynamic updation as an area of data searching (information seeking), have been chosen here as a research dimension. One more thing is that the in most of the cases searching is bounded to unit keyword only. Hence, we have chosen the other dimension of searching which is multi keyword ranking search. Moreover, efforts have not been made in the area of dynamic updation earlier. Here dynamic updation caters the addition and deletion of documents dynamically. For covering the dynamic updation part the scheme SSEDU (searchable symmetric encryption with dynamic updation) has been designed and deployed. In this paper we have presented the efforts made for the performance evaluation of the said SSEDU scheme.

Keywords

Cloud Computing, Dynamic Updation, Multi-Keyword Ranked Search, SSEDU.

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Amit Singla ¹, Vishal Goar ², S. S. Sarangdevot ³

Affiliations
1 J.R.N. Rajasthan Vidyapeeth, Udaipur, IN
2 Govt. Engineering College, Bikaner, IN
3 VC, J.R.N. Rajasthan Vidyapeeth, Udaipur, IN

Abstract

Big data analytics is used to examine large sets of data which may contain diversity of different types of data, it can be used to decrypt cryptic symbiology, correlating previously not known variables, finding the trends in the market, checking preferences of customers and finding out data about various businesses and institutions. The re-sult can be used to conduct informative market strategizing, checking out chances to generate higher income, to pro-vide effective consumer-oriented services, to improve effectiveness of operations and to provide competition-edge over competitors and other institutional profits. The main aim of Big data Analysis is to aid in better and informative decision making for the firms by taking advantage of capable data-scientists, genius model makers as well as other trained scientists to verify chunks of information that may be unused by the traditional programs. It may include ana-lyzing special log and internet based information, internet network data and social-analysis of reports. It can also be used to analyze network records, caller details and other information gathered and operated by IOT devices. It can be used to bind with big data and unstructured data as well as partially structured data.

Keywords

Big Data Analytics, Emotions Mining, Social Media Analytics, User Belief Mining.

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Jitendra Singh Brar ¹, Vishal Goar ², S. S. Sarangdevot ¹

Affiliations
1 JRN Rajasthan Vidyapeeth, Udaipur, IN
2 Govt. Engineering College Bikaner, IN

Abstract

The Source Code quality and understandability entirely depends on the comments specified at appropriate locations. The current paradigms do not propose any metric or methodology that is useful for checking the source comments quality. The proposed model and empirical parser based implementation emphasize the efficient and meaningful usage of code comments in the source code regardless of the language or script. In this research work, the empirical and pragmatic evaluation of the source understandability and the escalation is done using survey based analytics. The source code comments and understanding factors are taken into the consideration so that the reusability of the source code can be increased. The key parameters for evaluation of source code include cohesion, coupling and the type of source code. The type of source code is having the flavor of procedural or object oriented paradigm so that any type of source code with its inherent feature points can be analyzed and predicted.

Keywords

Source Code Understanding, Software Metrics, Software Quality, Software Reusability.

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