International Journal for Rapid Research in Engineering Technology & Applied Science Beta

ISSN (Online): 2455-4723



Notice Board :

Call for Paper
Vol. 10 Issue 2

Submission Start Date:
February 1, 2024

Acceptence Notification Start:
February 10, 2024

Submission End:
February 15, 2024

Final MenuScript Due:
February 25, 2024

Publication Date:
February 29, 2024


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                         Notice Board: Call for PaperVol. 10 Issue 2      Submission Start Date: February 1, 2024      Acceptence Notification Start: February 10, 2024      Submission End: February 15, 2024      Final MenuScript Due: February 25, 2024      Publication Date: February 29, 2024




Volume III Issue III

Paper Title
A Novel Approach using both Encryption and Graphical Passwords for Artificial Intelligence Security Threats
Author Name
Rohit Vibhandik, Nisha Bhati
Year Of Publication
2017
Volume and Issue
Volume 3 Issue 3
Abstract
Most security based systems of primitives rely on the use of complex mathematical problems to be solved by attackers using either brute force of back engineering to decipher confidential information or credentials. The success of such algorithms lies in the fact that how quickly the attacking computation outruns the rate at which the complexity of the algorithm grows.[1] In this paper, a novel multiple encryption security primitive is proposed which is based on captcha for securing confidential paradigms which uses a dynamic modelling of the number of captcha images as well as the number of co-ordinates for securing entries or log-ins. It has been shown that such a mechanism has a much higher level of security compared to previously used mechanisms.
PaperID
2017/IJRRETAS/3/2017/20610

Paper Title
Resource Scheduling in cloud Computing Using Genetic Algorithm
Author Name
Kiran Chhabra, Prof. Kapil Sahu
Year Of Publication
2017
Volume and Issue
Volume 3 Issue 3
Abstract
Cloud computing is a distributed environment where various efficient computing engines are help to execute the clients request. Due to the unpredictable nature of work load in the cloud servers load balancing techniques are help to manage the work load and handle the request. The proposed work is intended to find the most appropriate algorithm for handling the work load on these servers. Therefore a comparative study is conducted in this proposed work. For performing the comparative study the data center load is evaluated using by modified Genetic algorithm distributed load scheduling scheme and implementation is in Cloud Simulator with performance evaluation.
PaperID
2017/IJRRETAS/4/2017/20612

Paper Title
Secure Cloud Bursting, Brokerage, Aggregation using AES Encryption and One Time Authentication Password
Author Name
Pooja Keshare, Prof. Kapil Sahu
Year Of Publication
2017
Volume and Issue
Volume 3 Issue 3
Abstract
Cloud bursting is an application deployment model during which an application runs in the private cloud or data center and bursts into public cloud when the actual demand for computing capacity spikes. The advantage of this type of hybrid cloud deployment is make fish an organization only pays with regard to extra compute resources when they are needed. Some organization create own private cloud are interested in leveraging cloud bursting. Conventionally some architecture has run application workload fully in private cloud till workload is not over the threshold value. After cross the threshold value application burst into public cloud for additional compute resources. In this paper, we proposed bridge between multiple clouds and deal with cost and security issue relating to communication between public and private clouds. We extend Security for Computing Cloud Bursting and Aggregation Applying AES encryption, One Time password. We also used secure sharing mechanism so your cloud resou
PaperID
2017/IJRRETAS/4/2017/20613

Paper Title
Performance comparison of Image watermarking using wavelet transform for different colour component of cover image
Author Name
Jyoti Jain, Dr. Pankaj Dashore
Year Of Publication
2017
Volume and Issue
Volume 3 Issue 3
Abstract
The Performance of the DWT based watermarking technique has been established by many researchers. The embedding performance is highly different on the disturbance in the colour components of a cover image. In this paper, the performance of watermarking on embedding side and recovering side has been demonstrated with use of red green and blue part of image separately. The performance comparison in terms of RMSE, PSNR and normalized cross correlation coefficient has been given. The effect of embedding gain is established for all these parameters are given in the paper.
PaperID
2017/IJRRETAS/4/2017/20614

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