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Shashi, M.
- Simple Password Protector
Abstract Views :202 |
PDF Views:4
Authors
Affiliations
1 Department of Computer Science & Engineering, R.V.R. & J.C. College of Engineering, Chowdavaram, Guntur, A.P., IN
2 Department of Computer Science & System Engineering, Andhra University College of Engineering, Andhra University, Visakhapatnam, A.P., IN
1 Department of Computer Science & Engineering, R.V.R. & J.C. College of Engineering, Chowdavaram, Guntur, A.P., IN
2 Department of Computer Science & System Engineering, Andhra University College of Engineering, Andhra University, Visakhapatnam, A.P., IN
Source
Data Mining and Knowledge Engineering, Vol 3, No 14 (2011), Pagination: 858-861Abstract
Phishing attacks use email or malicious websites to get personal information by acting as a trustworthy organization. Users are tricked into disclosing their information either by providing it through a web form or by downloading and installing hostile software. The attacker can then use this information for identity theft or fraud. This paper proposes an antiphishing tool. Password protector is described as a browser extension tool, which transparently produces a different password to improve the security of passwords and defend against phishing. This tool appends some generated secret hash code to the original password that converts the original password into secure password.Keywords
Phishing Attack, Antiphishing, Security, Browser Extension, Secret Hash Code.
- Selecting Optimal Weighted Medoids for Clustering
Abstract Views :180 |
PDF Views:2
Authors
Affiliations
1 Department of Computer Science & Engineering, R.V.R. & J.C. College of Engineering, Chowdavaram, Guntur, A.P., IN
2 Department of Computer Science & System Engineering, Andhra University College of Engineering, Andhra University, Visakhapatnam, A.P., IN
1 Department of Computer Science & Engineering, R.V.R. & J.C. College of Engineering, Chowdavaram, Guntur, A.P., IN
2 Department of Computer Science & System Engineering, Andhra University College of Engineering, Andhra University, Visakhapatnam, A.P., IN
Source
Data Mining and Knowledge Engineering, Vol 3, No 14 (2011), Pagination: 873-877Abstract
Clustering is the process of grouping data into clusters. Partitioning is an important clustering method. K-medoids is a classical partitioning method. K-medoids generates k clusters for a dataset of n objects using distance measure. But this algorithm may not be suitable for many real life applications. In addition to distance measure, the medoid selection may depend on many other factors in real life. A new weighted k-medoids algorithm is proposed in this paper to find optimal medoids using a new measure, weights of the medoids.Keywords
K-Medoids, Weighted K-Medoids, Partitioning Clustering, SSE.- Spatial and Temporal Variations of Climate Variables over a River Basin
Abstract Views :158 |
PDF Views:1
Authors
Affiliations
1 National Institute of Technology, Warangal, IN
1 National Institute of Technology, Warangal, IN
Source
Journal of Rural Development, Vol 37, No 2 (2018), Pagination: 383-398Abstract
Variation in the climate acts as an important factor in managing the natural resources in order to meet the needs of human life for present and future generations. Future projections of the climate data obtained from the climate models help in developing the policies for the sustainable use of natural resources. In the present study, changes in the climate variables were assessed both spatially and temporally using Regional Climate Models (RCM) database under Coordinated Regional Downscaling Experiment (CORDEX) from Centre for Climate Change Research (CCCR), Pune, for Krishna river basin, India. Uncertainties in the climate variables were reduced by using Reliable Ensemble Averaging (REA) method. The results suggest that the ability of REA data performs well throughout the basin except in the upper region of the Krishna basin. First future period shows around 20 per cent decrease when compared to the historic period where the other two future periods show a less change in the precipitation.Keywords
Climate Data, Regional Climate Models (RCM), Reliability Ensemble Averaging (REA), River Basin.References
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