R. Umarani

Nethradhama Superspeciality Eye Hospital

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Co-Authors

G. Ramesh

Bharathiar University

C. Gayathri

Mahindra Group (India)

V. Agnes Idhaya Selvi

Kalasalingam Academy of Research and Education

M. Geetha

St. Joseph's Institute of Technology

T. Balasubramanian

Seva Mandir

T. Lalitha

Presidency University

K. Sridevi

GITAM University

R. Kiruthika

National Institute of Technology Tiruchirappalli

K. Vanaja

Bhat Rohini

Berlin Mathematical School

Cooperative Institutions

Anna University, Chennai

University of Engineering and Technology Taxila

ASA College

Mother Teresa Women's University

Abdelmalek Essaâdi University

Tamil Nadu Agricultural University

Nethradhama Superspeciality Eye Hospital

Kalasalingam Academy of Research and Education

Institute of Science and Technology

Sathyabama Institute of Science and Technology

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DATA SECURITY IN LOCAL AREA NETWORK BASED ON FAST ENCRYPTION ALGORITHM

ICTACT Journal on Communication Technology (2010)

G. Ramesh R. Umarani

Hacking is one of the greatest problems in the wireless local area networks. Many algorithms have been used to prevent the outside attacks to eavesdrop or prevent the data to be transferred to the end-user safely and correctly. In this paper, a new symmetrical encryption algorithm is proposed that prevents the outside attacks. The new algorithm avoids key exchange between users and reduces the time taken for the encryption and decryption. It operates at high data rate in comparison with The Data Encryption Standard (DES), Triple DES (TDES), Advanced Encryption Standard (AES-256), and RC6 algorithms. The new algorithm is applied successfully on both text file and voice message.

Hacker

10.21917/ijct.2010.0018

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Citations (1)

A Survey of Semantic based Solutions to Web Mining

K. Sridevi R. Umarani

An effective retrieval of the most relevant documents from the Web is difficult due to the large amount of information in all types of formats. Researches have been conducted on ways to improve the efficiency of Information Retrieval (IR) systems. To arrive to suitable solutions in IR systems, machines need additional semantic information that helps in understanding Web documents. This is made true by an intelligent web called the Semantic Web, which offers users the ability to work on shared meaningful knowledge representations on the web. Semantic Web makes the Web content meaningful to computers and it intends to support machine-processing capabilities. Using Semantic Web is a way to increase the precision of IR systems. This paper focuses on the various Semantic-based approaches in Web mining research.

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Clustering as a Data Mining Technique in Health Hazards of High levels of Fluoride in Potable Water

International Journal of Advanced Computer Science and Applications (2012)

T. Balasubramanian R. Umarani

This article explores data mining techniques in health care. In particular, it discusses data mining and its application in areas where people are affected severely by using the under- ground drinking water which consist of high levels of fluoride in Krishnagiri District, Tamil Nadu State, India. This paper identifies the risk factors associated with the high level of fluoride content in water, using clustering algorithms and finds meaningful hidden patterns which gives meaningful decision making to this socio-economic real world health hazard. [2]

Tamil

Health hazard

Potable water

K-Means Clustering

10.14569/ijacsa.2012.030228

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Citations (2)

The Design and Implementation of On-Line Examination Using Firewall security

IOSR Journal of Computer Engineering (2014)

V. Selvi Ravi Sankar R. Umarani

Online Examination System is a software solution, which allows a company or institute to arrange, conduct and manage examinations via an online environment.This can be done through the Internet, Intranet and/or Local Area Network environments.In this paper propose a system that provides security to improve online Examination by utilizing DMZ Concept in firewall technology.This research paper, discuss the performance of online exam with respect to the security provided by the firewall technology.This paper concludes that by improving the security system using a firewall that can be incorporated into the proposed system to fulfil the challenge of online examination system.We proposed a system using firewall technology to monitor candidates and control network packets of all machines incorporating the username and password for authentication.This paper provides an overview of online Examination System using firewall technologies.

Firewall (physics)

10.9790/0661-16652024

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Citations (15)

Thwarting Distributed Denial Of Service Attacks Using Normal Distribution And Wei-bull Theorem

International Journal of Engineering Research and (2012)

V.Shyamala Devi R. Umarani

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Analysis of Crime Against Women Data Using Machine Learning and Statistical Methods

Advances in web technologies and engineering book series (2025)

P. Tamilarasi R. Umarani T. Jayasudha Yusliza Yusoff C. Kumuthini

Analyzing, cleaning, manipulating, and modelling datasets to conclude the data they include is the process known as data analytics. Qualitative and quantitative data analysis are two more categories into which data analytics may be separated. The scientific and mathematical study of algorithms is known as machine learning (ML). Crime against women has grown to be a major issue. Numerous nations are always working to avoid this offence, which is something that must be done. Crimes against women have increased dramatically in recent years. Every year, a massive dataset is created based on the reporting of crimes. To a certain extent, this data can help us prevent crime by analyzing and forecasting it. The crime rate against women is predicted in this chapter using a variety of statistical techniques, including the correlation coefficient ANOVA, and hypothesis testing with ML models in Python, including linear regression. The results are finally presented based on the performance of the ML algorithms using evolution metrics, such as MAE, MSE, and R2.

10.4018/979-8-3693-7868-7.ch004

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Challenges and Solutions for Manufacturing Products Using Advanced Enterprise Data Mining Approaches

M. Srimathi R. Umarani

Objectives: The major intention of this investigation is to increase the accuracy of manufacturing enterprises using efficient data mining techniques. This scenario also intends to accomplish the higher performances by reducing the challenges and producing the potential solutions. Methods: In this research, k-nearest neighbor (kNN), Naive bayes (NB), C4.5 and J48 algorithms are used to evaluate the medical database, transactional database and agricultural database. This scenario considers the feature extraction and feature selection to improve the accuracy of system. Findings: The algorithms are used in this work namely kNN, NB, C4.5 and J48 algorithms are used to improve the manufacturing performances. The experimental results are shown that the J48 classification algorithm is superior to other algorithms such as kNN, NB and C4.5. These techniques are improved in terms of all performance metrics called accuracy, precision and recall values. Application/Improvements: The findings demonstrate that accuracy performance is improved significantly by using J48 algorithm in this scenario. The data mining algorithms are used to reduce the challenges tremendously and provide optimal solutions for manufacturing enterprises.

C4.5 algorithm

Statistical classification

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An Overview of Multi Point Relay AODV in Mobile Ad hoc Network

M. Geetha R. Umarani

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Diagnostic Analytics on Agriculture with Fuzzy Classification

Advances in environmental engineering and green technologies book series (2019)

R. Umarani R. Suguna

Agriculture is the main domain and need of India. The country is second place in the world in agriculture. Cropping is the main part of agriculture. Various crops like millets, fruits, vegetables, oil seeds are produced and exported to other countries every year. So, various innovative technologies are used to improve the productivity of crops in agriculture. Rainfall is most important for growing crops. The water level for the crops based on rainfall has some uncertainty. Fuzzy regression analysis is one of the methods based on regression analysis that is used to handle fuzzy parameters and crisp data and vice versa. Linear fuzzy regression is one of the methods of fuzzy regression analysis to handle fuzzy parameters. This chapter explores fuzzy classification, which is based on fuzzy regression analysis, and it is compared with other classification algorithms on the agriculture data.

10.4018/978-1-5225-9175-7.ch005

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Citations (2)

Performance Analysis of Most Common Encryption Algorithms on Different Web Browsers

International Journal of Information Technology and Computer Science (2012)

G. Ramesh R. Umarani

The hacking is the greatest problem in the wireless local area network (WLAN).Many algorithms like DES, 3DES, AES,UMARAM, RC6 and UR5 have been used to prevent the outside attacks to eavesdrop or prevent the data to be transferred to the end-user correctly.We have proposed a Web programming language to be analyzed with five Web browsers in term of their performances to process the encryption of the programming language's script with the Web browsers.This is followed by conducting tests simulation in order to obtain the best encryption algorithm versus Web browser.The results of the experimental analysis are presented in the form of graphs.We finally conclude on the findings that different algorithms perform differently to different Web browsers like Internet Explorer, Mozilla Firefox, Opera and Netscape Navigator.Hence, we now determine which algorithm works best and most compatible with which Web browser.A comparison has been conducted for those encryption algorithms at different settings for each algorithm such as encryption/decryption speed in the different web Browsers.Experimental results are given to demonstrate the effectiveness of each algorithm.

Web browser

10.5815/ijitcs.2012.12.06

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Citations (10)