Informatics Publishing Limited

M. Chandran , A. V. Ramani ¹

Affiliations
1 SRMV CAS, Coimbatore, Tamilnadu, IN

Abstract

Website quality evaluation can be made based on creating site map for the WebPages for a single website which works properly. A website is taken for the analysis where we check every link under that website are checker and split it according to status code. By analyzing every status code from all those webpage links, we are ignoring every other link except the page contains status code 200. Then we are developing the sitemap for those links which is working perfectly.

Keywords

Sitemap, Website, Search Engine Optimization, SMGA.

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M. Chandran ¹

Affiliations
1 Department of Master of Computer Applications, SRMVCAS, Coimbatore, IN

Abstract

Random based Testing is the practice of using randomization for some aspects of test input data selection. Random based unit testing is unit testing where there is some randomization in the selection of the target method call sequence Software testing involves running a piece of software on selected input data and checking the outputs for correctness. The optimization techniques for GA tools Using feature subset selection techniques; It is able to achieve high coverage of complex, real-world Java units, while retaining the most desirable feature of randomized testing, the ability to generate many new high-coverage test cases quickly.

Keywords

Software Testing, Genetic Algorithms, Test Automation, Unit Testing.

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M. Chandran ¹, K. Karthika ²

Affiliations
1 Department of Computer Application, Sri Ramakrishna Mission Vidyalaya College of Arts and Science, IN
2 Sri Ramakrishna Mission Vidyalaya College of Arts and Science, IN

Abstract

As the Web and its usage continues to grow, so grows the opportunity to analyze Web data and extract all manner of useful knowledge from it. The past nine years have seen the emergence of Web mining as a rapidly growing area, due to the efforts of the research community as well as various organizations that are practicing it. The various works proposed in this area with particular emphasize on web usage mining. In the present work, the application of clustering to extract user navigation behaviour pattern is probed and the methods and techniques used are explained in the Methodology. Experiments were conducted on a Pentium IV system with 512MB memory, running in Windows environment. The application was developed in MATLAB 7.3. The results of this study are divided into the following sections: Preprocessing results, Pattern Discovery and Performance Analysis.

Keywords

World Wide Web, Web Usage Mining, Clustering, Classification, Fast Longest Common Subsequence.

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M. Sithara ¹, M. Chandran ², G. Padmavathi ³

Affiliations
1 Department of Computer Science, SRMV College of Arts and Science, Coimbatore-20, IN
2 Department of Computer Applications, SRMV College of Arts and Science, Coimbatore-20, IN
3 Department of Computer Science, Avinashilingam Institute for Home Science and Higher Education for Women University, Coimbatore-43, IN

Abstract

With trends and technologies, developments and deployments, network communication has become vital and inevitable with human beings. On the other side, a network communication without security is powerless. There are so many technologies and developments have been ischolar_mained to provide a secure and an efficient means of communication through network. Parallel to this, network threats and attacks are also trendy and much technologized. In order to detect such a kind of threats and attacks, this research work proposes honeypot technology. Honeypot is a supplemented active defense system for network security. It traps attacks, records intrusion information about tools and activities of the hacking process, and prevents attacks outbound from the compromised system. This research work implements a kind of honeypot called Secure Shell (SSH) honeypot. SSH honeypot is a secure communication channel which allows users to remotely control computer systems. With the implementation of SSH honeypot, this research work collects the incoming and outgoing traffic data in a network. The collected traffic data can be then analyzed to detect outliers in order to find the abnormal or malicious traffic. This research work detects outliers from the collected SSH honeypot data using Particle Swarm Optimization technique which belongs to the category of cluster-based outlier detection method. With experiments and results, Particle Swarm Optimization shows best results in detecting outliers and has best cost function when compared to other cluster-based algorithms like Genetic Algorithm and Differential Evolution algorithm.

Keywords

Differential Evolution, Genetic Algorithm, Honeypots, Particle Swarm Optimization, Secure Shell.

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S. Gunaseelan ¹, M. Chandran ²

Affiliations
1 VELS Institute of Science, Technology and Advanced Studies, Pallavaram, Chennai, IN
2 Department of Commerce, VELS Institute of Science, Technology and Advanced Studies, Pallavaram, Chennai, IN

Abstract

The present research paper envisaged the financial performance persisted in the small jewellery merchants in the Cuddalore district has been identified in certain factors. Such as present net worth asset and liabilities present worth of the asset fixed cost per annum variable cost per annum financial assistant in the business start financial bank loan and relative problems by purchase, cost of production, and competition, fashion problems by changing fashion and traditional way of grafting, labour problems by lack of training facilities to unsatisfied working conditions, financial problem, and pricing problem, The primary data have been collected from the identified SJM and analyzed. The results and findings of the study will implicate the SJM and the general public.

Keywords

Jewellery Merchants, Ornamental Usage, Retail Merchants.

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