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Research on classifying high dimensional datasets is an open direction in the pattern recognition yet. High dimensional feature spaces cause scalability problems for machine learning algorithms because the complexity of a high dimensional space increases exponentially with the number of features. Recently a number of ensemble techniques using different classifiers have proposed for classifying the high dimensional datasets.

For internet, web application exists and for web application syntax, semantics, coding and design exists, and for coding and designing, algorithm exists, and for algorithm, protecting techniques and rules exists, But as the internet technologies advanced, vulnerability also advanced .Various old procedures, algorithm functions, coding and designing syntax and semantics are there, which are vulnerable to attack and if used could be easily traced or hacked by the attacker. Old practices which are vulnerable should be banned in organization, companies and govt. sectors and secure guidelines should be issued, which consists of security guildelines.and should be strictly followed. In this paper we have proposed coding flaws at different platforms and their solutions.