Web application has various input functions which are susceptible to SQL-Injection attack. SQL-Injection occurs by injecting suspicious code or data fragments in a web application.Personal information disclosure ,loss of authenticity, data theft and site fishing falls under this attack category. It is impossible to check original data code and suspicious data code using available algorithms and approaches because of inefficient and proper training techniques of dataset or design aspects. In this paper we will use SVM (Support Vector Machine) for classification and prediction of SQL-Injection attack. In our propose algorithm, SQL-Injection attack detection accuracy is (96.47% and which is the highest among the existing SQL-Injection detection Techniques.
The data generated at an exponential rate has resulted in Big Data. This data has many characteristics and consists of structured, unstructured, and semi-structured data formats. It contains valuable information for the different types of stakeholders based on their need however it is not possible to meet them with the help of traditional tools and techniques. Here the big data technologies play a crucial role to handle, store, and process this tremendous amount of data in real-time. Big data analytics is used to extract meaningful information or patterns from the voluminous data. It can be further divided into three types i.e. text analytics, audio analytics, video analytics, and social media analytics. Big data analytics if followed by big data analysis process plays a significant role in generating meaningful information from big data. Big data analysis process consists of data acquisition, data storage, data management, data analytics, and finally data visualization. However, it is not simple and brings many challenges that need to be resolved. This paper presents the issues and challenges related to big data, prominent characteristics of big data, big data analytics, big data analysis process, and technologies used for processing the massive data.
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