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In today's era where almost every task is performed through web applications, the need to assure the security of web applications has increased. A survey held in 2010 shows web application vulnerabilities and SQL Injection attack ranked among top five [1]. SQL Injection attack (SQLIA) is performed by those persons who want to access the database and want to steal, change or delete the data which they do not have permission to access [1]. In SQLIA adversary requests through a malicious query which shows some confidential data [2]. In research, it is also proved that when a network and host-level entry point is highly secured, the public interface provided by an application is the one and only source of SQL injection attack. SQLIA can't be applied without using space, single quotes or double dashes [3]. So to prevent SQLIA, these options are taken in observation. Previous model [10] used JDBC-LDAP library which did not support instances, alias and set operations (UNION and UNION ALL). If a query with injection is accepted by any database which is based on relational approach, then it will be accepted by all databases that are based on relational approach. This paper is focused on SQLIA and its techniques and encounters the shortcoming of previous models. This paper proposed a model which uses two databases one relational and other hierarchical to ensure about injection in a query, compare the results by applying tokenization technique on both databases. If the results are same, there is no injection, otherwise it is present. The proposed model uses a tokenization technique so; query containing Alias, Instances and Set operations can also be blocked at the entry point.

Gait is a behavioral biometrics which has gains more attention for research. Advantages of human gait are that it can be captured from a distance without knowledge of the subject. Gait is defined as manner of person's walking. A wide range of research have been done in this filed so far. In our research work, an approach has been proposed for identification of human being based on their gait. We have evaluated result analysis on CASIA Dataset. We have considered right side view of 17 subjects and three features for result evaluation. In this paper two type of analysis have been done and find out which analysis have given better recognition rate.

Knowledge extraction is the method of extracting some useful information from a set of databases such that the extracted information can be used in a wide variety of applications. Here a brief survey of different techniques of classification for the knowledge extraction is given. Although there are many technique used for the classification but here the knowledge extraction for useful information techniques is presented.

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Now a days, the rate of using digital image is increasing exponentially because of its low cost and easy manipulation property. It is obvious that digital images captured from CCD cameras or other digital image devices have to be analyzed and determined before processing it, to keep the integrity and ensure the accuracy and reliability of the digital image. We need some sort of robust methods and standard procedures that guarantee and strengthen the authenticity of digital image.Image authentication is a technique that analyzes a digital image and determines whether it is altered or not. Image authentication technique is very useful for various organizations such as health care, law enforcement agencies and insurance sector etc. Image authentication is also important in content delivery via untrusted intermediaries, such as peer-to-peer (P2P) file sharing. Untrusted intermediaries might tamper the contents of image. Distinguishing the legitimate diversity of encodings from malicious manipulation is the challenge addressed in this paper. We developed a LDPC and watermark based new approach for image authentication. With the help of this approach we can authenticate images effectively. In our technique, we provide LDPC quantized image projection and the Encrypted image as authentication data. As well as watermark image that was embedded into original image to identify legitimate or illegitimate state of image authentication system. These data can be correctly decoded only with the help of an authentic image as side information. This technique provides the desired robustness against legitimate encoding alteration, while detecting illegitimate variations.