Secured Client Portal

This project is aimed at developing an online search Portal for the Placement Department of the college. The system is an online application that can be accessed throughout the organization and outside as well with proper login provided. This system can be used as an Online Job Portal for the Placement Department of the college to manage the student information with regards to placement. Students logging should be able to upload their information in the form of a CV. Visitors/Company representatives logging in may also access/search any information put up by Students

SQLSCAN: A Framework to Check Web Application Vulnerability

Security vulnerabilities in web applications that are being found today are much higher than in any operating systems. So it clearly means that threats intended at web applications are utilizing vulnerabilities at the application. Simultaneously, amount and impact of security vulnerabilities on web applications has increases as well. Almost in all online transactions user access is authorized before providing access to database of application. But organized injection could provide entry to unauthorized users and it almost achieved via SQL injection and Cross-site scripting (XSS). In this article we provide a web vulnerability scanning and analyzing tool of various kinds of SQL injection and Cross Site Scripting (XSS) attacks named as SQLSCAN. Our proposed method will work with web application developed on any technology like PHP, JAVA, ASP .NET. We evaluate our proposed scanner by experiments to calculate its performance. We also evaluate the performance of SQLSCAN with performance of parallel tools in the literature. Keywords: Web Application security, Attack, Injection, SQL, XSS, Vulnerability, Scanner.

Web Security Detection Tool

According to Government Computer News (GCN) web attacks have been marked as all- time high this year. GCN says that some of the leading security software like SOPHOS detected about 15,000 newly infected web pages daily in initial three months of 2008 [13]. This has lead to the need of efficient software to make web applications robust and sustainable to these attacks. While finding information on different types of attacks, I found that SQL injection and cross site scripting are the most famous among attackers. These attacks are used extensively since, they can be performed using different techniques and it is difficult to make a web application completely immune to these attacks. There are myriad detection tools available which help to detect vulnerabilities in web applications. These tools are mainly categorized as white-box and black-box testing tools. In this writing project, we aim to develop a detection tool which would be efficient and helpful for the users to pinpoint possible vulnerabilities in his/her PHP scripts. We propose a technique to integrate the aforementioned categories of tools under one framework to achieve better detection against possible vulnerabilities. Our system focuses on giving the developer a simple and concise tool which would help him/her to correct possible loopholes in the PHP code snippets

Advanced Automated Web Application Vulnerability Analysis

Web applications are an integral part of our lives and culture. We useweb applications to manage our bank accounts, interact with friends,and file our taxes. A single vulnerability in one of these webapplications could allow a malicious hacker to steal your money, toimpersonate you on Facebook, or to access sensitive information, suchas tax returns. It is vital that we develop new approaches to discoverand fix these vulnerabilities before the cybercriminals exploit them.In this dissertation, I will present my research on securing the webagainst current threats and future threats. First, I will discuss mywork on improving black-box vulnerability scanners, which are toolsthat can automatically discover vulnerabilities in web applications.Then, I will describe a new type of web application vulnerability:Execution After Redirect, or EAR, and an approach to automaticallydetect EARs in web applications. Finally, I will present deDacota, afirst step in the direction of making web applications secure byconstruction

Securing Web Applications from malware attacks using hybrid feature extraction

In this technological era, many of the applications are taking the utilization of services of internet in order to cater to the needs of its users. With the rise in number of internet users, there's a substantial inflation within the internet attacks. Because of this hike, Web Services give rise to new security threats. One among the major concerns is the susceptibility of the internet services for cross site scripting (XSS). More than three fourths of the malicious attacks are contributed by XSS. This article primarily focuses on detection and exploiting XSS vulnerabilities. Generally, improper sanitization of input results in these type of susceptibilities. This article primarily focuses on fuzzing, and brute forcing parameters for XSS vulnerability. In addition, we've mentioned the planned framework for contradicting XSS vulnerability

Mobile Learning Applications Audit

While mobile learning (m-learning) applications have proven their value in educational activities, there is a need to measure their reliability, accessibility and further more their trustworthiness. Mobile devices are far more vulnerable then classic computers and present inconvenient interfaces due to their size, hardware limitations and their mobile connectivity. Mobile learning applications should be audited to determine if they should be trusted or not, while multimedia contents like automatic speech recognition (ASR) can improve their accessibility. This article will start with a brief introduction on m-learning applications, then it will present the audit process for m-learning applications, it will iterate their specific security threats, it will define the ASR process, and it will elaborate how ASR can enhance accessibility of these types of applications.IT Audit, Software Testing, Penetration Testing, Mobile Applications, Multimedia, Automatic Speech Recognition

Securing Web Applications from malware attacks using hybrid feature extraction

In this technological era, many of the applications are taking the utilization of services of internet in order to cater to the needs of its users. With the rise in number of internet users, there's a substantial inflation within the internet attacks. Because of this hike, Web Services give rise to new security threats. One among the major concerns is the susceptibility of the internet services for cross site scripting (XSS). More than three fourths of the malicious attacks are contributed by XSS. This article primarily focuses on detection and exploiting XSS vulnerabilities. Generally, improper sanitization of input results in these type of susceptibilities. This article primarily focuses on fuzzing, and brute forcing parameters for XSS vulnerability. In addition, we've mentioned the planned framework for contradicting XSS vulnerability