Abstract
The simulator offers a sophisticated environment for studying and analyzing Piggyback Attacks, a form of unauthorized access in communication systems, where attackers exploit legitimate connections to gain unauthorized entry. By simulating various attack scenarios, the system provides insights into vulnerabilities, patterns, and countermeasures, contributing to the enhancement of network security protocols.
Simultaneously, the simulator incorporates a Whiteboard Identification Marker module, focusing on advancing user interaction and collaboration technologies. Leveraging computer vision and machine learning techniques, it allows the identification and tracking of markers on physical whiteboards, transforming conventional tools into smart, interactive surfaces. This functionality introduces innovative applications in education, business, and collaborative environments, where physical whiteboards can seamlessly integrate with digital platforms.
SQL injection (SQLi) is a web security vulnerability that enables attackers to manipulate an application’s backend by altering the queries sent to the database. One of the most common methods of orchestrating such attacks is by inserting a malicious SQL query as input data to the vulnerable SQL application that eventually adversely affects the execution of a predefined legitimate SQL query.
The attack subsequently allows hackers to compromise the integrity of the webserver and gain unauthorized access to databases. An SQLi vulnerability attack also enables hackers to exploit users’ information, delete table entries, gain administrative access, and/or compromise other systems interacting with the webserver.
Retrieving hidden data with error-based SQLi allows modifying a legitimate query to obtain additional sensitive or confidential content. Boolean-based SQL Injection – This enables altering the query to change the application logic UNION-based SQLi attacks –These attacks are orchestrated to obtain information from multiple tables
Methodology
With the help of cryptography, data are converted into a format that is difficult for an attacker to understand, and these data can be broadcasted in a reliable format.
If the attacker obtains access to the cryptographic algorithm, then the attacker can easily decrypt the data, but if the data are encrypted with the help of the key, it is difficult for the attacker to decrypt the data without the key. When the data are encrypted with the same key at different times, there is a possibility to obtain the actual key with the help of the Kasiski test.
Different researchers have encrypted the data with the help of the same key or have developed an algorithm by combining different algorithms, which is a great solution.
Hardware Requirements
- Processor: Intel Core 2 Duo
- Clock Speed: 2.2 GHz
- RAM: 2 GB DDR
- Storage: 16 GB HDD
Software Requirements
- Operating System : Windows 10 (or above)
- Platform: .NET (Visual Studio 2022)
- Framework: .NET Framework 4.0
- Database: SQL Server 2017
Project Modules
- Union Hacking
- Union Attack Detection & Prevention Module
- Piggy Backed Attack
- Piggy Backed Attack Detection
Components of Project Report
- Abstract
- Table of Contents
- List of Tables
- List of Figures
- Chapters
- Introduction
- Literature review
- Problem definition and requirement analysis
- Design and Implementation
- Testing and deployment
- Future enhancements
- Summary
- References
Project Report Pages : 80
Can be used in : Cyber Security
Delivery Time : Within 2 hours.
Support / Query : Call +91-7449000533
Email [email protected]
