DETECTING DATA LEAKS VIA SQL INJECTION PREVENTION ON AN E-COMMERCE

DETECTING DATA LEAKS VIA SQL INJECTION PREVENTION ON AN E-COMMERCE

Abstract

The objective of this project is to prevent SQL injection while firing queries to database and to make the database secured. This system is online so no need of implementation. It can be accessed through internet from anywhere. The system uses SQL Injection mechanism prevention to keep the data safe and secure from sql injection attacks.
The highlighted part here is encryption of card data using AES (Advanced Encryption Standard) technique. The Online Shop secures the card payment and won’t let the card data to get hacked. While user doing a card payment, all the card data is encrypted and then stored into database. System also keeps user details in an encryption form using AES encryption. The system is built of handling SQL Injection capabilities which doubles the security of database and prevents from injection hacking codes into the database. Here, the project files and a database file will be stored into the Azure cloud which will form a connection between application and cloud server via internet. The project will be accessed in the web browser through Azure link.

TABLE OF CONTENT
Title page- – – – – – – – – i
Approval page – – – – – – – -ii
Dedication – – – – – – – – -iii
Acknowledgement – – – – – – – -iv
Abstract – – – – – – – – – -v
Table of content – – – – – – – -vi

CHAPTER ONE
INTRODUCTION – – – – – – – -1
1.0 Background of the study – – – – -1
1.1 Statement of the problem – – – – -5
1.2 Purpose of the study – – – – – -6
1.3 Significance of the study – – – – -8
1.4 Research questions – – – – – -9
1.5 Scope of the study – – – – – – -10

CHAPTER TWO

LITERATURE REVIEW – – – – – – -11

CHAPTER THREE

Research methodology – – – – – – -39
Design of study – – – – – – – -40
Area of study – – – – – – – – -40
Population of the study – – – – – – -41
Sample and sampling techniques – – – – -41
Instrument for data collection – – – – -41
Method of data collection – – – – – -42
Method of data analysis – – – – – – -43

CHAPTER FOUR

Presentation, analysis and interpretation of data – -48
Discussion of findings – – – – – – -56

CHAPTER FIVE

Summary of findings – – – – – – -60
Conclusion – – – – – – – – -61
Recommendations – – – – – – – -62
Suggestions for further research – – – – -64
References – – – – – – – – -65
Appendix I – – – – — – – – -68
Questionnaire. – – – – – – – -69

DETECTING DATA LEAKS VIA SQL INJECTION PREVENTION ON AN E-COMMERCE

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