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Intrusion detection and prevention system

 

Table Of Contents


Chapter ONE

1.1 Introduction
1.2 Background of Study
1.3 Problem Statement
1.4 Objective of Study
1.5 Limitation of Study
1.6 Scope of Study
1.7 Significance of Study
1.8 Structure of the Research
1.9 Definition of Terms

Chapter TWO

2.1 Overview of Intrusion Detection Systems
2.2 Types of Intrusion Detection Systems
2.3 Intrusion Prevention Systems
2.4 Evolution of Intrusion Detection and Prevention
2.5 Machine Learning in Intrusion Detection
2.6 Challenges in Intrusion Detection and Prevention
2.7 Best Practices in Intrusion Detection and Prevention
2.8 Intrusion Detection and Prevention Tools
2.9 Real-World Applications of Intrusion Detection and Prevention
2.10 Future Trends in Intrusion Detection and Prevention

Chapter THREE

3.1 Research Methodology Overview
3.2 Research Design
3.3 Data Collection Methods
3.4 Sampling Techniques
3.5 Data Analysis Methods
3.6 Ethical Considerations
3.7 Reliability and Validity
3.8 Limitations of the Methodology

Chapter FOUR

4.1 Data Analysis and Interpretation
4.2 Overview of Findings
4.3 Comparison of Results
4.4 Discussion of Key Findings
4.5 Implications of Findings
4.6 Recommendations for Practice
4.7 Recommendations for Further Research
4.8 Conclusion of Findings

Chapter FIVE

5.1 Summary of Findings
5.2 Conclusions Drawn from the Research
5.3 Contributions to the Field
5.4 Practical Implications
5.5 Theoretical Implications
5.6 Recommendations for Implementation
5.7 Future Research Directions
5.8 Final Thoughts and Closing Remarks

Thesis Abstract

Abstract
Intrusion detection and prevention systems (IDPS) play a crucial role in safeguarding computer networks and systems from unauthorized access or malicious activities. These systems continuously monitor network traffic, analyze events, and detect potential security breaches in real-time. By leveraging various detection techniques, such as signature-based detection, anomaly detection, and behavioral analysis, IDPS can identify known attack patterns as well as emerging threats. Intrusion detection systems (IDS) focus on detecting and alerting on potential security incidents based on predefined rules and patterns. They analyze network packets, system logs, and other data sources to identify suspicious activities. Intrusion prevention systems (IPS), on the other hand, not only detect threats but also take proactive measures to block or mitigate them in real-time. IPS can automatically respond to detected threats by blocking malicious traffic, reconfiguring security settings, or isolating compromised systems. The effectiveness of an IDPS depends on its ability to accurately detect and prevent a wide range of security threats while minimizing false positives and negatives. This requires a combination of signature-based detection for known threats, anomaly detection for unusual behavior, and machine learning algorithms for detecting new and evolving threats. Additionally, IDPS should be able to adapt to changing network environments, scale to handle large volumes of traffic, and integrate with existing security infrastructure. Deploying an IDPS involves careful planning, configuration, and tuning to ensure optimal performance and minimal impact on network operations. Organizations must define security policies, configure detection rules, and regularly update the system to protect against new vulnerabilities and attack vectors. Continuous monitoring and analysis of IDPS alerts and logs are essential to identify and respond to security incidents in a timely manner. In conclusion, an effective IDPS is a critical component of a comprehensive cybersecurity strategy to protect against evolving threats and vulnerabilities. By combining detection and prevention capabilities, IDPS can help organizations detect and mitigate security incidents before they cause damage or disruption. As cyber threats continue to evolve, IDPS must evolve as well to provide robust defense mechanisms against increasingly sophisticated attacks. Collaborative efforts between security professionals, researchers, and technology vendors are essential to develop and deploy advanced IDPS solutions that can effectively defend against modern cybersecurity threats.

Thesis Overview

INTRODUCTION

An intrusion detection system (IDS) monitors network traffic and monitors for suspicious activity and alert the system or network administrator. In some cases the IDS may also respond to anomalous or malicious traffic by taking action such blocking the user or source IP address from accessing the network. IDS come in a variety of β€œflavors” and approach the goal of detecting suspicious traffic in different ways. There are network based (NIDS) and host based (HIDS) intrusion detection systems are placed at a strategic point or points within the network to monitor traffic to and from all devices on the network. HIDS host intrusion detection system on the network. HIDS monitors the inbound and outbound pockets from the device only and will alert the user. Intrusion detection, prevention and trace back system are primarily focused on identifying possible incidents, logging information about them, attempting to stop them and reporting them to security administers. Intrusion prevention systems (IPS), also known as intrusion detection and prevention systems (IDPS), are network or system activities for malicious activity.  Guide to intrusion detection and prevention systems (IDPS). Computer security resource center, Scarf one [1].

 Guide to intrusion detection and prevention systems (IDPS). Computer security resource center, Scarf one [1].

1.1     Statement of the Problem

The following problems were identified in the existing system that necessitated the development of the intrusion detection and prevention system:

  1. Absence of an intrusion detection and prevention system.
  2. Insecurity of customer information.
  3. Inability to prevent intruders from gaining access to sensitive information stored in the computer system.
  4. Low level of file security.

1.2     Aim and Objectives of Study

The aim of this project is to develop an Intrusion Detection and Prevention System with the following objectives:

(1)  To design a system that will encrypt information pertaining to customers to prevent intrusion.

(2)  To develop a system that will require an encryption key before bank transaction information can be viewed.

(3) To implement a system that will prevent disclosure of customers’ data to fraudsters by utilizing cipher text.

  • Significance of the study

This study is significant in the following ways:

  1. It will help prevent unauthorized individuals (intruders) from gaining access to the financial information of customers.
  2. It will help in tightening the security level of the organization.
  3. The study will reveal how encryption can be applied to prevent intruders from gaining access to customer information.
  4. The study will serve as a useful reference material to other researchers seeking related information.

1.4     Scope of the Study

This study covers Intrusion Detection, and Prevention System using Gufax micro finance Bank Plc, Ikot Ekpene as a case study. It is limited to the use of cipher text encryption to prevent intruders from gaining access to vital information of customers,

1.5 Organization of the Research

This research work is organized into five chapters, chapter one is concerned with the introduction of the research study and it presents the preliminaries, theoretical background, and statement of the problem, aim and objectives of the study, significance of the study, scope of the study, and organization of the research, Limitation of the study and definition of terms.

Chapter two focuses on the literature review; contribution of other scholars on the subject matter is discussed.

Chapter three contains the system analysis and the design, it presents the research methodology used in development of the system, it analyses the present system to identify the problems and provide information on the merit of the proposed system. The system design is also presented in this chapter.

Chapter four present the system implementation, the choice of programming language used, and system requirement for implementation

Chapter five, this chapter focuses on the summary, conclusion and recommendation are also contained in this chapter based on the study carried out.

Detection is the extraction of particular information from a larger stream of information without specific cooperation from or synchronization with the sender.

Intrusion: It is an illegal act of entering possession of another’s property.

Password: A special code used by user to gain access to the database or a research.

Security: safety, freedom danger.

Files: Is the collection of logically related record.

Prevention: Maintenance performed to stop fault occurring or developing into major detects.

Codes: To write a computer program by putting one system of number, words symbols into another system.

System:  a group of interdependent items that interact regularly to perform task


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