Intrusion detection and prevention system
Table Of Contents
Chapter ONE
INTRODUCTION
- 1.1Introduction
- 1.2Background of Study
- 1.3Problem Statement
- 1.4Objective of Study
- 1.5Limitation of Study
- 1.6Scope of Study
- 1.7Significance of Study
- 1.8Structure of the Research
- 1.9Definition of Terms
Chapter TWO
LITERATURE REVIEW
- 2.1Overview of Intrusion Detection Systems
- 2.2Types of Intrusion Detection Systems
- 2.3Intrusion Prevention Systems
- 2.4Comparison of Intrusion Detection and Prevention Systems
- 2.5Evolution of Intrusion Detection and Prevention Systems
- 2.6Machine Learning in Intrusion Detection
- 2.7Challenges in Intrusion Detection and Prevention
- 2.8Best Practices in Intrusion Detection and Prevention
- 2.9Case Studies on Intrusion Detection and Prevention
- 2.10Future Trends in Intrusion Detection and Prevention Systems
Chapter THREE
SYSTEM DESIGN AND IMPLEMENTATION
- 3.1Research Methodology Overview
- 3.2Research Design
- 3.3Data Collection Methods
- 3.4Sampling Techniques
- 3.5Data Analysis Techniques
- 3.6Ethical Considerations
- 3.7Validity and Reliability
- 3.8Limitations of the Methodology
Chapter FOUR
SYSTEM TESTING AND EVALUATION
- 4.1Overview of Research Findings
- 4.2Analysis of Data Collected
- 4.3Comparison with Existing Literature
- 4.4Key Insights from the Findings
- 4.5Implications of Findings
- 4.6Recommendations for Practice
- 4.7Recommendations for Future Research
- 4.8Conclusion of Findings
Chapter FIVE
SUMMARY, CONCLUSION AND RECOMMENDATIONS
- 5.1Summary of Research
- 5.2Conclusions Drawn
- 5.3Contributions to the Field
- 5.4Practical Implications
- 5.5Recommendations for Action
- 5.6Areas for Future Research
- 5.7Reflections on the Research Process
- 5.8Final Thoughts and Acknowledgments
Thesis Abstract
Abstract
Intrusion detection and prevention systems (IDPS) play a critical role in safeguarding computer networks from unauthorized access, malicious activities, and potential security breaches. These systems continuously monitor network traffic, analyze patterns, and detect anomalies or suspicious behavior that could indicate a security threat. By identifying and responding to potential intrusions in real-time, IDPS helps organizations mitigate risks, protect sensitive data, and ensure the integrity of their network infrastructure. Traditional IDPS solutions typically employ a combination of signature-based detection, anomaly detection, and rule-based analysis to identify and respond to security incidents. Signature-based detection relies on predefined patterns or signatures of known threats to detect malicious activities, while anomaly detection identifies deviations from normal network behavior that could indicate a security breach. Rule-based analysis involves setting specific rules or policies to govern network traffic and trigger alerts or responses when certain conditions are met. Recent advancements in IDPS technologies have introduced more sophisticated techniques such as machine learning, artificial intelligence, and behavioral analysis to enhance the accuracy and efficiency of intrusion detection and prevention. Machine learning algorithms enable IDPS to adapt and learn from new data patterns, improving its ability to detect emerging threats and evolving attack techniques. Artificial intelligence algorithms can analyze vast amounts of network data to identify complex attack patterns and make real-time decisions to prevent potential intrusions. Furthermore, behavioral analysis techniques focus on understanding normal user behavior and network patterns to detect deviations that could indicate unauthorized access or malicious activities. By continuously monitoring and analyzing network traffic, IDPS can establish baseline behavior profiles and detect abnormal activities that may pose a security risk. This proactive approach allows organizations to respond swiftly to security incidents and prevent potential data breaches or system compromises. In conclusion, the implementation of an effective intrusion detection and prevention system is essential for organizations to enhance their cybersecurity posture and protect their network assets from cyber threats. By leveraging a combination of traditional and advanced detection techniques, IDPS can provide real-time threat detection, incident response, and security policy enforcement to safeguard critical infrastructure and mitigate security risks. As cyber threats continue to evolve and become more sophisticated, organizations must invest in robust IDPS solutions to defend against potential intrusions and ensure the confidentiality, integrity, and availability of their network resources.
Thesis Overview
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</p><div><p><strong>INTRODUCTION</strong></p><p>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 “flavors” 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].</p><p></p></div><div><p> Guide to intrusion detection and prevention systems (IDPS). Computer security resource center, Scarf one [1].</p><p><strong>1.1 Statement of the Problem</strong></p><p>The following problems were identified in the existing system that necessitated the development of the intrusion detection and prevention system:</p><ol><li>Absence of an intrusion detection and prevention system.</li><li>Insecurity of customer information.</li><li>Inability to prevent intruders from gaining access to sensitive information stored in the computer system.</li><li>Low level of file security.</li></ol><p><strong>1.2 Aim and Objectives of Study</strong></p><p>The aim of this project is to develop an Intrusion Detection and Prevention System with the following objectives:</p><p>(1) To design a system that will encrypt information pertaining to customers to prevent intrusion.</p><p></p><p>(2) To develop a system that will require an encryption key before bank transaction information can be viewed.</p><p>(3) To implement a system that will prevent disclosure of customers’ data to fraudsters by utilizing cipher text.</p><ul><li><strong>Significance of the study</strong></li></ul><p>This study is significant in the following ways:</p><ol><li>It will help prevent unauthorized individuals (intruders) from gaining access to the financial information of customers.</li><li>It will help in tightening the security level of the organization.</li><li>The study will reveal how encryption can be applied to prevent intruders from gaining access to customer information.</li><li>The study will serve as a useful reference material to other researchers seeking related information.</li></ol><p><strong>1.4 Scope of the Study</strong></p><p>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,</p><p><strong>1.5 Organization of the Research</strong></p><p>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.</p><p>Chapter two focuses on the literature review; contribution of other scholars on the subject matter is discussed.</p><p>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.</p><p>Chapter four present the system implementation, the choice of programming language used, and system requirement for implementation</p><p>Chapter five, this chapter focuses on the summary, conclusion and recommendation are also contained in this chapter based on the study carried out.</p><p><strong>Detection</strong> is the extraction of particular information from a larger stream of information without specific cooperation from or synchronization with the sender.</p><p><strong>Intrusion:</strong> It is an illegal act of entering possession of another’s property.</p><p><strong>Password:</strong> A special code used by user to gain access to the database or a research.</p><p><strong>Security:</strong> safety, freedom danger.</p><p><strong>Files:</strong> Is the collection of logically related record.</p><p><strong>Prevention:</strong> Maintenance performed to stop fault occurring or developing into major detects.</p><p><strong>Codes:</strong> To write a computer program by putting one system of number, words symbols into another system.</p><p><strong>System:</strong> a group of interdependent items that interact regularly to perform task</p></div>
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