Intrusion detection and prevention system

Project Abstract

Intrusion detection and prevention systems (IDPS) have become essential components in safeguarding computer systems and networks against malicious activities. These systems work by monitoring network traffic, analyzing patterns, and identifying potential security breaches. The primary goal of an IDPS is to detect and prevent unauthorized access, misuse, and attacks on a system or network. This research project focuses on the design and implementation of an efficient IDPS that combines both signature-based and anomaly-based detection techniques. Signature-based detection involves comparing network traffic patterns against a database of known attack signatures, while anomaly-based detection identifies deviations from normal behavior. By integrating these two techniques, the IDPS can provide comprehensive protection against a wide range of cyber threats. The proposed IDPS architecture consists of three main components the data collection module, the detection engine, and the response module. The data collection module gathers network traffic data from various sources, such as sensors and logs. This data is then passed to the detection engine, where it is analyzed using signature-based and anomaly-based detection algorithms. Upon detecting a potential intrusion, the response module takes appropriate action to mitigate the threat, such as blocking the malicious traffic or alerting the system administrator. To enhance the accuracy and efficiency of the IDPS, machine learning algorithms are employed to continuously train and update the detection models. By leveraging machine learning techniques, the IDPS can adapt to evolving threats and improve its detection capabilities over time. Additionally, the system incorporates real-time monitoring and logging functionalities to provide visibility into network activities and facilitate incident response procedures. In conclusion, the development of a robust IDPS is crucial in ensuring the security and integrity of computer systems and networks. By combining signature-based and anomaly-based detection methods, leveraging machine learning algorithms, and implementing real-time monitoring capabilities, the proposed IDPS offers a comprehensive solution for detecting and preventing intrusions. Future research directions include exploring advanced detection techniques, enhancing scalability and performance, and integrating threat intelligence feeds to strengthen the overall security posture of the system.

Project Overview

<p> </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. &nbsp;Guide to intrusion detection and prevention systems (IDPS). Computer security resource center, Scarf one [1].</p><p></p></div><div><p>&nbsp;Guide to intrusion detection and prevention systems (IDPS). Computer security resource center, Scarf one [1].</p><p><strong>1.1 &nbsp; &nbsp; 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 &nbsp; &nbsp; 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) &nbsp;To design a system that will encrypt information pertaining to customers to prevent intrusion.</p><p></p><p>(2) &nbsp;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 &nbsp; &nbsp; 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>&nbsp;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>&nbsp;It is an illegal act of entering possession of another’s property.</p><p><strong>Password:</strong>&nbsp;A special code used by user to gain access to the database or a research.</p><p><strong>Security:</strong>&nbsp;safety, freedom danger.</p><p><strong>Files:</strong>&nbsp;Is the collection of logically related record.</p><p><strong>Prevention:</strong>&nbsp;Maintenance performed to stop fault occurring or developing into major detects.</p><p><strong>Codes:</strong>&nbsp;To write a computer program by putting one system of number, words symbols into another system.</p><p><strong>System:</strong>&nbsp; a group of interdependent items that interact regularly to perform task</p></div> <br><p></p>