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Design_and_implementation_of_network_activity_monitoring_sysytem

 

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 Network Activity Monitoring Systems
  • 2.2Evolution of Network Activity Monitoring Technology
  • 2.3Types of Network Activity Monitoring Tools
  • 2.4Benefits of Implementing Network Activity Monitoring Systems
  • 2.5Challenges in Network Activity Monitoring
  • 2.6Best Practices in Network Activity Monitoring
  • 2.7Case Studies of Successful Network Activity Monitoring Implementations
  • 2.8Comparison of Different Network Activity Monitoring Solutions
  • 2.9Future Trends in Network Activity Monitoring
  • 2.10Summary of Literature Review

Chapter THREE

SYSTEM DESIGN AND IMPLEMENTATION

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

Chapter FOUR

SYSTEM TESTING AND EVALUATION

  • 4.1Overview of Research Findings
  • 4.2Analysis of Network Activity Monitoring Data
  • 4.3Comparison of Actual Data with Expected Results
  • 4.4Identification of Key Trends and Patterns
  • 4.5Interpretation of Findings
  • 4.6Discussion on Implications of Findings
  • 4.7Recommendations for Future Research
  • 4.8Practical Applications of Research Findings

Chapter FIVE

SUMMARY, CONCLUSION AND RECOMMENDATIONS

  • 5.1Summary of Findings
  • 5.2Conclusions Drawn from the Research
  • 5.3Implications for Practice
  • 5.4Recommendations for Implementation
  • 5.5Areas for Future Research

Thesis Abstract

Abstract
Network activity monitoring systems play a crucial role in ensuring the security and stability of computer networks. This research project focuses on the design and implementation of a network activity monitoring system that is capable of monitoring, analyzing, and reporting on network traffic in real-time. The system employs a combination of network sensors, data collection mechanisms, and analysis algorithms to provide comprehensive monitoring capabilities. By capturing and analyzing network packets, the system is able to detect and report on various types of network activities, including intrusions, unauthorized access attempts, and anomalous traffic patterns. Key features of the system include real-time monitoring of network traffic, automated alerts for suspicious activities, detailed reports on network usage, and customizable dashboards for visualizing network activity. The system is designed to be scalable and flexible, allowing for easy integration with different types of networks and configurations. The implementation of the system involves the development of network sensors that can capture and forward network traffic to a central monitoring server. The monitoring server is responsible for processing and analyzing the network traffic data, generating alerts, and presenting the information to users through a user-friendly interface. To enhance the accuracy and effectiveness of the monitoring system, advanced machine learning algorithms are employed to detect patterns and anomalies in network traffic. These algorithms enable the system to adapt to new threats and evolving network conditions, making it a powerful tool for network security. Overall, the design and implementation of this network activity monitoring system aim to provide network administrators and security professionals with a comprehensive and effective tool for monitoring and securing computer networks. By leveraging advanced monitoring techniques and analysis algorithms, the system helps to detect and respond to security incidents in a timely manner, thus enhancing the overall security posture of the network. Future work on this project will focus on further enhancing the system's capabilities, improving its performance and scalability, and conducting real-world testing to evaluate its effectiveness in diverse network environments. The ultimate goal is to develop a robust and reliable network activity monitoring system that can address the evolving challenges of network security and provide valuable insights for network management and decision-making.

Thesis Overview

<p> </p><div><p><strong>INTRODUCTION</strong></p><p>Attacks on computer by outside intruder are more publicized but the ones perpetrated by insiders are very common and often more damaging. Insiders represent the greatest threat to computer security because they understand their organization’s business and how their computer systems work. They have both the confidentiality and access to perform these attacks. An inside attack will have a higher probability of successfully breaking into the system and extracting critical information. The insiders also represent the greatest challenge to securing the company network because they have authorized level of access to the file system.In a quest for maximum profitability in a network, there is need to monitor the activities performed such that the network activity in a real time would be tracked, confidential information safeguarded and control over the daily activities of every staff established. The question is: which and how would one develop the so much needed system that would exhibit all these potentialities?Network activity monitoring system is used to detect inside threats by monitoring file access and process activity (Behr et al, 2009). It is a powerful tool that allows one to track any local area network, giving you the most detailed information on when, how and what your network users do on daily basis. If it is a library public network, university or commercial organization network, Activity Monitor offers efficient control. This work targets the monitoring of every activity of a user in a computer network and maximizes the security for the organization or corporate body.<strong>1.1 BACKGROUND OF STUDY</strong></p><p>The Federal Inland Revenue service (FIRS) is one of the federal ministries charged with the responsibility of accessing, collecting, and accounting for the various taxes to the federal government since 1943.Tax revenue has been reliable from time, from where government rely for decision making, and aids for development and administrative planning, hence the need for optimum human resource of the organisation or ministry; for it’s considered to be their most valuable asset if properly harnessed and are well motivated to perform their assigned tasks so as to enhance the organisations goals and objectives.Computer network activity monitoring system has become one of the vital tools in providing evidence in cases such as computer misuse and fraud. Computers and other devices are being used increasingly to commit, enable or support unwanted activity perpetrated against individuals, organizations or assets. Although it is most often associated with the investigation of a wide variety of computer crime, network activity monitoring system may also be used in civil proceedings. The discipline involves similar techniques and principles to data recoveryand a lot of information is retained on the computer than most people realize. It’s also more difficult to completely remove information than it is generally thought. For these reasons (and many more), network activity monitoring system can often find evidence or even completely recover lost or deleted information, even if the information was intentionally deleted.This system consist of two tier application – server and client whereby the activity monitoring server can be installed in any computer in the entire local area network and the client which is the remote spy software is installed on all the computers on the network to be monitored.<strong>1.2 STATEMENT OF PROBLEM</strong></p><p>The existing system used by FIRS has been a challenge to them. Amongst the problems affecting the FIRS from maintaining a steady reliable accounting figures and estimates are:- With the current system, staffs easily erase or add data in order to cover up their fraud since there is no back up of the activity log. Frauds like computer fraud: – loss or damage to money, securities resulting directly from the use of any computer to fraudulently cause a transfer of money or other property from inside the premises to a personat a place outside the premise. Their method of operation is not so efficient for both units in the department (Operations and Reconciliation units).Both units cannot work at the same time, and this is because the staffs in one of the unit (reconciliation unit) has to wait for the staffs in the other unit (operation unit) to get their work to some extent before they can process their own work, and while they are processing their own work, the staffs in the operation unit has to pause their work a little,and with this manual of operation in the department, rooms for corporate fraud is being created.These are the more reasons, why the researcher embarked on this research.</p><p><strong>1.3 OBJECTIVES OF STUDY</strong></p><p></p></div><h3></h3><br> <br><p></p>

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