Computer Network Security Projects

Network security is considered as an important activity that specifically aims to secure the morality and accessibility of data and network. Based on the different factors of network security, we list out numerous project topics that could satisfy various ranges of research areas and difficulties:

  1. Implementation of a Secure Intrusion Detection System (IDS)
  • Explanation: For any strategy breaches or malicious behaviors, track system or network behaviors by modeling and applying an IDS. To enhance identification levels, the combination of machine learning approaches could be investigated in this project.
  • Expertise and Tools: It could involve Wireshark for network analysis, Python for machine learning, Snort.
  1. Development of a Network Firewall
  • Explanation: To gain knowledge based on stateful analysis, packet filtering, and proxy functions, improve the previous open-source firewall or construct a new network firewall from the beginning. For rule management, the process of modeling user interfaces could be encompassed in this study.
  • Expertise and Tools: Utilize GUI programming languages like Python along with Tkinter, PFsense, and iptables.
  1. Phishing Detection and Prevention System
  • Explanation: Aim to develop a framework that is capable of identifying phishing tries in web pages or emails in an automatic manner. To detect possible hazards, machine learning methods could be employed in this project to examine text data, URLs, and other important metadata.
  • Expertise and Tools: Natural Language Processing (NLP) libraries, Python, and email servers for testing could be included.
  1. Secure Wireless Network Design
  • Explanation: By concentrating on protective access point configuration, the obstruction of some usual assaults like Main in the Middle (MitM) or Evil Twin, and the encryption principles, model and apply a secure wireless network arrangement.
  • Expertise and Tools: Use Network simulation tools (like GNS3), RADIUS server, and Wi-Fi Protected Access (WPA3).
  1. Blockchain-Based Secure Communication Protocol
  • Explanation: For secure interactions, create a blockchain-related, decentralized protocol. In order to assure privacy and morality by means of cryptographic approaches, this protocol can be implemented to various applications like data transactions, email, or messaging applications.
  • Expertise and Tools: Encompasses peer-to-peer network programming, cryptographic libraries (like OpenSSL), and solidity for Ethereum blockchain.
  1. VPN Configuration and Security Analysis
  • Explanation: Initially, plan to establish a Virtual Private Network (VPN). For effective safety, arrange it. By evaluating the strength of the VPN and simulating different assaults, carry out an investigation in terms of its safety.
  • Expertise and Tools: Network penetration testing tools (such as Metasploit), WireGuard, and OpenVPN could be included.
  1. IoT Network Security Solutions
  • Explanation: By creating policies for data encryption, device authentication, and secure interaction protocols, this project intends to protect IoT networks as the IoT devices continuously emerge.
  • Expertise and Tools: This project could involve IoT devices for testing (like Raspberry Pi), SSL/TLS for encryption, and MQTT for IoT interaction.
  1. Analysis of Cryptographic Protocols
  • Explanation: To interpret the mechanisms, risks, and robustness of different cryptographic protocols like IPSec, SSL/TLS, and SSH that are employed in network security, this project carries out a comparative analysis.
  • Expertise and Tools: Includes network sniffers (like Wireshark), Cryptography libraries (such as Crypto++).
  1. Development of an Anomaly-Based Network Monitoring System
  • Explanation: The major aim of this project is to model a system that detects uncommon patterns in network traffic by employing anomaly identification approaches, and these patterns could be the demonstration of safety violations. Machine learning or statistical frameworks could be encompassed in this.
  • Expertise and Tools: Consider Elasticsearch for data analysis, Scikit-learn for machine learning, and Python.
  1. Secure File Transfer Protocol (SFTP) Implementation
  • Explanation: It is approachable to apply a secure file transfer system that aims to secure data at the time of sharing through the utilization of secure authentication and encryption techniques. The creation of more accessible server and client applications could also be investigated in this project.
  • Expertise and Tools: Employ user interface design libraries, OpenSSL for encryption, and Python.

I m a student computer network Can anybody share an idea to improve a computer network project

Computer networks are an interesting domain and have various research areas. To carry out the project in this domain, several procedures and guidelines have to be followed. By merging numerous major research areas in the current prospect of networking, we suggest a plan to enhance a computer network project: Combining ML/AI for Predictive Network Analytics.

Project Outline:

To examine network traffic, automate network management missions, and forecast possible problems, create a system that specifically employs the methods of Machine Learning (ML) and Artificial Intelligence (AI). The created system is capable of offering support in various processes like identification of illicit access before they turn into hazards, forecasting of bandwidth obstructions, and alteration of network arguments in an automatic manner for keeping the effective performance.

Project Aspects:

  • Data Gathering: Relevant to traffic patterns, performance indicators, and utilization statistics, gather data by employing actual network platforms or network simulation tools.
  • Machine Learning Model: To examine the gathered data, use previous ML-based frameworks or create novel ones. Detection of patterns which denote possible issues like ineffective routing, expected network overload, or uncommon traffic that could imply a safety hazard is the major aim of this project.
  • Forecasting and Automation: Intend to deploy a system in which the ML-related framework has the ability to create or recommend activities in an automatic way to reduce the possible problems in addition to forecasting them. As an instance, rearranging network paths, obstructing doubtful IP addresses, or reassigning bandwidth could be recommended by this framework.
  • User Interface: For enabling the network experts to see forecastings, suggestions, and perceptions that are produced by the ML/AI system, create a more accessible interface. If necessary, this interface must enable the control of automatic operations in a manual way.
  • Assessment and Feedback Loop: To assess the efficacy of automatic operations and the preciseness of forecastings, encompass a technique. For improving and training the ML framework even more, the reviews that are obtained from this assessment can be very helpful.

Why This Improves Your Project:

  • Relevance: Your project will become latest when you use the methods of ML and AI that are examined as highly important for the upcoming and recent advancements in network management.
  • Practicality: It provides realistic advantages by solving various actual-world issues like performance barriers and network safety hazards.
  • Innovation: The project might be result in a self-enhancing and highly smart network, when dealing with creative approaches by combining ML/AI into network management.
  • Skill Development: There will be a possibility to obtain knowledge in big data mechanisms, ML/AI, and network analysis. In the field of technology, all these are considered as major expertise.

Technologies and Tools:

  • Network Simulation Tools: Wireshark, GNS3
  • AI/ML Frameworks: Scikit-learn, PyTorch, TensorFlow
  • Programming Languages: For UI and frontend, use JavaScript. Then, Python for backend and ML/AI.
  • Data Visualization Tools: Kibana, Grafana.

Computer Network Security Thesis Topics

Computer Network Security Projects Topics has established itself as a premier research and development company, specializing in providing expert assistance to scholars for over twenty years. Our extensive experience includes collaborations with universities worldwide, ensuring that we deliver top-notch results. In addition to conducting comparative analyses on the most recent papers, we also provide access to the reference materials used in your research. Explore the cutting-edge Computer Network Security Projects Topics currently available for scholars at

  1. TDMP: Reliable Target Driven and Mobility Prediction based routing protocol in complex Vehicular Ad-hoc Network
  2. Minimizing Communication Interference for Stable Position-based Routing in Mobile Ad Hoc Networks
  3. Asynchronous distributed optimization via dual decomposition for delay-constrained flying ad hoc networks
  4. A modeling framework for supporting and evaluating performance of multi-hop paths in mobile ad-hoc wireless networks
  5. An efficient protocol for authenticated and secure message delivery in vehicular ad hoc networks
  6. Ad-hoc performance of wireless sensor network for large scale civil and construction engineering applications
  7. Node trust evaluation in mobile ad hoc networks based on multi-dimensional fuzzy and Markov SCGM(1,1) model
  8. An ad hoc distributed systems approach for industrial wireless sensor network management
  9. A hybrid channel assignment strategy to QoS support of video-streaming over multi-channel ad hoc networks
  10. A Formal Model for the Chain-Branch-Leaf Clustering Scheme in OLSR based Vehicular Ad hoc Networks using Event-B
  11. An efficient roadside unit deployment method for vehicular ad-hoc networks
  12. Constructing minimum extended weakly-connected dominating sets for clustering in ad hoc networks
  13. The Effect of Speed Variation on Different Traffic Patterns in Mobile Ad Hoc Network
  14. A multi-objective optimization system for mobile gateways selection in vehicular Ad-Hoc networks
  15. Evaluation of a Compound Node Selection Function for a Greedy Routing in Urban Vehicular Ad Hoc Networks
  16. Energy-aware routing algorithms for wireless ad hoc networks with heterogeneous power supplies
  17. HEAD: A Hybrid Mechanism to Enforce Node Cooperation in Mobile Ad Hoc Networks
  18. Interference aware routing for mobile ad hoc networks based on node’s sending and receiving capabilities
  19. Grey wolf optimization based clustering algorithm for vehicular ad-hoc networks
  20. A comparative classification of information dissemination approaches in vehicular ad hoc networks from distinctive viewpoints: A survey