What is Network Security?

Network security contains a mass number of technologies, policies, and methods which is a set of standards. It is intended to ensure reliability, privacy, and ease of access to information/networks through networking technologies. Beyond this, there are so many ways to describe it. 

This article covers the important information about the Network Security Project Ideas!!!

How to design the Network Security Systems? 

It involves so many techniques there are many ways to ensure security. At first, it takes in open cooperation or path trust. Then, it depends on encryption where the midway path is untrusted. Next, it uses other forward-thinking or a mixture of the above. In some cases, it may let the third party prove trust in their place. 

Below, we have given few core values of the network and based on the level of security it may alter. Also, it plays a major role in handpicking Network Security Project Ideas 

  • Integrity: The peer communication should be unchanged (or be verifiable)
  • Confidentiality: The communication among peers should be kept on confidential
  • Authenticity: Verify the peer identification in all or certain peers (regularly it is one way)

Hence, network security is a wide-ranging platform that covers the whole thing of the network. It comprises the network infrastructure, devices, protocol, mainframe, server, and many more. To be more specific, our experts have listed the following information for your better understanding.  

  • Network Device Management: In the case of vulnerability, it performs the network device patching process
  • Network Monitoring: When any anomaly pattern is found, it performs monitoring for detailed analysis.
  • Network Protocol: Prevents from sniffer attacker through encoding the packet on network interface card (NIC) and device
  • Network Security Architecture: Whendealing with the subject of defense-in-depth, it is very supportive.  

Why choose us for research? 

  • Selection of appropriate simulation tools to give accurate results through a comparative study 
  • In-depth proficiency in Network operating system, topology model, and components

In general, before starting the PhD study, we go through several leading reputed publishers, for instance, IEEE Xplore, ACM Digital Library, Science Direct-Elsevier, SpringerLink and Google Scholar headed for variety. And, it is applicable for all kinds of research domains and does the study by following ways, 

  • Drawing out the research works of relevant abstracts and titles 
  • Chain the correlated words for searching 
  • The end result of the enhanced practices
  • A comprehensive study of subject matters and eliminates repetition 

Ultimately, it assists our resource team to create interesting Network Security Project Ideas with pure novelty. Moreover, we also pay extra attention to following norms to yield a fine-tuned research paper with good quality of writing. 

Research Implementation of Network Security Project Ideas
  • Whether the objective and purpose of the study are evidently explained?  
  • Are the fundamental and essential information of study sufficiently defined? 
  • Are the backgrounds history details of the study satisfactorily presented?
  • Whether the research design is suitable for the study? 
  • Whether apt data collection approaches are implemented? 
  • Whether they performed data analysis is rationally clarified? 
  • Are the final outcome and inferences flawless and sound?

For more clarification, our development team is willing to share a Sample Network Security Projects. It holds all the processes involved in the project implementation phase. Then it also includes what are parameters we have taken to evaluate the overall performance of the system.

Latest Network Security Project 

This project primarily focuses to protect the IoT-Fog enabled system against the various cyber-attacks. Here, we have proposed a blockchain-based AI intelligent edge model called Bi-Guard which is for Intrusion Detection and Prevention. The main aim of this system is to minimize the false positive rate and to increase intrusion detection accuracy. Now, let us discuss the flow of working in detail.

Environment

  • Fog enabled Internet of Things (IoT)

Network Entities

  • IoT Nodes and Users 

Authentication 

  • PHOTON and QUARK algorithms – Register IoT users/devices 
  • Parameters: ID, Password, IP, PUF, and MAC address 
    • Forward low resource-constrained devices request to Authenticators I
    • Forward high resource-constrained devices request to Authenticators II
    • Drop the unauthorized requests

Secure Traffic Balancing    

  • BiPartite One to Many Mapping algorithms – Overcome load imbalance 
  • Parameters: Service Type, Device Type, Severity Level, and Available Resources
    • Eliminate Delay 
    • Fast Intrusion Detection in the initial stage

Access Policy Matching 

  • Reinforcement (Q) learning algorithm – Create a policy
  • Parameters: Source (IP address, MAC address, Port) Destination (IP address, MAC address, Port), and Protocol Type 
  • Hash the policy and store in Blockchain

Packets Validation and Attacks Type Detection  

  • Classifier 1: Normal and Malicious
  • Adversarial Machine Learning algorithm Parameters: Bandwidth, SYN Flag, Time duration, Packet Size, Inter Packet Arrival Time, TTL, and No of Re-transmission 
  • Classifier 2: Rare and Frequent (if Malicious)
    • NFV 
    • Ensemble Twin-Layer GRU – Update access policy and classify maliciously
  • Detected intrusion

On the whole, this work proves that the proposed system is more effective and better performance than the existing system through the assessment of the following outcome metrics, 

  • Network Load vs. Time 
    • Accuracy 
      • Node Motion Speed 
      • Percentage of Malicious IoT Devices 
      • No of IoT Devices 
  • Detection Time 
    • High Resource-Constrained Devices 
    • Less Resource-Constrained Devices 
  • Recall 
    • No of IoT Devices 
    • Node Motion Speed 
    • Percentage of Malicious IoT Devices 
  • Precision 
    • Percentage of Malicious IoT Devices 
    • No of IoT Devices 
    • Node Motion Speed 
  • False Alarm Rate (FAR) 
    • Percentage of Malicious IoT Devices 
    • Node Motion Speed
    • No of IoT Devices 

Last but not least, we have listed out some innovative Research Network Security Project Ideas that our team working on currently. 

Network Security Project Titles

  • An innovative mechanism intended for Analysis and Protection of Computer Network Security Disputes 
  • A Novel Survey study based on Security Requirements used for WSNs through Focusing on Features Connected to Security 
  • Modernistic Revision on Network Security Based through PCA and BP Neural Network Under Green Communication 
  • Hi-tech Connectivity of Wireless Multi-hop Stochastic Networks underneath the Security Restraints in Rayleigh Fading Environment settings
  • A current mechanism for Network Slicing in 5G and Security Concerns 
  • A new-fangled mechanism for Collaborative Security Structure aimed at Software-Defined WSNs 
  • A competent method for Combining Machine Learning and Behavior Analysis Techniques for Network Security 
  • An innovative method for Counteracting Attacks From Malicious End Hosts in SDNs 
  • A novel design function for Dynamic and Application-Aware Provisioning of Chained Virtual Security Network Purposes 
  • An effectual process for I-HMM-Based on Multidimensional Network Security Risk Assessment 
  • The new-fangled mechanism for Transparent AAA Security Design intended for Low-Latency MEC-ICNs 
  • An innovative method for Enhancing Physical Layer Security of Random Caching in Large-Scale Multi-Antenna HWNs 
  • The novel method for Security-Aware VN Embedding Algorithm based on Reinforcement Learning 
  • A new source for Research on CNS SDN Load Balancing Algorithm Based on Diversity Feedback scheme
  • Efficient performance of Assessing Security and Dependability of a Network System Susceptible to Lateral Movement Attacks 
  • New function of Design and Analysis of Probing Route to Defense Sink-Hole Attacks for Internet of Things Security 
  • A modern Security Performance Analysis (PA) intended for Best Relay Selection in Energy-Harvesting Cooperative CNs 
  • Examining the process of Investigating based on Security Threats via Networked Medical Devices system 
  • A novel performance for Energy Efficient Security Aware Clustering approach using Fuzzy Logic for MANETs 
  • Efficient Avoidance of Cyber Attacks using Blockchain-based BiGuard Intelligent Defensive Model

Hence, approach our team to get flawless research work in the stipulated time. Also, we are ready to guide you in your requested phase. We are here to guide you in choosing latest Innovative Network Security Project Ideas with value added research guidance.