IEEE Networking Projects that address current challenges and introduce novel solutions in the field are discussed below. Networking is one of the dynamically progressing fields which involve several emerging research areas that are applicable for performing worthwhile research. With the focus of exhibiting the fresh findings and solving existing problems in the domain, we offer some feasible research projects with significant solution:

  1. Title: “Quantum-Resilient Secure Communication Protocol for Next-Generation Networks”
  • Potential Solution: In opposition to quantum computer assaults, assure the network security through creating a secure communication protocol with the application of post-quantum cryptography methods. Against possible quantum susceptibilities, our project engages in evaluating the efficiency of protocol in protecting the data distribution by simulating a network platform.
  1. Title: “AI-Driven Anomaly Detection in IoT Networks for Smart Cities”
  • Potential Solution: Considering the IoT networks, we need to identify and reduce the outliers through executing an AI-oriented system. To evaluate the network traffic in real-time, make use of machine learning techniques. Through recognizing and reacting to irregular patterns which might reflect breakdowns or cyber-attacks, this study concentrates on assuring the safety and reliability of smart city frameworks.
  1. Title: “Optimizing 5G Network Slices for Heterogeneous Services using Reinforcement Learning”
  • Potential Solution: For guaranteeing the best functionality on diverse services like mMTC, URLLC and eMBB, it is advisable to assign resources in 5G networks effectively by using reinforcement learning. As reflecting on evolving requirements and contexts, user convenience and maximal capabilities, a self-progressing network slicing technology is meant to be developed, which is the key objective of this study.
  1. Title: “Blockchain-based Decentralized Identity Management for Secure Access Control in Wireless Networks”
  • Potential Solution: Mainly in wireless networks, secrecy and safety should be improved through modeling a decentralized, blockchain-oriented identity management system. Our project crucially aims at reducing the susceptibilities which are involved in theft of private data and data violations, mitigating dependence on centralized access management and simplifying the authorization processes and access management.
  1. Title: “Federated Learning for Privacy-Preserving Traffic Management in Multi-access Edge Computing (MEC) Environments”
  • Potential Solution: Without impairing the user’s secrecy, we must improve the traffic control techniques by creating a federated learning model especially for MEC platforms. In securing the sensible data, this research solution intends to enhance resource allotment and network traffic directions through executing the data regionally and distributing the model upgrades alone.
  1. Title: “Deep Learning-based Predictive Maintenance for Network Infrastructure”
  • Potential Solution: Regarding the network architecture elements, it is required to forecast breakdowns and enhance service intervals by executing a deep learning framework. On the basis of real-time tracking and past records, this study detects the probable challenges in an effective manner to reduce the operating expenditures and interruptions.
  1. Title: “Cross-Layer Optimization for Energy-Efficient Networking in 5G and Beyond”
  • Potential Solution: In 5G and upcoming networking mechanisms, the energy effectiveness among various layers of the network model must be optimized by us through investigating the cross-layer model techniques. According to the energy accessibility and existing network contexts, this research solution plans to adapt the functional parameters dynamically such as data routing and power usage by modeling productive methods.
  1. Title: “Secure and Scalable Routing Protocol for Underwater Wireless Sensor Networks (UWSNs)”
  • Potential Solution: As a means to solve the specific problems of underwater communication like maximal response time and constrained bandwidth, we must create an advanced routing protocol. By accessing authentic data transmission in applications such as underwater monitoring and oceanographic data accumulation, this study concentrates on improving adaptability and safety.
  1. Title: “Intelligent Traffic Shaping for Enhanced Quality of Service (QoS) in Multimedia Over IP Networks”
  • Potential Solution: To emphasize the multimedia content, focus on constructing the network traffic in an efficient way by creating a smart system. Particularly for VoIP services and video streaming, it is significant to assure the best QoS. In real-time, our study aspires to evaluate network contexts and adapt traffic prioritization by means of machine learning algorithms.
  1. Title: “Virtual Network Function Placement using Genetic Algorithms for Efficient Network Service Chaining”
  • Potential Solution: Among the network, we have to enhance the position of VFNs (Virtual Network Functions) with the aid of genetic algorithms. Effective resource allocation and service integration could be promoted through this project. In terms of network topology and requirements, it intends to place the VFNs in a tactical approach for enhancing the functionality and mitigating the response time in network services.

What are some cyber security research ideas for an undergraduate student? How can I incorporate Wireshark into my research? Thanks in advance everyone.

For assisting an undergraduate scholar in performing a project on cyber security, a set of efficient research topics are provided by us including the abilities of Wireshark. As classified by key objective, methodology and possible outcome, each topic is discussed elaborately:

  1. Analyzing Network Traffic for Malicious Patterns
  • Main Goal of Research: Through the utilization of Wireshark captures, the patterns of harmful network traffic such as malware interaction and DDoS assaults should be recognized.
  • Research Methodology: Apply datasets of harmful network behaviors or acquire the data of network traffic in the course of directed lab-oriented assaults. For detecting the particular outliers or patterns which reflect harmful activities, assess these captures by using Wireshark.
  • Potential Result: In actual time network traffic, identify the common assaults by creating a group of indicators.
  1. Assessing Network Protocols for Security Vulnerabilities
  • Main Goal of Research: By means of Wireshark, we plan to assess the safety criterions of different network protocols such as DNS, HTTP, and FTP. Under various settings, focus on examining their activities in an extensive manner.
  • Research Methodology: For various protocols, simulate the regular and harmful traffic through configuring test platforms. To obtain this traffic data, deploy Wireshark. Mainly for misalignments or susceptibilities, evaluate the data effectively.
  • Potential Result: As reflecting on network protocols, a report must be offered that involves the detailed specifications of its deficiencies. Safety measures ought to be suggested by our project.
  1. Evaluating Encryption Implementations in Network Communications
  • Main Goal of Research: In protecting the network communications, the capability and robustness of encryption protocols such as SSL, TLS are supposed to be explored.
  • Research Methodology: Use Wireshark to gain the encrypted network traffic data. As regards specific susceptibilities or leakages which might be addressed like imperfect certificate authentications or poor cipher suites, try to detect the associated problems.
  • Potential Result: On diverse encryption executions, this project should provide meaningful perceptions with integrity and possible advancements have to be proposed.
  1. Developing a Guide for Identifying Phishing Attempts
  • Main Goal of Research: Regarding the indications of phishing websites or emails, we have to detect the network traffic to recognize the phishing approaches by developing an extensive manual.
  • Research Methodology: Network traffic which is produced through opening the phishing emails or enabling the familiar phishing sites in a well-managed platform should be tracked with the help of Wireshark capabilities.
  • Potential Result: To help individuals and firms in detecting and obstructing phishing assaults, an extensive guide is meant to be offered.
  1. Performance Impact of Security Solutions on Network Traffic
  • Main Goal of Research: It is required to inquire about various cybersecurity findings such as IDS/IPS systems and firewalls, in what way it affects the network functionalities.
  • Research Methodology: At the time of regular functions and depending on assault contexts, deploy Wireshark to acquire the network traffic. Highlighting on metrics such as packet loss, throughput and response time, the performance implications ought to be evaluated.
  • Potential Result: Including the requirements of network functionalities, we need to provide suggestions for stabilizing security precautions.
  1. Investigating IoT Device Security through Network Traffic Analysis
  • Main Goal of Research: Considering the indications of illicit access or susceptibilities, we should evaluate the network traffic to analyze the security approach of IoT devices.
  • Research Methodology: IoT devices must be connected in a network. To obtain their traffic data, take advantage of Wireshark. It is important to search for unencrypted data transmissions, insecure protocols and various security-related problems.
  • Potential Result: General security problems which are involved in IoT devices must be offered in a document. For protecting against these deficiencies, recommend productive strategies.

Through exploring the various areas of networking, we suggest some considerable research topics with potential findings. Incorporating the proficiency of Wireshark, some of the fascinating research topics in the area of cybersecurity are offered by us.

IEEE Networking Research Topics

IEEE Networking Research Topics which are aligned with keywords that attract readers are listed below. We are more than 100+ experts working in this field for more than two decades we have all the tools to carry on with your work without any delay, approach us for a novel and customised research.

  1. Auto-tune: An efficient autonomous multi-path payment routing algorithm for Payment Channel Networks
  2. A Modified Metaheuristic Algorithm for a Home Health Care Routing Problem with Health Team Skill Levels
  3. The Profitable Single Truck and Trailer Routing Problem with Time Windows: Formulation, valid inequalities and branch-and-cut algorithms
  4. The home health care location-routing problem with a mixed fleet and battery swapping stations using a competitive simulated annealing algorithm
  5. Energy-harvesting Q-learning secure routing algorithm with authenticated-encryption for WSN
  6. Automatic Dynamic User Allocation with opportunistic routing over vehicles network for Intelligent Transport System
  7. Integrated production scheduling and vehicle routing problem with energy efficient strategies: Mathematical formulation and metaheuristic algorithms
  8. Novel Fuzzy-based Objective Function for routing protocol for low power and lossy networks
  9. Electric vehicle routing problem considering energy differences of charging stations
  10. Joint dynamic routing and resource allocation in satellite-terrestrial integrated networks
  11. An Efficient QoS-Based Multi-Path Routing Scheme for Smart Healthcare Monitoring in Wireless Body Area Networks
  12. A hybrid Dragonfly algorithm for the vehicle routing problem with stochastic demands
  13. Bi-objective overlapped links vehicle routing problem for risk minimizing valuables transportation
  14. A multi-depot vehicle routing problem with time windows, split pickup and split delivery for surplus food recovery and redistribution
  15. Double-assistant evolutionary multitasking algorithm for enhanced electric vehicle routing with backup batteries and battery swapping stations
  16. An Integer L-shaped algorithm for vehicle routing problem with simultaneous delivery and stochastic pickup
  17. MLPRS: A Machine Learning-Based Proactive Re-Routing Scheme for flow classification and priority assignment
  18. Biomedical extractive question answering based on dynamic routing and answer voting
  19. Upward scalable vehicle routing problem of automobile inbound logistics with pickup flexibility
  20. Joint optimization of parcel allocation and crowd routing for crowdsourced last-mile delivery