In the domain of computer networks, there are several thesis topics that are progressing in contemporary years. The following are numerous captivating computer network thesis topics and ideas that extend a scope of passion that is from initial networking concepts to the advanced in network mechanisms:
Performance Optimization in Software-Defined Networking (SDN)
Concentrating on flow table management, network topology implementation, and controller scalability, aim to explore policies for enhancing the effectiveness of SDN infrastructures.
Security Challenges in Quantum Networking
Specifically, in quantum key distribution (QKD), investigate the safety impacts and limitations of quantum networking. In a post-quantum domain, focus on examining the possible risks.
Machine Learning Techniques for Network Traffic Analysis
For examining and forecasting network congestion trends, it is appreciable to construct and assess machine learning systems including applications in QoS optimization, congestion management, and anomaly identification.
Energy-Efficient Protocols in Wireless Sensor Networks (WSNs)
Intending to prolong the lifetime of the network when sustaining sufficient effectiveness based on data precision and delay, formulate and simulate energy-effective interaction protocols for WSNs.
Blockchain Applications in Network Security
Concentrating on regions like identity management, safer routing, and decentralized data integrity authentication, it is appreciable to research the purpose of blockchain mechanism for improving network protection.
IoT Connectivity Solutions in Smart Cities
Encompassing network infrastructure design, interoperability problems, and scalability limitations, focus on investigating the limitations and approaches for IoT connectivity in smart cities.
Vehicular Ad-Hoc Networks (VANETs) for Intelligent Transportation Systems
With a concentration on interaction protocols and data distribution policies, it is approachable to research the structure, deployment, and assessment of VANETs for enhancing road protection and congestion effectiveness.
5G Network Slicing for Diverse Application Requirements
To assist various application necessities like ultra-reliable low-latency communications (URLLC), massive machine type communications (mMTC), and enhanced mobile broadband (eMBB), investigate the concept of network slicing in 5G networks.
Advanced Wi-Fi Technologies and Their Impact on Networking
Mainly, in high-intensity platforms, it is beneficial to examine the influence of novel norms like Wi-Fi 6/6E on network effectiveness, efficacy, and capability.
Privacy-Preserving Techniques in Mobile Networks
Determining factors like encrypted data exploration, user secrecy, and location confidentiality, aim to construct and assess approaches for conserving user confidentiality in mobile networks.
Network Function Virtualization (NFV) Deployment Strategies
Concentrating on factors like resource allotment, fault tolerance, and service chaining, it is appreciable to explore policies for implementing and handling network operations effectively by employing NFV.
Underwater Acoustic Communication Networks
This project has the capability to solve limitations such as multipath propagation, node mobility, and signal attenuation. Mainly, for applications in oceanographic data gathering, submarine interaction, and ecological tracking, aim to research the structure and enhancement of underwater acoustic interaction networks.
What are some good topics for a Master’s thesis in computer networks? Trending ones would be more helpful.
There are several topics that are evolving in the field of computer networks. But, some are determined as trending and effective for a Master’s thesis. Considering the advancement in study, mechanism, and business actions, below we offer numerous popular and modern topics for master’s thesis in computer networks.
Network Slicing in 5G and Beyond
To adapt various service necessities such as URLLC, mMTC, and eMBB, it is better to investigate the deployment and management of network slicing in 5G networks and aim to explore its progression towards 6G.
Edge Computing for IoT Applications
Encompassing case studies in healthcare, industrial IoT, and smart cities, concentrate on how edge computing has the capability to solve bandwidth, delay, and confidentiality limitations in IoT environments.
AI and ML for Network Security
In order to identify, examine, and reduce cyber assaults in actual-time, construct AI or ML frameworks with a concentration on new assault points in IoT networks or cloud platforms.
Quantum Communication and Networking
By investigating quantum key distribution (QKD) or the advancement of quantum-resilient cryptographic methods, it is approachable to research the impacts of quantum computing on network protection.
Software-Defined Networking (SDN) for Flexible Network Management
Concentrating on dynamic resource allotment, autonomous network management, or SDN applications in data center networks, aim to examine the purpose of SDN to improve network performance and adaptability.
Blockchain for Network Security and Privacy
In improving network safety and confidentiality, encompassing decentralized identity management, DNS protection, or safety IoT interaction, investigate the potential of blockchain technology.
Wireless Network Technologies for High-Density Environments
Specifically, in high-intensity platforms such as airports, stadiums, and city regions, it is approachable to investigate the effectiveness and limitations of implementing next generation wireless mechanisms such as 5G NR-U, Wi-Fi 6.
Federated Learning for Privacy-Preserving Data Analysis
Concentrating on usage situations in mobile networks or IoT, research the application of federated learning in networks to function data analysis without convincing user confidentiality.
Vehicular Communication Networks for Autonomous Driving
The network infrastructures and interaction protocols relevant to vehicular ad hoc networks (VANETs) has to be explored. In assisting driving and intelligent transportation frameworks, examine the contribution of VANETs.
Energy-Efficient Networking in Wireless Sensor Networks (WSNs)
Intending to prolong the lifetime of the network when assuring the consistent data gathering and transmission, concentrate on formulating energy-efficient infrastructures and protocols for WSNs.
Underwater Wireless Communication for Subsea IoT
Concentrating on applications in ecological tracking, underwater IoT, and subsea investigation, it is better to examine the limitations and approaches for underwater wireless interaction.
Cyber-Physical Systems (CPS) Security
The safety limitations and approaches in cyber-physical frameworks have to be explored by concentrating on crucial architecture such as transportation models, production, and power grids.
Multi-Access Edge Computing (MEC) in 5G Networks
It is appreciable to research the incorporation of MEC in 5G networks in order to offer low-delay, high-bandwidth services to end-users, encompassing application settings in cloud gaming, AR/VR, and actual-time analytics.
Zero Trust Architecture for Network Security
The policies and deployment of zero trust infrastructure in advanced network platforms has to be investigated, and it is beneficial to concentrate on its application in distant work settings, cloud services, and IoT.
Computer Network Thesis Topics & Ideas
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Design and analysis of cyber warfare model with intelligent predictive stochastic networks for attack–defend strategies on critical infrastructures
Network governance institutionalization: Creating mutual value by harnessing and avoiding conflicts in interorganizational networks
DA-DMPF: Delay-aware differential multi-path forwarding of industrial time-triggered flows in deterministic network
Cognition’s dependence on functional network integrity with age is conditional on structural network integrity
Finding critical nodes in a complex network from information diffusion and Matthew effect aggregation
Neural networks based on power method and inverse power method for solving linear eigenvalue problems
Non-parameterized ship maneuvering model of Deep Neural Networks based on real voyage data-driven
Detection of false data injection attack in power grid based on spatial-temporal transformer network
Calculations of fractional derivative option pricing models based on neural network
A Secure Scheme for Network Coding with Deep Learning in Industrial Internet of Things
EEG-based sleep staging via self-attention based capsule network with Bi-LSTM model
Multiple-input streams attention (MISA) network for skeleton-based construction workers’ action recognition using body-segment representation strategies
Collar recognition and matching of clothing style drawings based on complex networks
fMRI-based spiking neural network verified by anti-damage capabilities under random attacks
A Multistate Network Approach for Resilience Analysis of UAV Swarm considering Information Exchange Capacity
Performance characterization and profiling of chained CPU-bound Virtual Network Functions
IRS-enabled NOMA communication systems: A network architecture primer with future trends and challenges
MAC protocols for high capacity and increased reliability in bistatic backscatter networks for internet of things
Dopamine multilocus genetic profile influence on reward network in chronic insomnia disorder with depression
Spatial variability in topology, connectivity and permeability of deformation band networks: Insights from the Jurassic Entrada Sandstone, Utah
Real and OPNET modeling and analysis of an enterprise network and its security structures
OPNET-based modeling and simulation study on handoffs in Internet-based infrastructure wireless mesh networks
Assessing readiness of IP networks to support desktop videoconferencing using OPNET
Using OPNET to Model and Evaluate the MU Performance based on IEC 61850-9-2LE
Performance evaluation for on-demand routing protocols based on OPNET modules in wireless mesh networks
OPNets: An object-oriented high-level Petri net model for real-time system modeling
Co-simulation platform for interconnected power systems and communication networks based on PSS/E and OMNeT++
OMNet: Object- Perception Multi-Branch Network for Pedestrian Re-Identification
MiniNet: Dense squeeze with depthwise separable convolutions for image classification in resource-constrained autonomous systems
Investigating the possibility of speeding up Mininet by using Netmap, an alternative Linux packet I/O framework
MiniNet: An extremely lightweight convolutional neural network for real-time unsupervised monocular depth estimation
The applications of nature-inspired meta-heuristic algorithms for decreasing the energy consumption of software-defined networks: A comprehensive and systematic literature review
Optimized traffic engineering in Software Defined Wireless Network based IoT (SDWN-IoT): State-of-the-art, research opportunities and challenges
Software-Defined Networking approaches for intrusion response in Industrial Control Systems: A survey
Deep-discovery: Anomaly discovery in software-defined networks using artificial neural networks
Nature-inspired intrusion detection system for protecting software-defined networks controller
A novel combinatorial multi-armed bandit game to identify online the changing top-K flows in software-defined networks
Deep learning-driven multi-objective dynamic switch migration in software defined networking (SDN)/network function virtualization (NFV)-based 5G networks
Traffic-aware efficient consistency update in NFV-enabled software defined networking
Differentiated analysis for music traffic in software defined networks: A method of deep learning