The process of starting network simulation in EVE-NG is examined as both intriguing and challenging. The following is an instruction that assist you to begin with network simulation in EVE-NG in an efficient manner:
Setting Up EVE-NG
- Installation Options:
- As a virtual machine or on bare-metal hardware, EVE-NG can be installed. The way of installing EVE-NG as VM on VirtualBox, VMware Workstation, or VMware ESXi is suggested for most of the users.
- Generally, there are two editions of EVE-NG: The Professional Edition that is payable and the Community Edition which is free of cost. For most of the learning and examining usage, the Community Edition is more appropriate.
- System Requirements:
- Specifically, when you intend to execute complicated simulations or numerous devices, it is advisable to make sure that your system aligns the minimal necessities. Typically, sufficient RAM, storage, and CPU are determined as most significant.
- Downloading and Installing:
- From the official EVE-NG website or blog, aim to download the EVE-NG ISO or the pre-developed VM appliance.
- To establish EVE-NG on your selected environment, it is approachable to adhere to the installation guidelines that are offered in the EVE-NG documentation.
Constructing Your First Simulation
- Accessing EVE-NG:
- By utilizing a web browser access EVE-NG, after installation. Generally, the default URL is http://<EVE-NG IP address>.
- Adding Device Images:
- You must append device images to EVE-NG, before you can develop a network simulation. Images from Arista, Cisco, Juniper, and many other providers, are assisted by EVE-NG.
- In order to upload and arrange device images, focus on adhering to the EVE-NG documentation. Typically, the procedure of acquiring judicial copies of the software images, uploading them to EVE-NG in an efficient manner, and establishing the required templates are encompassed.
- Creating a New Project:
- It is appreciable to construct a novel project in the EVE-NG interface. To arrange and include your network simulations, projects are employed.
- Adding Devices to Your Project:
- Begin the process of appending network devices, with your project constructed. From the toolbar, you can drag and drop devices on the left into the major workplace.
- By clicking on the node of the device and dragging a connection to another device, aim to link devices. Generally, EVE-NG has the capability to assist different connection kinds, thereby simulating actual-world network connectivity.
- Configuring Devices:
- You can begin each device and access its support by EVE-NG, as soon as your devices are located and linked. Based on the device, by employing web interfaces or CLI you can arrange devices in the same way you would in an actual network.
- Simulation and Testing:
- You can simulate network settings, examine configurations, train troubleshooting, and more, once your devices are arranged.
What are the hot research topics in network security?
There are several research topics that are progressing in the domain of network security, but some are considered as efficient. We offer few of the trending and effective research topics in the network security:
- Zero Trust Architecture (ZTA)
- Outline: Zero Trust is considered a safety framework that considers every user and devices that could possibly be impacted from inside as well as outside the network of companies. Therefore, before enabling access to sources, it is advisable to validate.
- Areas of Focus: Influence on network effectiveness, user authentication approaches, deployment policies, and incorporation with previous architecture.
- Quantum Cryptography and Post-Quantum Cryptography
- Outline: This study concentrates on constructing quantum-resilience cryptographic methods that have the capability to protect interactions from quantum assaults. Cultural cryptographic methods could have become outdated due to the approach of quantum computing.
- Areas of Focus: Lattice-related cryptography, cryptanalysis of post-quantum methods, quantum key distribution (QKD), and hash-based signatures.
- AI and Machine Learning in Cybersecurity
- Outline: To forecast, identify, and react to cyber assaults in actual-time, aim to utilize AI and machine learning. The procedure of examining network congestion in order to detect abnormalities and automated threat intelligence are encompassed.
- Areas of Focus: AI in intrusion detection systems (IDS), AI-related anomaly identification, the ethics of AI in cybersecurity, and adaptive safety strategies.
- Blockchain for Network Security
- Outline: The capability of blockchain technology in improving network safety by its decentralized essence, clearness, and unchangeability has to be investigated.
- Areas of Focus: Decentralized identity management, avoiding DDoS assaults, secure IoT networks with blockchain, and blockchain-related safer interaction protocols.
- Secure IoT Networks
- Outline: Generally, this study concentrates on creating safety protocols and infrastructures to secure IoT devices and the data they produce. Frequently, IoT devices have insufficient powerful protection, thereby making them susceptible to assaults.
- Areas of Focus: Secure firmware upgrades, confidentiality-preserving data collection, lightweight cryptographic methods for IoT, and IoT device authentication and authorization.
- Software-Defined Networking (SDN) Security
- Outline: Protecting the centralized control plane and the interaction among the control and data planes is significant, when SDN becomes more popular.
- Areas of Focus: Safer SDN-enabled IoT networks, protecting SDN from DDoS assaults, SDN controller protection, and data plane protection.
- Privacy Enhancing Technologies (PETs)
- Outline: It is approachable to construct mechanisms and protocols in such a way that support in securing confidentiality of individuals when data travels among the internet.
- Areas of Focus: Differential privacy in network protocols, anonymous interaction frameworks, and safer multi-party computation for data sharing.
- 5G and Beyond Network Security
- Outline: Specifically, with the initiation of network slicing and edge computing, assuring the protection of these high-momentum, low-delay networks is important due to the deployment of 5G networks.
- Areas of Focus: Protecting edge computing, confidentiality problems, safety for 5G network slicing, and authentication and access control in 5G networks.
- Threat Intelligence Sharing
- Outline: This topic shares threat intelligence between firms or companies in order to enhance entire cybersecurity measures, but also creates trust and confidentiality limitations.
- Areas of Focus: Approaches for safer and anonymous threat intelligence sharing, assessing the performance of shared threat intelligence, and judicial and moral aspects.
- Homomorphic Encryption
- Outline: Typically, the calculation on ciphertexts are permitted by encryption, thereby generating an encrypted outcome. Further, when decrypted that outcome aligns the outcome of functions that are carried out on the plaintext.
- Areas of Focus: Realistic applications of homomorphic encryption, performance enhancement, and purpose in cloud computing to assure data confidentiality.
NETWORK SIMULATOR EVE NG PROJECTS
It seems like NETWORK SIMULATOR EVE NG PROJECTS are gaining popularity lately. Take a look at the latest topics we’ve helped students with. We always customize our research work to fit your requirements. For over 18 years, we’ve been assisting scholars with our innovative projects, so make sure to stay connected with phdprime.com.
- A branch-and-price method for a two-echelon location routing problem with recommended satellites
- Adaptive large neighborhood search algorithm for the Unmanned aerial vehicle routing problem with recharging
- A branch-and-cut algorithm for the one-commodity pickup and delivery location routing problem
- Last mile delivery routing problem using autonomous electric vehicles
- A branch-and-price-and-cut algorithm for time-dependent pollution routing problem
- Fr-Aro: Secure interference aware fuzzy based clustering and hybrid optimization driven data routing in VANETs
- Increasing efficiency for routing in internet of things using Binary Gray Wolf Optimization and fuzzy logic
- Increasing efficiency for routing in internet of things using Binary Gray Wolf Optimization and fuzzy logic
- Optimization of ship routing and allocation in a container transport network considering port congestion: A variational inequality model
- Reinforcement learning based routing for time-aware shaper scheduling in time-sensitive networks
- A bi-objective time-dependent vehicle routing problem with delivery failure probabilities
- A quadrant shrinking heuristic for solving the dynamic multi-objective disaster response personnel routing and scheduling problem
- Integrated ground vehicle and drone routing with simultaneous surveillance coverage for evading intentional disruption
- Reconfiguration of last-mile supply chain for parcel delivery using machine learning and routing optimization
- Dynamic electric vehicle routing problem considering mid-route recharging and new demand arrival using an improved memetic algorithm
- Learn global and optimize local: A data-driven methodology for last-mile routing
- The vehicle routing problem with underground logistics: Formulation and algorithm
- Maximizing robustness of aircraft routing with heterogeneous maintenance tasks
- Multi-layer capsule network with joint dynamic routing for fire recognition
- Designing a multi-period dynamic electric vehicle production-routing problem in a supply chain considering energy consumption
