Network Security Simulator is comparatively different from the usual network simulation tool since it has the core libraries and network security functionalities to implement all sorts of advanced security mechanisms. In addition, it also includes standard simulator properties to support general simulation operations.
On this page, we will discuss the simulation tool used for Network Security with recent PhD/MS research areas and ideas!!!
In fact, the network simulation comprises the reliable user/attacker/defender models to train and test real / user-generated traffics for assessing security threats and weaknesses. Further, it helps to analyze the collected data and assess the traffic or proposed security mechanisms affecting network efficiency. Now, let’s see about the flow of work in the network simulation, starting from model design to result in the report.
Working of Network Security Simulator
Model Creation – Include the essential network entities based on the project requirement for entire network analysis For instance: central server, firewall, switch, node, service, router, and more
Attack Simulation – For identifying how the system is disrupted in execution
Risk Report Generation – Generate the simulation logs in the form of a report to analyze the result or better solution
Our resource team has long-lasting experience in handling network security simulation tools. So, we are passionate and ready to simulate any kind of complex system. Since we familiarized ourselves with all essential libraries and toolboxes, we have given how the network security simulator project is carried out in the simulation tool.
How do we work on network security simulation?
Gather information about various attacks in network
Design the attack model depends on the custom requirements
Envision of the attack route
Implement the appropriate attack prevention techniques
Suggest the desired result yielding strategies based on comparison
Next, we can see the significant objective of network security for effective simulation. When the scholar meets all the below-specified objectives in their project, then it sure yields the desired result without the challenges.
What are the important goals in network security simulator?
Enable to simulate the real-world attacks to analyze the company’s system functionalities
Visualize the understanding of in what way an attack view the company’s properties
Verify the defensive measures against the attacks and vulnerabilities to ensure security
Evaluate the whole network security schemes and figure out the internal and external threat and attacks
Our research team is currently ongoing research on several research areas of network security. For any networking applications, network security is a must to attain for a project the whole model from attackers. So, we have spent much time identifying unique research ideas for simulating network security simulator projects. Some of them are given below,
Top Research Ideas in Network Security Simulator
Penetration Testing Method for Risk Analysis in Complex Systems
Simulation of Dynamic Cyber Criminal Activities
Hybrid decentralized network simulation for Critical IoT system
Attacker Behavior Prediction based on Adaptive Game Theory
Advance Inspection of Security Susceptibility in Real Deployment
In addition, we also listed out the major research gaps or challenges that are not properly addressed in so far research. These network security issues give tremendous research notions for active scholars. So, use this opportunity as a good opening for your PhD/MS profession
Network Security Research Issues
Security mechanisms need to be robust in the case of dynamic network expansion or contraction without affect system operations
If there is no central authority to take in charge of whole network, then there is a threat of trust issues
Security mechanism must not participate in network node functionalities in IoT system
IDS / IPS
Majorly employed for DDoS attack mitigation and prevention. For that, it is essential to screen the network traffic for identifying pattern variation. But, it is the quite challenging task to perform
Privacy and Security
Most the system fails to create the strong authentication mechanism. So, the attackers have high possibility to enter into the system. Once entered, the attacker may manipulate or completely delete the data without the knowledge of legitimate user.
Control the access rights of the user/devices in order to avoid the malicious activities. Only the effective access model can control the device authority and allow system usage and elasticity
For small-scale system, it uses short communication channel but it not preferable for large-scale system. Since, it deals with huge data in the non-distributed network / server
Next, from the development perspective, we itemized few globally used network simulation tools which are more apt for the security-related field. In below, we have listed out BlockSim, Threat simulator, and NS3 in detail. Apart from these, we also support you in other simulators such as Veins, INET, Mixim, OMNET, INETMANET, SUMO, NETA, and more.
Simulators used for Network Security
This tool is specially used for the blockchain security system modeling. Since, it the extensible simulator to work with blockchain functionalities. Below, we have given the major layer of the blockchain mode with primary tasks,
Quantity of rewards with their distribution
Entity for Reward (transactions in blocks)
Consensus Mechanism (Proof of State / Work)
Block Creation, Implementation and Reception
Peer–to-Peer Broadcast Protocol
Node Configuration to form Network
Data Propagation (transactions in blocks)
Furthermore, we have also given the performance metrics used for assessing the blockchain model. And, these categorized based on nodes, blocks, simulation and transaction.
Total Nodes Counts
Creation Time (Sec)
Number of Simulation Iterations
Overall Simulation Duration
Size (MB) and Fee
Active or Inactive Transaction
Allow to imitate attacks on the modeled network
Stop the historical attacks and events to execute again
Simulate the attack and analyze the network performance
Easy to identify the bugs and breakdowns in the network configuration
Without break continuously monitor and measure the security of the network
Allow to reuse the present security controls rather than go for new tools
Enable to build, test and estimate the network security prototype
Easy to measure the state of real network
Here, it initially configures network components. Then apply various real attacks in the network along with the defense model. Next, execute the model at diverse scenarios and analyze the security at each scenario to evaluate the network performance.
Below, we have mentioned the important attacks that are commonly found in networking projects.
Protocol – Irc
UDP and TCP-SYN Port Scan
Protocol – UDP and TCP
Blackhole and Wormhole Attack
Protocol – AODV
ICMP, TCP-SYN and UDP Flood Attack
Protocol – ICMP, TCP, UDP
Internet Protocol (IP) Scan and Spoofing
Protocol – ICMP
Protocol – IP
ICMP-Echo, TCP-SYN and UDP-Echo Reflection Amplification Attack
Protocol – ICPM, TCP and UDP
Next, we can see the network configuration and scenario execution information. Here, you can find how the Network is formed in the real-time environment and how the network behavior varies in different scenarios.
Network Security Simulation Settings
Include the run-time network topology variation information
For example: In any network, a scenario comprises multiple nodes traffic information
Enable to recycle scenario in various time interval (session)
It refers to the physical structure of the system which denotes whole network information.
For instance: Number of nodes, node link, node belongings, node nature (static / dynamic) and the way node connected with each other
Specific the reusability of the topology when other scenarios are encompassed
Now, we can discuss the characteristics of Networks that are considered at the time of comparative study of different network scenarios. Below, we have given the defensive reasoning for specific comparative study features,
Represent the actual possible deployment environment and infrastructure. For instance: In the case of smart city application, the model should replicate the real environment for assessment
Support dynamic node movement which is the challenging factor in the real-time model deployments
Represent model size in testbed at extreme level. By the by, it also depends on the real-time implementation expectation on multi-services
Enable to assess the different services in the network at the same time by parallel processing
Heterogeneous Message Protocol and Node
Support various types of communication technologies and sensor nodes which have different capabilities. Though it differs in nature, the designed model will enable all network operations
Point toward the level of gaining in-depth knowledge
Support modernized access ability for extensive heterogeneous services through standard simulator
Generally, there are many network Security simulator that are available for both industrial and academic research purposes.
These simulators are differentiated and characterized by the following aspects,
Text-oriented applications (custom-based)
Simulator that support from simple to complicated scenarios
Supportive programming language, tool and infrastructure
Protocol information for managing network traffic
Differs from visualization (display output in graphical representation)
Varies on number of nodes, nodes congestion and node relations
Next, we can see up-to-date research developments in the network security field. These areas gain more attention in the current research community. Beyond this, we also have other interesting research fashions for upcoming scholars.
What are the current trends simulated using network security simulators?
Virtually Distribute Information
Designing and Analyzing Security Infrastructure
Encrypted Data Transmitting and Receiving
Traffic and Attack Modeling
Visualization and Generation of Security Risk Report
So far, we have debated on the network security simulation tool, objective, research issues, areas, and many more. Now, we can see how the performance of the network security is evaluated. Below, we have mentioned the widely used metrics for analyzing the simulated model behavior.
Performance Analysis of Network Security
Degree of Damage Loss
Risk of Vulnerability
System Performance (Index of Irregularity)
End-to-End Latency (Avg.)
Number of Flows Arrival
Packet Loss Ratio (PLR)
Threat Recognition and Prevention
Further, if you are interested to know more information on network security simulator tools or current research areas dissertation on cyber security, then approach us. Here, we are glad to give you the best guidance in both R&D of the network security field.
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