Network Security Simulator

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

• Scalability
  • Security mechanisms need to be robust in the case of dynamic network expansion or contraction without affect system operations
• Trust Control
  • If there is no central authority to take in charge of whole network, then there is a threat of trust issues
• Interoperability
  • 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.
• Access Control
  • 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
• Data Capacity
  • 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

• BlockSim
  • 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,
    • Incentive Layer
      • Quantity of rewards with their distribution
      • Incentive Design
      • Entity for Reward (transactions in blocks)
    • Consensus Layer
      • Fork Resolution
      • Consensus Mechanism (Proof of State / Work)
      • Block Creation, Implementation and Reception
    • Network Layer
      • 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.
    • Nodes
      • Total Nodes Counts
    • Blocks 
      • Latency (Sec)
      • Reward
      • Creation Time (Sec)
      • Capacity (MB)
    • Simulation
      • Number of Simulation Iterations
      • Overall Simulation Duration
    • Transaction
      • Creation Time
      • Latency (Sec)
      • Designing Method
      • Size (MB) and Fee
      • Active or Inactive Transaction
• Threat Simulator
  • 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
• NS3
  • 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.
    • Botnet Attack
      • 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

• Scenario.
  • 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)
• Network Structure
  • 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,

• Environs Nature
  • 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
• Mobility
  • Support dynamic node movement which is the challenging factor in the real-time model deployments
• Scale
  • Represent model size in testbed at extreme level. By the by, it also depends on the real-time implementation expectation on multi-services
• Concurrency
  • 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
• Prime Use-Case
  • Point toward the level of gaining in-depth knowledge
• Federation
  • 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

• Attack Threat
  • Severity Level
  • Degree of Damage Loss  
  • Risk of Vulnerability
• System Performance (Index of Irregularity)
  • Throughput
  • End-to-End Latency (Avg.)
  • Number of Flows Arrival
  • Packet Loss Ratio (PLR)
• Security
  • 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.

Related Pages