Routing Simulator

Routing algorithms is a process which establishes the paths to transport data packets from source to destination. We provide an extensive summary of various kinds of routing algorithms and for performing a research in this technique, some of the important and popular network simulators are also addressed here:

Types of Routing Algorithms

1. Static Routing

• Fixed Routing: In this fixed routing, the data packet proceeds in a path which is predefined and it will not modify until it is upgraded basically.
• Default Routing: The packets in default routing follow a particular path to arrive at any destination. It is mainly employed in stub networks or smaller networks.

2. Dynamic Routing

• Distance Vector Routing: For each probable destination, the involved router sustains a table (vector) of the distance. IGRP (Interior Gateway Routing Protocol) and RIP (Routing Information Protocol) are the incorporated samples.
• Link State Routing: An extensive summary of the network topology is encompassed in each router. It might include IS-IS (Intermediate System to Intermediate System) and OSPF (Open Shortest Path First).
• Path Vector Routing: It supports the path details which data packet passes over to expand the distance vector techniques, as it is deployed in Border Gateway Protocol (BGP).

3. Multipath Routing

This type of routing is specifically tailored for employing several optional paths to offer proper load balancing and verbosity through the network.

4. Hierarchical Routing

For the purpose of enhancing traffic and decreasing the size of routing tables, hierarchical routing is primarily applied in large networks. This routing regulates routers into hierarchical sectors or fields.

5. Geographic Position Assisted Routing

In ad hoc and sensor networks, it is often utilized in analyzing the routing decisions where it is carried out on the basis of destination’s physical location.

6. Flow-based Routing

This flow-based routing evaluates the flow features like type of service, source and destination to represent the routes.

7. Adaptive Routing

According to existing network circumstances like topology modifications and traffic burdens, adaptive routing efficiently adapts the routes among sender and receiver.

Network Simulators for Routing Algorithm Analysis

1. NS2/NS3 (Network Simulator)

• Type: It is an Open-source simulation tool.
• Application: Across wired and wireless like local and satellite networks, NS2/NS3 is appropriate for multicast protocols, simulating TCP and routing processes.

2. OMNeT++

• Type: OMNet++ is specifically designed for constructing network simulators, as it is a flexible, expansive and component-based C++ simulation library and environment.
• Application: This simulator has capability to simulate various networks, but it is mainly tailored for computer networks.

3. Mininet

• Type: This is often based on Linux and it is a license-free network simulator.
• Application: For simulating SDN (Software Defined Networking) platform, Mininet is especially beneficial that involves AND controllers and techniques.

4. GNS3 (Graphical Network Simulator)

• Type: GNS3 is an open-source network software emulator.
• Application: It is often employed to simulate sophisticated networks and access the integration of virtual and real devices. Moreover, it assists virtual machines and simulation of routers by using real IOS images.

5. Packet Tracer

• Type: It is efficiently tailored by Cisco systems, as packet tracer is a cross-platform visual simulation tool.
• Application: Packet tracer allows consumers to replicate modern computer networks and develop network topologies. In addition to that, it simulates the configurations of switches and Cisco routers.

6. NetSim

• Type: For the purpose of protocol designing and simulation, NetSim is the foremost simulation software.
• Application: To simulate networks and interpret the activities in an extensive manner, NetSim accesses the users as well as it assists a broad variety of protocols and techniques.

7. OPNET

• Type: Reflecting on existing circumstances, it is a section of Riverbed Technology and OPNET is a powerful simulation tool.
• Application: As regards networking protocols, techniques and devices, OPNET provides thorough evaluation and performance assessment.

What are some project ideas in networking and security?

In accordance with passion and level of expertise on the subject of networking and security, few practically workable project concepts which encompass diverse perspective of these domains along with required skills and tools are suggested by us:

1. Secure Chat Application

• Explanation: To assure secrecy and security for consumers, model an end-to-end encrypted chat application. It includes specific properties like self-destructing messages and for secure communications, it makes use of protocols such as TLS (Transport Layer Security).
• Expertise/Tools: Encryption libraries, python and Web Socket for practical communication.

2. Network Intrusion Detection System (NIDS)

• Explanation: For detecting questionable behaviors and probable attacks, execute a system to observe network traffic. Evaluate traffic patterns and identify outliers by utilizing machine learning techniques.
• Expertise/Tools: Pcap libraries for packet capture, python and Scikit-learn or Tensorflow.

3. Decentralized File Sharing System

• Explanation: A peer-to-peer (P2P) file sharing model has to be developed which performs without the need of the main server. Anonymous file sharing and integrity authentication properties might be executed.
• Expertise/Tools: BitTorrent protocol interpretation, cryptographic libraries for secure file transmission and python.

4. Automated Penetration Testing Framework

• Explanation: In network systems and applications, generate the process of identifying and obstructing risks by creating an efficient environment. In the process of addressing common security tasks, organisations are acquiring benefits from this tool.
• Expertise/Tools: Network scanning tools (Nmap), python and Metasploit framework.

5. IoT Security Platform

• Explanation: For IoT devices, design an environment which offers security findings. Considering probable attacks, it involves secure firmware upgrades, surveillance of device behavior and device verification.
• Expertise/Tools: Python, OpenSSL for encryption and MQTT for IoT communication.

6. Blockchain-based Secure Voting System

• Explanation: To verify security, consistency and accuracy of votes, deploy blotching technology to model and execute a secure online voting system.
• Expertise/Tools: Web 3.js for blockchain communication, cryptographic libraries for voter verification and solidity for smart agreements.

7. SDN (Software-Defined Networking) Security Enhancements

• Explanation: Among SDN (Software-Defined Networking) environments, improve security in SDN controllers or techniques like generating novel intrusion detection systems or firewall measures through investigating security issues in SDN settings and suggest possible findings.
• Expertise/Tools: Mininet for SDN simulation, Python and OpenFlow protocol.

8. Cyber Threat Intelligence Platform

• Explanation: From numerous sources, gather, accumulate and assess cyber threat data to offer actionable insights by establishing a productive environment. For automated categorization and preference of attacks, apply machine learning algorithms.
• Expertise/Tools: Machine learning libraries, Elasticsearch for data storage and python.

9. Secure Cloud Storage System

• Explanation: Along with advanced security characteristics, formulate a cloud storage system like zero-knowledge privacy; secure file sharing and client-side encryption.
• Expertise/Tools: Flask for web application, python and cryptographic libraries.

10. WiFi Security Analyzer

• Explanation: Regarding susceptibilities like deployment of out of date protocols, encryption techniques and rogue access points, model a tool which evaluated Wi-Fi networks. Advance the security measures by providing efficient suggestions.
• Expertise/Tools: Wireless networking knowledge, Scapy for packet analysis and python.

11. VPN (Virtual Private Network) Protocol Comparison Tool

• Explanation: Depending on various conditions, contrast the performance and security of various VPN (Virtual Private Network) protocols through designing a relevant tool. According to the requirement of users, it aids in choosing effective protocol.
• Expertise/Tools: Network simulation tools, python and Open VPN or Wire Guard.

12. Digital Forensics Tool

• Explanation: This research mainly highlights maintenance, reviews and derivation of digital evidence and also assists in restoration and exploration of material which is identified in digital devices by establishing a tool for digital forensic analysis.
• Expertise/Tools: Python, data recovery algorithms and system analysis.