CyberBattleSim vs. Riverbed Modeler (discontinued)

Cyberbattle SIm is actually a simulation application with the implementation of Python Based open AI to implement automated cyber agents and to deploy them on stimulating environments and networks with vulnerabilities and attack vectors to analyze and implement the learnings.

Incentivized

Metropolitan network modeling is possible, small-large or even huge scale organization network modeling is possible.

Less appropriate for home user network modeling, OPNET should only be used to model large scale solutions. Great industry tool.

Incentivized

• Python Based open AI.
• Uses reinforcement Algorithms for Training Purpose to Agents.
• Simulation environment sets different for Attacker and Defender.

Incentivized

• Allows the USE of C++ In Routing protocol of individual switch nodes
• Easy to use, Easy to setup a working network model, allows to even have computers and all sorts of peripherals like IP Printers etc
• You can stress test your network simulation, absolutely fantastic tool, bridges Monte Carlo with visual representations of the network in question
• Great Customer Support
• Good training articles available online, used as a staple in university setting.

Incentivized

• Needs to create various nodes on the network and have to indicate that services are running, it might be good if automated.
• I think everything is perfect, teaches us a lot.

Incentivized

• Riverbed Modeler needs to improve the scenarios of LAN MAN WAN, as the available scenarios under all of these follow a simple area structure that's not connected to the ISP when it comes to simulation. This generates dummy traffic.
• Riverbed Modeler also needs to work on the selection of result sets so that, as with most designed networks, we can select any result parameter to show. All the parameters are displayed, whether they are relevant or not. It needs to display only relevant result parameters to select.
• The back-end TCP/IP model needs more clarity to expose the structure to some changes.

Incentivized

As compared to the battles with AttackIQ both applications are stable and stimulate the work given, However, while using the attackIQ the architect can automate the testing process and engineering team and fill the gaps. And it offers robust security through continuous, automated security control validation.

Incentivized

There exist many simulation simulators like NS2, but Riverbed Modeler is one of the simulators which introduces the GUI interface for networking. The platform just changes the scenario of networking, as it makes it so easy to understand and implement. The functionality almost listed every possible network in the world, which is not given by any other tool. Moreover, it is releasing updated versions to match with the latest technology.

Incentivized

• Nice Implication for learning.
• Open source application so no Investment is applicable.
• Helps to understand and analyse the networks security for the device.
• Trigger alerts in XDr or SIEM systems.

Incentivized

• It comes with a costly paid license, but simulating the network before actual deployment saves a lot of costs, in case after deployment we feel performance is not good and we need to change. This would waste a lot of money, but Riverbed saves this money.
• Its OPNET GURU academic edition is available free of cost, but with limited functionality, which is good for students in maximum case. This will degrade our sale of Riverbed Modeler.
• A one-time investment in Modeler saves a lot of cost regarding networks, topology, designing, and provides a lifetime license with updates.

Incentivized