QualNet: (network simulator) accurate, faster-than-real-time network simulation software that can scale to large enterprise-wide systems.
EXata: (network simulator and emulator) for real-time network emulation and system-in-the-loop operation, integrating hardware, applications, and humans.
EXata Cyber: (EXata plus the Cyber Behavior Model Library) evaluate networks for their resiliency or vulnerability to cyber attack.
Joint Network Emulator (JNE)
The Joint Network Emulator (JNE) GOTS library is a live-virtual-constructive network simulation platform for the development, test, and evaluation of battlefield communications networks, applications, and net-centric systems. JNE provides a realistic network operational environment to test and evaluate performance at scale for a fraction of the cost of field exercises.
Network Defense Trainer (NDT) integrates real and simulated cyber-attacks, wired and wireless virtual networks, live and virtual equipment and applications, and traditional kinetic warfare training simulators into a full, instrumented, synthetic cyber warfare training environment.
Cyber Test, and Analysis
StealthNet enables an environment and methodology for testing blue systems against cyber attacks in order to discover and validate vulnerabilities and to assess mission impact. It has the ability to interoperate in both live and virtual environments helping to determine and understand user behavior on how people communicate with each other in a distributed test-bed with live cyber threats.
New and Enhanced Features, Improved Productivity
Press Release Feed
Network simulation offers an efficient, cost-effective way to analyze application and network performance, identify potential problems, understand the root cause, and assess alternative mitigation strategies. For best results, the analysis should leverage an at-scale, accurate model of the network and the operating environment.
Wireless network simulation offers an efficient, cost-effective way to assess how a network will behave under different operating conditions. For analysts and planners to derive maximum benefits, the results generated by the simulation must accurately reproduce the behavior of the physical network. This accuracy directly depends on the fidelity of the model, i.e., how closely the model represents the characteristics of the network and the operational environment.