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
The SCALABLE CEO Blog Series continues the important discussion around cyber resilience and cyber security today, with a piece authored by SCALABLE CEO Dr. Rajive Bagrodia. Bagrodia discusses the emergence of threats for cyber-physical systems and a proposed strategy to mitigate security breaches to the system. Stay tuned to the SCALABLE Tuesday Talk Blog Series for a continuous stream of valuable information in the areas of network simulation, cybersecurity, and predictable communications.
Network digital twins offer an efficient, cost-effective way to assess how a network will behave under different operating conditions. For example, consider the enterprise network for a bank which consists of manned teller stations, ATMs, web-portal for customer access on the frontend and a network of primary and backup servers at the backend which process a large volume of transactions 24 hours a day.