PNNL - Scalable Reasoning Systems Analytic Frameworks for Web-Based Visualization

Scalable Reasoning Systems is an analytic framework for developing web-based visualization applications. Using a growing library of both visual and analytic components, custom applications can be created for any domain, from any data source. (e.g. Healthcare, Cyber security, patent portfolio analyses, etc.) .

PNNL - MLSTONES for Detecting Malware Bio-inspired Software Detects and Classifies Malware

Organizations need to be able to quickly identify malware in computer networks to minimize information theft and operational disruption.  But existing cybersecurity tools have been notoriously inadequate at finding real threats vs. innocuous false alarms. That’s because malware is constantly mutating and evolving, and traditional antivirus software has a hard time keeping up with the changes. PNNL is developing a new generation of biology-inspired cybersecurity based on the way health researchers compare proteins associated with early-stage disease.  At SciTech Northwest you will see how the PNNL software package known as MLSTONES uses bio-inspired approaches to classify, characterize, and detect malware. We will demonstration our malware “detector” that will identify current and zero-day (evolving) malware.  

PNNL - Hydra Software Statistical Design for More Accurate Predictions

Hydra is a statistical design process that identifies how to best combine multiple streams of varying information to improve predictive accuracy. It is applicable to the energy, financial, and other sectors where personnel must make accurate, cost-effective decisions based on forecast or predictions. One example is to predict short and long-term energy needs in the power grid. HYDRA works by iteratively tuning, augmenting, and then combining the strengths from an ensemble of competing methods to generate a single aggregate forecasting model that is more accurate and reliable than any ensemble constituent. At SciTech Northwest, you will see how researchers have used distributive, real-time data to make immediate, accurate decisions.

PNNL - “Clique” To See Online Threats Detects and Analyzes Cyber Threats in Real Time

Clique is an advanced data-intensive visual analytic software package that combines visual identification and investigative discovery — enabling detection and analysis of cyber threats in near-real-time.  The ability to detect and respond to threats quickly is a paramount concern that spans government, utilities, financial, and private sectors. These organizations share a common burden of threat identification contained within potentially billions of network transactions each day.  Network defenders now have a mechanism to move seamlessly from high-level views of behaviors down to detailed representations. At SciTech Northwest you will see two views of Clique: 1) Cadence, with a graphical user interface that gives users the ability to see deviations from expected activity, and 2) Trace, which gives analysts a flexible and scalable two-dimensional scatter plot, revealing patterns in large volumes of network data.

PNNL - Ant-Based Cyber Defense Protects large-scale networks and Internet-of-Things devices

Ant-Based Cyber Defense (ABCD), also known as Digital Ants, can protect large-scale networks, up to millions or even billions of devices — think the Internet of Things — without compromising proprietary information between shared networks.  This copyrighted software mimics ant colony behavior, but instead of laying down scent patterns to alert other ants, it uses sensor “ants” to roam around all the computer-operated devices in the network, looking for differences in system operations that could indicate an attack. Unlike traditional security software, ABCD is lightweight (computationally negligible), nimble, costs only pennies per device, and doesn’t pick up or share network data.  Scientific American named it “one of 10 world-changing ideas” because it is more scalable and flexible than centralized security programs. ABCD could be a game changer for companies with large networks to protect and anyone with Internet-connected products. At SciTechNorthwest, you will see how ABCD finds anomalies.

PNNL - SerialTap for Protecting Physical Control Systems Low-Cost Device Improves Situational Awareness, Detects Potential Threats

It’s crucial to keep computer-driven control systems running efficiently, such as those for power systems, manufacturing, oil and gas, and other operational systems. Organizations need better ways of finding potential control system threats before problems occur, the way they do by monitoring computer network traffic. Pacific Northwest National Laboratory has developed a device called SerialTap that does just that. This low-cost, small device connects to both a control system and the computer network without interrupting system operations. SerialTap “translates” the data from the control system so that the network cybersecurity software can analyze it. Control system vendors and integrators who design systems are particularly interested in this patent-pending technology for situational awareness and trouble-shooting. At SciTech Northwest, you’ll see a demonstration showing how SerialTap triggers alarms from the simulated control system of a water tank.

Washington State University - Improving authentication for storage of dangerous and high-end materials

Security seals are used in everything from securing nuclear weapons and waste, to protecting high-end products like diamonds and valuable paintings. In securing such important materials, seals must also be able to indicate if any tampering has occurred. Dr. Eilers has developed a seal technology that, compared to existing approaches, includes an additional layer of active security and potentially allows for simple visual verification and inspection. Attendees will be able to see the seal in action. Dr. Eilers can display the kind of laser set up that will demonstrate whether or not the seal has been tampered with.