Lifeboat Foundation

As the U.S. military has finalized a space for its first micro-nuclear reactor. The Department of Air Force has chosen the Eielson Air Force Base (AFB) in Alaska to introduce this next-generation energy capability, a press release said.

The US military has been inclining towards electronic warfare along with nuclear reactors for cleaner sources of energy. Last month, we reported that the Department of Defense was planning to install a portable nuclear reactor in Idaho.

It is also being said that the micro-reactor pilot is being built in response to the National Defense Authorization Act of 2019 that requires potential locations to be identified to build and operate a microreactor before 2027. The Air Force will work in collaboration with the Department of Energy, and the Nuclear Regulatory Commission to execute the project of the micro-reactor pilot, and to ensure this pilot is conducted with safety as the number one priority, the press release said. This facility will have a license from the U.S. Nuclear Regulatory Commission and will operate commercially.

ABINGDON, England — Harnessing fusion energy into something commercially viable — and maybe, ultimately, a clean source of power that replaces fossil fuels for centuries to come — has long been considered by some as the ultimate moonshot.

But investor interest in fusion energy continues to slowly rise, and the number of startups in the field is multiplying, with an estimated 1,100 people in several countries making their living at these firms. An industry is taking shape, with a growing network of companies that supply highly specialized equipment, like the components of the powerful magnets that fusion devices require.

The British government even recently saw the need to issue regulations for fusion energy — a kind of milestone for a burgeoning industry.

Nuclear energy is becoming more popular by the day and is being considered an eco-friendly option for the energy crisis we are going through. The US Department of Energy has dedicated US$20 million to a project that is based in Arizona that will use nuclear energy to make green hydrogen. They will be testing its capability as a liquid backup battery and as a secondary product for nuclear power installations.

The project will be headed by PNW Hydrogen LLC. They will build hydrogen production plants on-site at the Palo Verde Nuclear Generating Station in Phoenix, Arizona. Storage tanks will be used that will be able to store six tonnes of hydrogen onsite, representing about 200 MWh of energy that can be converted back into electricity and given to the grid when demand is more than usual.

The hydrogen will also be “used to make chemicals and other fuels,” and the project will gauge how nuclear stations can export and sell extra energy as an extra revenue stream. It is said that in the future, baseline power providers like nuclear stations will only be needed when the sun’s not shining or the wind’s not blowing. Hence, it makes sense to use this technology to make use of it and produce energy in the downtime.

But how? ⚛ 🛢

# engineering.

(2021). Nuclear Technology: Vol. 207 No. 8 pp. 1163–1181.

Focusing on nuclear engineering applications, the nation’s leading cybersecurity programs are focused on developing digital solutions to support reactor control for both on-site and remote operation. Many of the advanced reactor technologies currently under development by the nuclear industry, such as small modular reactors, microreactors, etc., require secure architectures for instrumentation, control, modeling, and simulation in order to meet their goals. ¹ Thus, there is a strong need to develop communication solutions to enable secure function of advanced control strategies and to allow for an expanded use of data for operational decision making. This is important not only to avoid malicious attack scenarios focused on inflicting physical damage but also covert attacks designed to introduce minor process manipulation for economic gain. ²

These high-level goals necessitate many important functionalities, e.g., developing measures of trustworthiness of the code and simulation results against unauthorized access; developing measures of scientific confidence in the simulation results by carefully propagating and identifying dominant sources of uncertainties and by early detection of software crashes; and developing strategies to minimize the computational resources in terms of memory usage, storage requirements, and CPU time. By introducing these functionalities, the computers are subservient to the programmers. The existing predictive modeling philosophy has generally been reliant on the ability of the programmer to detect intrusion via specific instructions to tell the computer how to detect intrusion, keep log files to track code changes, limit access via perimeter defenses to ensure no unauthorized access, etc.

Continue reading “Covert Cognizance: A Novel Predictive Modeling Paradigm” »

(2021). Nuclear Science and Engineering: Vol. 195 No. 9 pp. 977–989.

Earlier work has demonstrated the theoretical development of covert OT defenses and their application to representative control problems in a nuclear reactor. Given their ability to store information in the system nonobservable space using one-time-pad randomization techniques, the new C² modeling paradigm⁶ has emerged allowing the system to build memory or self-awareness about its past and current state. The idea is to store information using randomized mathematical operators about one system subcomponent, e.g., the reactor core inlet and exit temperature, into the nonobservable space of another subcomponent, e.g., the water level in a steam generator, creating an incorruptible record of the system state. If the attackers attempt to falsify the sensor data in an attempt to send the system along an undesirable trajectory, they will have to learn all the inserted signatures across the various system subcomponents and the C² embedding process.

We posit that this is extremely unlikely given the huge size of the nonobservable space for most complex systems, and the use of randomized techniques for signature insertion, rendering a level of security that matches the Vernam-Cipher gold standard. The Vernam Cipher, commonly known as a one-time pad, is a cipher that encrypts a message using a random key (pad) and can only be decrypted using this key. Its strength is derived from Shannon’s notion of perfect secrecy ⁸ and requires the key to be truly random and nonreusable (one time). To demonstrate this, this paper will validate the implementation of C² using sophisticated AI tools such as long short-term memory (LSTM) neural networks ⁹ and the generative adversarial learning [generative adversarial networks (GANs)] framework, ¹⁰ both using a supervised learning setting, i.e., by assuming that the AI training phase can distinguish between original data and the data containing the embedded signatures. While this is an unlikely scenario, it is assumed to demonstrate the resilience of the C² signatures to discovery by AI techniques.

Continue reading “Validation of Covert Cognizance Active Defenses” »

Nuclear power is going portable in the form of relatively lightweight, cost-effective microreactors. A team of former SpaceX engineers is developing the “world’s first portable, zero-emissions power source” that can bring power to remote areas and also allows for quick installation of new units in populated areas, a press statement revealed.

Last year, the team secured $1.2 million in funding from angel investors for their startup Radiant to help develop its portable nuclear microreactors, which are aimed at both commercial and military applications.

Could combining solar panels plus farming be a viable solution to the growing demand for food production and energy demand? Let’s take a closer look at electrifying our crops (not literally electrifying crops) … well, adding solar to our farm land as well as some of the side benefits and challenges it creates.

Continue reading “Solar Panels Plus Farming? Agrivoltaics Explained” »

It sounds like a scene from a spy thriller. An attacker gets through the IT defenses of a nuclear power plant and feeds it fake, realistic data, tricking its computer systems and personnel into thinking operations are normal. The attacker then disrupts the function of key plant machinery, causing it to misperform or break down. By the time system operators realize they’ve been duped, it’s too late, with catastrophic results.

The scenario isn’t fictional; it happened in 2,010 when the Stuxnet virus was used to damage nuclear centrifuges in Iran. And as ransomware and other cyberattacks around the world increase, system operators worry more about these sophisticated “false data injection” strikes. In the wrong hands, the computer models and data analytics—based on artificial intelligence—that ensure smooth operation of today’s electric grids, manufacturing facilities, and power plants could be turned against themselves.

Purdue University’s Hany Abdel-Khalik has come up with a powerful response: To make the computer models that run these cyberphysical systems both self-aware and self-healing. Using the background noise within these systems’ data streams, Abdel-Khalik and his students embed invisible, ever-changing, one-time-use signals that turn passive components into active watchers. Even if an attacker is armed with a perfect duplicate of a system’s model, any attempt to introduce falsified data will be immediately detected and rejected by the system itself, requiring no human response.