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Infrastructure Security Algorithm prioritizes cyber defense for power grids and critical infrastructure, mitigating ransomware, blackout risks, and cascading failures by guiding utilities, regulators, and cyber insurers on optimal security investment allocation.

Key Points

An algorithm that optimizes security spending to cut ransomware and blackout risks across critical infrastructure.

✅ Guides utilities on optimal security allocation

✅ Uses incentives to correct human risk biases

✅ Prioritizes assets to prevent cascading outages

Millions of people could suddenly lose electricity if a ransomware attack just slightly tweaked energy flow onto the U.S. power grid, as past US utility intrusions have shown.

No single power utility company has enough resources to protect the entire grid, but maybe all 3,000 of the grid's utilities could fill in the most crucial security gaps if there were a map showing where to prioritize their security investments.

Purdue University researchers have developed an algorithm to create that map. Using this tool, regulatory authorities or cyber insurance companies could establish a framework for protecting the U.S. power grid that guides the security investments of power utility companies to parts of the grid at greatest risk of causing a blackout if hacked.

Power grids are a type of critical infrastructure, which is any network - whether physical like water systems or virtual like health care record keeping - considered essential to a country's function and safety. The biggest ransomware attacks in history have happened in the past year, affecting most sectors of critical infrastructure in the U.S. such as grain distribution systems in the food and agriculture sector and the Colonial Pipeline, which carries fuel throughout the East Coast, prompting increased military preparation for grid hacks in the U.S.

With this trend in mind, Purdue researchers evaluated the algorithm in the context of various types of critical infrastructure in addition to the power sector, including electricity-sector IoT devices that interface with grid operations. The goal is that the algorithm would help secure any large and complex infrastructure system against cyberattacks.

"Multiple companies own different parts of infrastructure. When ransomware hits, it affects lots of different pieces of technology owned by different providers, so that's what makes ransomware a problem at the state, national and even global level," said Saurabh Bagchi, a professor in the Elmore Family School of Electrical and Computer Engineering and Center for Education and Research in Information Assurance and Security at Purdue. "When you are investing security money on large-scale infrastructures, bad investment decisions can mean your power grid goes out, or your telecommunications network goes out for a few days."

Protecting infrastructure from hacks by improving security investment decisions

The researchers tested the algorithm in simulations of previously reported hacks to four infrastructure systems: a smart grid, industrial control system, e-commerce platform and web-based telecommunications network. They found that use of this algorithm results in the most optimal allocation of security investments for reducing the impact of a cyberattack.

The team's findings appear in a paper presented at this year's IEEE Symposium on Security and Privacy, the premier conference in the area of computer security. The team comprises Purdue professors Shreyas Sundaram and Timothy Cason and former PhD students Mustafa Abdallah and Daniel Woods.

"No one has an infinite security budget. You must decide how much to invest in each of your assets so that you gain a bump in the security of the overall system," Bagchi said.

The power grid, for example, is so interconnected that the security decisions of one power utility company can greatly impact the operations of other electrical plants. If the computers controlling one area's generators don't have adequate security protection, as seen when Russian hackers accessed control rooms at U.S. utilities, then a hack to those computers would disrupt energy flow to another area's generators, forcing them to shut down.

Since not all of the grid's utilities have the same security budget, it can be hard to ensure that critical points of entry to the grid's controls get the most investment in security protection.

The algorithm that Purdue researchers developed would incentivize each security decision maker to allocate security investments in a way that limits the cumulative damage a ransomware attack could cause. An attack on a single generator, for instance, would have less impact than an attack on the controls for a network of generators, which sophisticated grid-disruption malware can target at scale, rather than for the protection of a single generator.

Building an algorithm that considers the effects of human behavior

Bagchi's research shows how to increase cybersecurity in ways that address the interconnected nature of critical infrastructure but don't require an overhaul of the entire infrastructure system to be implemented.

As director of Purdue's Center for Resilient Infrastructures, Systems, and Processes, Bagchi has worked with the U.S. Department of Defense, Northrop Grumman Corp., Intel Corp., Adobe Inc., Google LLC and IBM Corp. on adopting solutions from his research. Bagchi's work has revealed the advantages of establishing an automatic response to attacks, and analyses like Symantec's Dragonfly report highlight energy-sector risks, leading to key innovations against ransomware threats, such as more effective ways to make decisions about backing up data.

There's a compelling reason why incentivizing good security decisions would work, Bagchi said. He and his team designed the algorithm based on findings from the field of behavioral economics, which studies how people make decisions with money.

"Before our work, not much computer security research had been done on how behaviors and biases affect the best defense mechanisms in a system. That's partly because humans are terrible at evaluating risk and an algorithm doesn't have any human biases," Bagchi said. "But for any system of reasonable complexity, decisions about security investments are almost always made with humans in the loop. For our algorithm, we explicitly consider the fact that different participants in an infrastructure system have different biases."

To develop the algorithm, Bagchi's team started by playing a game. They ran a series of experiments analyzing how groups of students chose to protect fake assets with fake investments. As in past studies in behavioral economics, they found that most study participants guessed poorly which assets were the most valuable and should be protected from security attacks. Most study participants also tended to spread out their investments instead of allocating them to one asset even when they were told which asset is the most vulnerable to an attack.

Using these findings, the researchers designed an algorithm that could work two ways: Either security decision makers pay a tax or fine when they make decisions that are less than optimal for the overall security of the system, or security decision makers receive a payment for investing in the most optimal manner.

"Right now, fines are levied as a reactive measure if there is a security incident. Fines or taxes don't have any relationship to the security investments or data of the different operators in critical infrastructure," Bagchi said.

In the researchers' simulations of real-world infrastructure systems, the algorithm successfully minimized the likelihood of losing assets to an attack that would decrease the overall security of the infrastructure system.

Bagchi's research group is working to make the algorithm more scalable and able to adapt to an attacker who may make multiple attempts to hack into a system. The researchers' work on the algorithm is funded by the National Science Foundation, the Wabash Heartland Innovation Network and the Army Research Lab.

Cybersecurity is an area of focus through Purdue's Next Moves, a set of initiatives that works to address some of the greatest technology challenges facing the U.S. Purdue's cybersecurity experts offer insights and assistance to improve the protection of power plants, electrical grids and other critical infrastructure.

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Shenao Power Plant Controversy intensifies as the EPA, Taipower, and New Taipei officials clash over EIA findings, a marine conservation area, fisheries, public health risks, and protests against a coal-fired plant in Rueifang.

Key Points

Dispute over coal plant EIA, marine overlap, and health risks, pitting EPA and Taipower against New Taipei and residents.

✅ EPA approved EIA changes; city cites marine conservation conflict

✅ Rueifang residents protest; 400+ signatures, wardens oppose

✅ Debate centers on fisheries, public health, and coal plant impacts

The controversy over the Shenao Power Plant heated up yesterday as Environmental Protection Administration (EPA) and New Taipei City Government officials quibbled over the project’s potential impact on a fisheries conservation area and other issues, mirroring New Hampshire hydropower clashes seen elsewhere.

State-run Taiwan Power Co (Taipower) wants to build a coal-fired plant on the site of the old Shenao plant, which was near Rueifang District’s (瑞芳) Shenao Harbor.

The company’s original plan to build a new plant on the site passed an environmental impact assessment (EIA) in 2006, similar to how NEPA rules function in the US, and the EPA on March 14 approved the firm’s environmental impact difference analysis report covering proposed changes to the project.

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That decision triggered widespread controversy and protests by local residents, environmental groups and lawmakers, echoing enforcement disputes such as renewable energy pollution cases reported in Maryland.

The controversy reached a new peak after New Taipei City Mayor Eric Chu on Tuesday last week posted on Facebook that construction of wave breakers for the project would overlap with a marine conservation area that was established in November 2014.

The EPA and Taipower chose to ignore the demarcation lines of the conservation area, Chu wrote.

Dozens of residents from Rueifang and other New Taipei City districts yesterday launched a protest at 9am in front of the Legislative Yuan in Taipei, amid debates similar to the Maine power line proposal in the US, where the Health, Environment and Labor Committee was scheduled to review government reports on the project.

More than 400 Rueifang residents have signed a petition against the project, including 17 of the district’s 34 borough wardens, Anti-Shenao Plant Self-Help Group director Chen Chih-chiang said.

Ruifang residents have limited access to information, and many only became aware of the construction project after the EPA’s March 14 decision attracted widespread media coverage, Chen said,

Most residents do not support the project, despite Taipower’s claims to the contrary, Chen said.

New Power Party Executive Chairman Huang Kuo-chang, who represents Rueifang and adjacent districts, said the EPA has shown an “arrogance of power” by neglecting the potential impact on public health and the local ecology of a new coal-fired power plant, even as it moves to revise coal wastewater limits elsewhere.

Huang urged residents in Taipei, Keelung, Taoyaun and Yilan County to reject the project.

If the New Taipei City Government was really concerned about the marine conservation area, it should have spoken up at earlier EIA meetings, rather than criticizing the EIA decision after it was passed, Environmental Protection Administration Deputy Minister Chan Shun-kuei told lawmakers at yesterday’s meeting.

Chan said he wondered if Chu was using the Shenao project for political gain.

However, New Taipei City Environmental Protection Department specialist Sun Chung-wei  told lawmakers that the Fisheries Agency and other experts voiced concerns about the conservation area during the first EIA committee meeting on the proposed changes to the Shenao project on June 15 last year.

Sun was invited to speak to the legislative committee by Chinese Nationalist Party (KMT) Legislator Arthur Chen.

While the New Taipei City Fisheries and Fishing Port Affairs Management Office did not present a “new” opinion during later EIA committee meetings, that did not mean it agreed to the project, Sun said.

However, Chan said that Sun was using a fallacious argument and trying to evade responsibility, as the conservation area had been demarcated by the city government.

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Near-Field Thermophotovoltaics captures radiated energy across a nanoscale gap, using thin-film photovoltaic cells and indium gallium arsenide to boost power density and efficiency, enabling compact Army portable power from emitters via radiative heat transfer.

Key Points

A nanoscale TPV method capturing near-field photons for higher power density at lower emitter temperatures.

✅ Nanoscale gap boosts radiative transfer and usable photon flux

✅ Thin-film InGaAs cells recycle sub-band-gap photons via reflector

✅ Achieved ~5 kW/m2 power density with higher efficiency

With the addition of sensors and enhanced communication tools, providing lightweight, portable power has become even more challenging, with concepts such as power from falling snow illustrating how diverse new energy-harvesting approaches are. Army-funded research demonstrated a new approach to turning thermal energy into electricity that could provide compact and efficient power for Soldiers on future battlefields.

Hot objects radiate light in the form of photons into their surroundings. The emitted photons can be captured by a photovoltaic cell and converted to useful electric energy. This approach to energy conversion is called far-field thermophotovoltaics, or FF-TPVs, and has been under development for many years; however, it suffers from low power density and therefore requires high operating temperatures of the emitter.

The research, conducted at the University of Michigan and published in Nature Communications, demonstrates a new approach, where the separation between the emitter and the photovoltaic cell is reduced to the nanoscale, enabling much greater power output than what is possible with FF-TPVs for the same emitter temperature.

This approach, which enables capture of energy that is otherwise trapped in the near-field of the emitter is called near-field thermophotovoltaics or NF-TPV and uses custom-built photovoltaic cells and emitter designs ideal for near-field operating conditions, alongside emerging smart solar inverters that help manage conversion and delivery.

This technique exhibited a power density almost an order of magnitude higher than that for the best-reported near-field-TPV systems, while also operating at six-times higher efficiency, paving the way for future near-field-TPV applications, including remote microgrid deployments in extreme environments, according to Dr. Edgar Meyhofer, professor of mechanical engineering, University of Michigan.

"The Army uses large amounts of power during deployments and battlefield operations and must be carried by the Soldier or a weight constrained system," said Dr. Mike Waits, U.S. Army Combat Capabilities Development Command's Army Research Laboratory. "If successful, in the future near-field-TPVs could serve as more compact and higher efficiency power sources for Soldiers as these devices can function at lower operating temperatures than conventional TPVs."

The efficiency of a TPV device is characterized by how much of the total energy transfer between the emitter and the photovoltaic cell is used to excite the electron-hole pairs in the photovoltaic cell, where insights from near-light-speed conduction research help contextualize performance limits in semiconductors. While increasing the temperature of the emitter increases the number of photons above the band-gap of the cell, the number of sub band-gap photons that can heat up the photovoltaic cell need to be minimized.

"This was achieved by fabricating thin-film TPV cells with ultra-flat surfaces, and with a metal back reflector," said Dr. Stephen Forrest, professor of electrical and computer engineering, University of Michigan. "The photons above the band-gap of the cell are efficiently absorbed in the micron-thick semiconductor, while those below the band-gap are reflected back to the silicon emitter and recycled."

The team grew thin-film indium gallium arsenide photovoltaic cells on thick semiconductor substrates, and then peeled off the very thin semiconductor active region of the cell and transferred it to a silicon substrate, informing potential interfaces with home battery systems for distributed use.

All these innovations in device design and experimental approach resulted in a novel near-field TPV system that could complement distributed resources in virtual power plants for resilient operations.

"The team has achieved a record ~5 kW/m2 power output, which is an order of magnitude larger than systems previously reported in the literature," said Dr. Pramod Reddy, professor of mechanical engineering, University of Michigan.

Researchers also performed state-of-the-art theoretical calculations to estimate the performance of the photovoltaic cell at each temperature and gap size, informing hybrid designs with backup fuel cell solutions that extend battery life, and showed good agreement between the experiments and computational predictions.

"This current demonstration meets theoretical predictions of radiative heat transfer at the nanoscale, and directly shows the potential for developing future near-field TPV devices for Army applications in power and energy, communication and sensors," said Dr. Pani Varanasi, program manager, DEVCOM ARL that funded this work.

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U.S. Energy Dominance envisions deregulation, oil and gas growth, LNG exports, pipelines, and geopolitical leverage, while facing OPEC pricing power, infrastructure bottlenecks, climate policy pressures, and accelerating renewables in global markets.

Key Points

U.S. policy to grow fossil fuel output and exports via deregulation, bolstering energy security, geopolitical influence.

✅ Deregulation to expand drilling, pipelines, and export capacity

✅ Exposed to OPEC pricing, global shocks, and cost competitiveness

✅ Faces infrastructure, ESG finance, and renewables transition risks

Former President Donald Trump has consistently advocated for “energy dominance” as a cornerstone of his energy policy. In his vision, the United States would leverage its abundant natural resources to achieve energy self-sufficiency, flood global markets with cheap energy, and undercut competitors like Russia and OPEC nations. However, while the rhetoric resonates with many Americans, particularly those in energy-producing states, the pursuit of energy dominance faces significant real-world challenges that could limit its feasibility and impact.

The Energy Dominance Vision

Trump’s energy dominance strategy revolves around deregulation, increased domestic production of oil and gas, and the rollback of climate-oriented restrictions. During his presidency, he emphasized opening federal lands to drilling, accelerating the approval of pipelines, and, through an executive order, boosting uranium and nuclear energy initiatives, as well as withdrawing from international agreements like the Paris Climate Accord. The goal was not only to meet domestic energy demands but also to establish the U.S. as a major exporter of fossil fuels, thereby reducing reliance on foreign energy sources.

This approach gained traction during Trump’s first term, with the U.S. achieving record levels of oil and natural gas production. Energy exports surged, making the U.S. a net energy exporter for the first time in decades. Yet, critics argue that this policy prioritizes short-term economic gains over long-term sustainability, while supporters believe it provides a roadmap for energy security and geopolitical leverage.

Market Realities

The energy market is complex, influenced by factors beyond the control of any single administration, with energy crisis impacts often cascading across sectors. While the U.S. has significant reserves of oil and gas, the global market sets prices. Even if the U.S. ramps up production, it cannot insulate itself entirely from price shocks caused by geopolitical instability, OPEC production cuts, or natural disasters.

For instance, despite record production in the late 2010s, American consumers faced volatile gasoline prices during an energy crisis driven by $5 gas and external factors like tensions in the Middle East and fluctuating global demand. Additionally, the cost of production in the U.S. is often higher than in countries with more easily accessible reserves, such as Saudi Arabia. This limits the competitive advantage of U.S. energy producers in global markets.

Infrastructure and Environmental Concerns

A major obstacle to achieving energy dominance is infrastructure. Expanding oil and gas production requires investments in pipelines, export terminals, and refineries. However, these projects often face delays due to regulatory hurdles, legal challenges, and public opposition. High-profile pipeline projects like Keystone XL and Dakota Access have become battlegrounds between industry proponents and environmental activists, and cross-border dynamics such as support for Canadian energy projects amid tariff threats further complicate permitting, highlighting the difficulty of reconciling energy expansion with environmental and community concerns.

Moreover, the transition to cleaner energy sources is accelerating globally, with many countries committing to net-zero emissions targets. This trend could reduce the demand for fossil fuels in the long run, potentially leaving U.S. producers with stranded assets if global markets shift more quickly than anticipated.

Geopolitical Implications

Trump’s energy dominance strategy also hinges on the belief that U.S. energy exports can weaken adversaries like Russia and Iran. While increased American exports of liquefied natural gas (LNG) to Europe have reduced the continent’s reliance on Russian gas, achieving total energy independence for allies is a monumental task. Europe’s energy infrastructure, designed for pipeline imports from Russia, cannot be overhauled overnight to accommodate LNG shipments.

Additionally, the influence of major producers like Saudi Arabia and the OPEC+ alliance remains significant, even as shifts in U.S. policy affect neighbors; in Canada, some viewed Biden as better for the energy sector than alternatives. These countries can adjust production levels to influence prices, sometimes undercutting U.S. efforts to expand its market share.

The Renewable Energy Challenge

The growing focus on renewable energy adds another layer of complexity. Solar, wind, and battery storage technologies are becoming increasingly cost-competitive with fossil fuels. Many U.S. states and private companies are investing heavily in clean energy to align with consumer preferences and global trends, amid arguments that stepping away from fossil fuels can bolster national security. This shift could dampen the domestic demand for oil and gas, challenging the long-term viability of Trump’s energy dominance agenda.

Moreover, international pressure to address climate change could limit the expansion of fossil fuel infrastructure. Financial institutions and investors are increasingly reluctant to fund projects perceived as environmentally harmful, further constraining growth in the sector.

While Trump’s call for U.S. energy dominance taps into a desire for economic growth and energy security, it faces numerous challenges. Global market dynamics, infrastructure bottlenecks, environmental concerns, and the transition to renewable energy all pose significant barriers to achieving the ambitious vision.

For the U.S. to navigate these challenges effectively, a balanced approach that incorporates both traditional energy sources and investments in clean energy is likely needed. Striking this balance will require careful policymaking that considers not just immediate economic gains but also long-term sustainability and global competitiveness.

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MeyGen Tidal Stream Project delivers record 13.8 GWh to Scotland's grid, showcasing renewable ocean energy. Simec Atlantis Energy's 6 MW array of tidal turbines advances EU power goals and plans an ocean-powered data center.

Key Points

A Scottish tidal energy array exporting record power, using four 1.5 MW turbines and driving renewable innovation.

✅ Delivered 13.8 GWh to the grid in 2019, a project record.

✅ Four 1.5 MW turbines in Phase 1A, 6 MW installed.

✅ Plans include an ocean-powered data center near site.

A tidal power project in waters off the north coast of Scotland, where Scotland’s wind farms also deliver significant output, sent more than 13.8 gigawatt hours (GWh) of electricity to the grid last year, according to an operational update issued Monday. This figure – a record – almost doubled the previous high of 7.4 GWh in 2018.

In total, the MeyGen tidal stream array has now exported more than 25.5 GWh of electricity to the grid since the start of 2017, according to owners Simec Atlantis Energy. Phase 1A of the project is made up of four 1.5 megawatt (MW) turbines.

The 13.8 GWh of electricity exported in 2019 equates to the average yearly electricity consumption of roughly 3,800 “typical” homes in the U.K., where wind power records have been set recently, according to the company, with revenue generation amounting to £3.9 million ($5.09 million).

Onshore maintenance is now set to be carried out on the AR1500 turbine used by the scheme, with Atlantis aiming to redeploy the technology in spring.

In addition to the production of electricity, Atlantis is also planning to develop an “ocean-powered data centre” near the MeyGen project.

The European Commission has described “ocean energy” as being both abundant and renewable, and milestones like the biggest offshore windfarm starting U.K. supply underscore wider momentum, too. It’s estimated that ocean energy could potentially contribute roughly 10% of the European Union’s power demand by the year 2050, according to the Commission.

While tidal power has been around for decades — EDF’s 240 MW La Rance Tidal Power Plant in France was built as far back as 1966, and the country’s first offshore wind turbine has begun producing electricity — recent years have seen a number of new projects take shape.

In December last year, Scottish tidal energy business Nova Innovation was issued with a permit to develop a project in Nova Scotia, Canada, aiming to harness the Bay of Fundy tides in the region further.

In an announcement at the time, the firm said a total of 15 tidal stream turbines would be installed by the year 2023. The project, according to the firm, will produce enough electricity to power 600 homes, as companies like Sustainable Marine begin delivering tidal energy to the Nova Scotia grid.

Elsewhere, a business called Orbital Marine Power is developing what it describes as the world’s most powerful tidal turbine, with grid-supplied output already demonstrated.

The company says the turbine will have a swept area of more than 600 square meters and be able to generate “over 2 MW from tidal stream resources.” It will use a 72-meter-long “floating superstructure” to support two 1 MW turbines.

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Amazon Renewable Energy Projects advance net zero goals with a Scotland wind farm PPA and US solar farms in North Carolina and Virginia, delivering clean power, added capacity, and lower carbon emissions across cloud operations.

Key Points

Amazon initiatives adding wind and solar capacity in the UK and US to cut carbon and power cloud operations.

✅ Largest UK corporate wind PPA on Scotland Kintyre Peninsula

✅ Two US solar farms in North Carolina and Virginia

✅ 265 MW added capacity, 668,997 MWh clean power annually

Amazon is launching three renewable energy projects in the United States and the United Kingdom that support Amazon’s commitment to using net zero carbon energy by 2040.

The U.K. project is a wind farm on the Kintyre Peninsula in Scotland, aligned with a 10 GW renewables contract boosting the U.K. grid. It will generate 168,000 megawatt hours (MWh) of clean energy each year, enough to power 46,000 U.K. homes. It will be the largest corporate wind power purchase agreement (PPA) in the U.K.

Offshore wind energy in the UK is powering up rapidly, complementing onshore developments.

The other two are solar projects – one in Warren County, N.C, and the other in Prince George County, Va, reflecting broader US solar and wind growth trends nationwide. Together, they are expected to generate 500,997 MWh of energy annually. It is Amazon’s second renewable energy project in North Carolina, following the Amazon Wind Farm US East operated by Avangrid Renewables, and eighth in Virginia.

The three new Amazon wind and solar projects – which are expected to be in operation in 2012 — will provide 265 MW of additional renewable capacity, and align with U.K. wind power lessons for the U.S. market nationwide.

“In addition to the environmental benefits inherently associated with running applications in the cloud, Amazon is committed to minimizing our carbon emissions and reaching 80% renewable energy use across the company by 2024. We’ve announced eight projects this year and have more projects on the horizon – and we’re committed to investing in renewable energy as a critical step toward addressing our carbon footprint globally,” Kara Hurst, director of sustainability at Amazon, said. “With nearly 70 renewable energy projects around the globe – including 54 solar rooftops – we are making significant progress towards reaching Amazon’s company-wide commitment to reach 100% renewable energy by 2030.”

Amazon has launched 18 utility-scale wind and solar renewable energy projects to date, and in parallel, Duke Energy Renewables has acquired three California solar projects, underscoring sector momentum. They will generate over 1,600 MW of renewable capacity and deliver more than 4.6 million MWh of clean energy annually. Amazon has also installed more than 50 solar rooftops on fulfillment centers and sort centers around the world. They generate 98 MW of renewable capacity and deliver 130,000 MWh of clean energy annually.

“Today’s announcement by Amazon is another important step for North Carolina’s clean energy plan that will increase our reliance on renewables and reduce our greenhouse gas emissions,” North Carolina Governor Roy Cooper said. “Not only is this the right thing to do for our planet, it’s the right thing to do for our economy. More clean energy jobs means better jobs for North Carolina families.”

Amazon reports on its sustainability commitments, initiatives, and performance on a new web site the company recently launched. It includes information on Amazon’s carbon footprint and other metrics and updates the company’s progress towards reaching The Climate Pledge. 

“It’s wonderful to see the announcement of these new projects, helping bring more clean energy to the Commonwealth of Virginia where Amazon is already recognized as a leader in bringing renewable energy projects online,” Virginia Governor Ralph Northam said. “These solar farms help reaffirm the Commonwealth’s role as a leading producer of clean energy in the U.S., helping take the nation forward in responding to climate change.”

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