Last week, in a letter to state drinking water administrators, the EPA announced that it will no longer require cybersecurity audits of U.S. water utilities through sanitary surveys after litigation from various states and trade associations raised questions about the long-term, legal viability of the initiative to regulate water utilities cybersecurity.
Experts from the water industry who opposed the use of the EPA to be the cybersecurity industry authority doubted whether a sanitary survey was the right tool to enforce cybersecurity mandates, as the process traditionally does not involve security auditors who understand the complex nature of protecting industrial systems.
The EPA said it encourages “all states to voluntarily review public water system cybersecurity programs to ensure that any vulnerabilities are identified and corrected, and assistance is provided to systems that need help.”
Of the existing 16 critical infrastructure sectors, many, like water and wastewater, lack cybersecurity regulations. Using a voluntary approach to regulate cybersecurity was described in the National Cybersecurity Strategy as resulting in “inadequate and inconsistent outcomes.”
Emily Phelps, Director, Cyware had this to say:
“No industry or sector is immune from cyber threats. Although there are legitimate concerns about the efficacy of sanitary surveys to assess cybersecurity readiness, securing our critical infrastructure must be a top priority. To truly combat rising cyberattacks, funding is necessary. Public-private partnerships can be instrumental in bridging this gap. Leveraging expertise from private cybersecurity firms can alleviate staffing issues and provide the needed technical expertise.
“It’s crucial to address this across all sectors, ensuring there’s a unified approach to cybersecurity. Sector-specific cybersecurity frameworks, combined with cross-sector collaboration, can result in a stronger and more resilient infrastructure.”
Craig Harber, Security Evangelist: Open Systems follows with this comment:
“The IT/OT convergence occurring within our industry sectors and the nation’s critical infrastructure creates new opportunities for efficiency and innovation, while it also introduces new cybersecurity challenges that organizations must mitigate.
“These cybersecurity challenges are not limited to just attacks directed at the OT devices and systems from IT infrastructure. The IT infrastructure is equally as vulnerable to attacks originating on OT devices and systems. Both environments potentially expose new threats and create new attack vectors that, if not addressed, will become high-value targets for exploitation by threat actors.
“The EPA’s approach to create a “coalition of the willing” whereby they encourage states to voluntarily do the right thing is not likely to succeed. Cybersecurity is not a siloed problem; it is a team sport. States need to develop a collective defense strategy where security teams from each industry sector share threat intelligence and work in collaboration to identify and neutralize threats. This collaborative approach will allow security teams within an industry sector (and possibly amongst industry sectors) to fully leverage the limited resources and skilled analysts available to combat cyber threats that are increasing in velocity and sophistication.”
Public infrastructure needs to be secure. Everyone needs to work together to ensure that infrastructure that we rely on is secure or we will all fail.
AI Algorithms Detects Man In The Middle Attacks On Unmanned Military Vehicles In Seconds
Posted in Commentary with tags Security on October 17, 2023 by itnerdIn a paper published by University of South Australia and Charles Sturt University, professors have developed an algorithm to detect and intercept man-in-the-middle (MitM) attacks on unmanned military robots that aim to interrupt the operation, modify the transmitted instructions, and assume control and instruct the robots to take malicious actions.
The technical paper detailed how the robot operating system is extremely susceptible to data breaches and electronic hijacking because it is so highly networked, and can be compromised at various levels, from the core system to sub-components of sub-systems. Meanwhile, crewless vehicle systems operate under fault-tolerant modes further complicating MitM detection.
Using machine learning techniques, University researchers developed the algorithm to detect these attempts. Furthermore, the professors tested the algorithm in a replica of a bot used by the U.S. Army and recorded successful attack prevention 99% of the time, with false positives occurring in less than 2% of the tested cases.
“The advent of Industry 4, marked by the evolution in robotics, automation, and the Internet of Things, has demanded that robots work collaboratively, where sensors, actuators, and controllers need to communicate and exchange information with one another via cloud services,” comments Professor Anthony Finn, who participated in the study.
Ted Miracco, CEO, Approov Mobile Security had this comment:
“Using AI to address security concerns in military robots raises significant concerns and warrants critical examination. While the development of an algorithm to detect and intercept man-in-the-middle (MitM) attacks is a commendable effort, relying on AI for such critical tasks may not be the most responsible approach. A 99% success rate in preventing attacks may initially sound impressive, but when it comes to matters of national security and potential harm caused by compromised military robots, even a 1% failure rate is unacceptable if you are on the receiving end of the attack. MitM attacks can have severe consequences, including the potential for loss of life and significant damage and AI algorithms are probabilistic by nature, making them inherently fallible. There is always a risk of false positives or the much more disconcerting false negatives, where attacks go undetected. In the context of military operations, these errors can lead to disastrous outcomes.
“To ensure the security and integrity of military robots, deterministic solutions that provide 100% accuracy should be prioritized. While AI can play a role in augmenting security measures, it should be used as a supportive tool rather than the primary line of defense. Incorporating reliable, deterministic protocols and encryption techniques that leave no room for ambiguity or uncertainty should be the foundation of any security framework for military robots. It is imperative to prioritize deterministic solutions that eliminate any margin for error and take a comprehensive approach to security to ensure the safety and effectiveness of unmanned military systems.”
Given that these are military vehicles, I have to admit that I have concerns that they might not be secure. If they aren’t, I hope there are means in place to make them as secure as possible. As in every possible way should be taken to ensure that these military vehicles are as secure as possible.
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