Maybe the next Award should go to
the online ZOOM Professor of the Year
ASTM International has established the Professor of the Year 2022 award to recognize and reward the contributions of educators in developing students’ understanding of standards. Candidates for the award include professors and instructors at an accredited university worldwide who have demonstrated outstanding use of ASTM standards in their teaching. The ASTM International Professor of the Year Award is presented annually to recognize and reward the contributions of educators in developing students’ understanding of consensus standards.
Phalguni Mukhopadhyaya, Ph.D., a professor of building envelopes and structures at the University of Victoria, Canada, has received ASTM International’s 2022 Professor of the Year award. Throughout his career, Phalguni has been a strong promoter of ASTM standards. Before joining UVic in 2015, while employed by the National Research Council Canada (NRCC), he was an adjunct professor at Carleton University. He delivered numerous lectures to graduate and undergraduate university students, highlighting the importance of standardization and ASTM standards in the construction industry. In fact, one of his graduate students produced a thesis which has become the basis for a new ASTM standard currently under development.
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“…International Electrotechnology Commission conformity assessment could play an important role in helping organizations to avoid inadvertent greenwashing when communicating their support for the UN Sustainable Development Goals. That was one of the chief takeaways from an international roundtable on the SDGs that took place during the IEC General Meeting in San Francisco…”
IEC Final Draft International Standards
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A Review of Security Standards and Frameworks for IoT-Based Smart Environments
Nickson M. Karie, et al
Cyber Security Cooperative Research Centre Ltd., Joondalup, WA, Australia
Abstract: Assessing the security of IoT-based smart environments such as smart homes and smart cities is becoming fundamentally essential to implementing the correct control measures and effectively reducing security threats and risks brought about by deploying IoT-based smart technologies. The problem, however, is in finding security standards and assessment frameworks that best meets the security requirements as well as comprehensively assesses and exposes the security posture of IoT-based smart environments. To explore this gap, this paper presents a review of existing security standards and assessment frameworks which also includes several NIST special publications on security techniques highlighting their primary areas of focus to uncover those that can potentially address some of the security needs of IoT-based smart environments. Cumulatively a total of 80 ISO/IEC security standards, 32 ETSI standards and 37 different conventional security assessment frameworks which included 7 NIST special publications on security techniques were reviewed. To present an all-inclusive and up-to-date state-of-the-art research, the review process considered both published security standards and assessment frameworks as well as those under development. The findings show that most of the conventional security standards and assessment frameworks do not directly address the security needs of IoT-based smart environments but have the potential to be adapted into IoT-based smart environments. With this insight into the state-of-the-art research on security standards and assessment frameworks, this study helps advance the IoT field by opening new research directions as well as opportunities for developing new security standards and assessment frameworks that will address future IoT-based smart environments security concerns. This paper also discusses open problems and challenges related to IoT-based smart environments security issues. As a new contribution, a taxonomy of challenges for IoT-based smart environment security concerns drawn from the extensive literature examined during this study is proposed in this paper which also maps the identified challenges to potential proposed solutions.
New update alert! The 2022 update to the Trademark Assignment Dataset is now available online. Find 1.29 million trademark assignments, involving 2.28 million unique trademark properties issued by the USPTO between March 1952 and January 2023: https://t.co/njrDAbSpwB pic.twitter.com/GkAXrHoQ9T
— USPTO (@uspto) July 13, 2023
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