IEEE Technology Policy and Ethics

November 2021

Measuring Trust for Accountability in an Untrusted Digital World

By Professor Lisa G. Short, Founder P&L Digital Edge [UK] and Hephaestus Collective [UK], and Chief Research Officer & Group Chair Global Foundation for Cyber Studies & Research [Washington] 

Over the past year, there have been quantum leaps in innovation, digital transformation, online and social media adoption, and in the growth trajectories of Environmental, Social, and Governmental (ESG) assets [1, 2, 3, 4]. At odds with this, which diminishes their collective socioeconomic benefit, is the impact from vertiginous surges in cyber-attacks/malicious cyber activities, unprecedented rises in misinformation, disinformation, social engineering, and online harm behaviors. These include disproportionate increases in gender abuse and cyberbullying [5, 6, 7, 5]. Collectively, there is a commonality in the characteristics of these surges. They are borderless, ubiquitous, have endemic trust issues, and they negatively impact many people as well as the planet.

There is a real urgency to advance disruptive technology that can ensure authentic impact data metrics, which will spur positive human cultures and improvements, and to have these technologies adopted by social media giants ahead of potential impugnment due to compliance or regulatory breaches. The pressing question of Society 5.0 is how can foundational blockchain technologies utilize data to eliminate perpetrators of these abuses, online harms, and untrustworthy information to result in positive ESG outcomes that align to the objectives of the Sustainable Development Goals (SDG’s)?

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Best Practices for Community Engagement in Smart Cities

By Yinka Ajibola and Rabia Daud, Ball State University; Rebecca Hammons, Associate Professor, Center for Information & Communication Sciences

Effective smart city solutions are built on strong community engagement, which serves as a collaborative means for making policies and decisions. It allows community members to participate in the conversation, enhancing community support for smart city initiatives.

We wanted to learn how community engagement and inclusiveness are addressed in contemporary smart city initiatives and conducted interviews with five city planners. This article describes the outcomes of our research.

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Dietary Changes and SARS-CoV-2: Strengthening Immune Response

By Shagufta Henna, Senior member IEEE; Rajinder Singh, Letterkenny Institute of Technology, Letterkenny, Co. Donegal

SARS-CoV-2 is the new strain of highly contagious coronavirus affecting the world in diverse ways, such as economic, social, and health-wise. Recent studies have investigated the importance of human innate immune response in Covid-19 pathophysiology. These studies show that different social and environmental factors, such as an unbalanced diet and lifestyle changes can result in psychological and physicochemical stress resulting in a compromised immune response.   This article aims to determine the correlation between diet and the mortality rate experienced by different countries. Moreover, it compares the obesity and undernourishment data of the countries with Covid infections to reveal the relationships. The work uses machine learning algorithms to analyze this data to predict Covid-19 deaths.

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An Overview on Quantum Image Watermarking for Security of COVID-19 Patient Record

By Ashima Anand, Department of Computer Science and Engineering, Thapar Institute of Engineering and Technology, Patiala, Punjab, India; Amit Kumar Singh, Computer Science and Engineering Department at the National Institute of Technology Patna, Bihar, India

The basics of Quantum Information Processing (QIP) are summarized below, in addition to a comprehensive survey of quantum image-based data hiding techniques. QIP is more efficient and provides higher security than classical information processing. A comparative analysis of the Flexible Representation of Quantum Images (FRQI) and Novel Enhanced Quantum Representation (NEQR) model is also presented. QIP is used in various potential applications, hence offering an interesting and demanding area for researchers [1]. Some of the important applications include medicine, military, environmental monitoring, image processing, communications, computations, and cryptography. This article focuses on the processing of information that can be represented using quantum mechanics [2].

Furthermore, coherence, entanglement, and superposition of quantum states make quantum computing more suitable than its classical counterpart for information storage and processing [1], [3]. In QIP, a qubit signifies the smallest data in a quantum system, which is the combination of two ground states, 0 and 1. Apart from the representation of grounded states, it also represents its superposition [4], [5]. Furthermore, quantum computation has been identified as a potential solution to the current challenge resulting from the failure of Moore’s law [6]. Recently, quantum information hiding approaches are more popular for protecting the quantum medical images for smart healthcare applications [1], [5]. Securing patient data over secure channels, or IoT networks is very important for data confidentiality, ownership identification, and helps prevent patient identity theft, copyright violations, and illegal distribution [2], [7].

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IEEE Technology Policy and Ethics Editorial Board


Dr. Ali Kashif Bashir
Editor-in-Chief

Dr. Syed Hassan Ahmed

Dr. Onur Alparslan

Dr. Adriana Bankston

Dr. Muhammad Bilal

Dr. Syed Ahmad Chan Bukhari

Dr. Syed Hashim Raza Bukhari

Dr. Ankur Chattopadhyay

Dr. Junaid Chaudhry

Dr. Kapal Dev

Dr. Yasir Faheem

Dr. Prasun Ghosal

Dr. Tahir Hameed

Dr. Sinan Hanay

Dr. Shagufta Henna

Dr. Fatima Hussain

Dr. Steve Jones

Dr. Mohammad Saud Khan

Dr. Mohammad Khosravi

Olga Kiconco

Dr. Jerry Chun-Wei Lin

Matteo B. Lodi

Dr. Gunasekaran Manogaran

Dr. Varun G Menon

Dr. Shakil Muhammad

Dr. Zeeshan Pervez

Dr. Shalli Rani

Dr. Mubashir Husain Rehmani
Dr. Kashif Saleem
Dr. Manik Sharma

Dr. Amit Kumar Singh