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Nivedita Arora, Prem Kumar • Communications of the ACM
(2025)
While researchers in both industry and academia are racing to build quantum computing (QC) platforms with viable performance and functionality, the environmental impacts of this endeavor, such as its carbon footprint, e-waste generation, mi...
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DOI: https://doi.org/10.1145/3745782
Frederik F. Flöther • Research Directions Quantum Technologies
(2023)
Abstract Quantum computing hardware and software have made enormous strides over the last years1. Questions around quantum computing’s impact on research and society have changed from “if” to “when/how”. The 2020s have been described as the...
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DOI: https://doi.org/10.1017/qut.2023.4
Jasmeet Singh, Mohit Singh • International Conference on System Modeling & Advancement in Research Trends (SMART)
(2016)
With the skyrocketing needs of rapid processing speed and miniaturization, classical computers are not able to keep up the pace with these few necessary parameters. As classical computers work on classical mechanics there expansion is at ze...
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DOI: https://doi.org/10.1109/sysmart.2016.7894533
Stefanie Barz, Elham Kashefi, Anne Broadbent, Joseph F. Fitzsimons et al. • Science
(2012)
Quantum computers, besides offering substantial computational speedups, are also expected to preserve the privacy of a computation. We present an experimental demonstration of blind quantum computing in which the input, computation, and out...
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Open Access
DOI: https://doi.org/10.1126/science.1214707
Ewa Deelman, Gurmeet Singh, Mei-Hui Su, James Blythe et al. • Scientific Programming
(2005)
This paper describes the Pegasus framework that can be used to map complex scientific workflows onto distributed resources. Pegasus enables users to represent the workflows at an abstract level without needing to worry about the particulars...
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DOI: https://doi.org/10.1155/2005/128026
Virginia M. Lo • Illinois Digital Environment for Access to Learning and Scholarship (University of Illinois at Urbana-Champaign)
(1983)
This thesis addresses the problem of task assignment in distributed systems. A distributed system is defined as any configuration of two or more processors, each with private memory, in which computations utilize the combined resources of t...
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Michel Raynal, Mukesh Singhal • Computer
(1996)
Causality is vital in distributed computations. Distributed systems can determine causality using logical clocks. Human beings use the concept of causality to plan, schedule, and execute an enterprise, or to determine a plan's feasibility. ...
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DOI: https://doi.org/10.1109/2.485846
Emmanuel C. Ogu • Routledge eBooks
(2021)
The modern realities of cybersecurity have uncovered the unpreparedness of many sectors and industries to deal with emerging threats. One of these sectors is the healthcare industry. The pervasiveness and proliferation of digital innovation...
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DOI: https://doi.org/10.1201/9781003254416
Rida Khatoun, Sherali Zeadally • IEEE Communications Magazine
(2017)
The increasing proliferation and deployment of ICT in the infrastructure of cities has increased interest in smart cities. The long-term objective of a smart city is to enhance the quality of services provided to citizens and ultimately imp...
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DOI: https://doi.org/10.1109/mcom.2017.1600297cm
Diana Marcela Cruz Castañeda • Institutional Repository of the National University Open and Distance UNAD (Universidad Nacional Abierta y a Distancia)
(2025)
This interactive module explores essential cybersecurity topics such as phishing, data protection, and digital identity. Learners will analyze real-life scenarios, build technical vocabulary, and practice communication skills while discover...
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Prof. Aarti R. Naik • International Journal of Advanced Research in Science Communication and Technology
(2024)
Cybersecurity is like a digital bouncer, standing guard over your computers, phones, and networks to keep out unwanted visitors. In the bustling digital marketplace, cybersecurity is the lock on your virtual door, protecting your valuable d...
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Open Access
DOI: https://doi.org/10.48175/ijarsct-15764
Jon R. Lindsay • International Security
(2015)
Exaggerated fears about the paralysis of digital infrastructure and the loss of competitive advantage contribute to a spiral of mistrust in U.S.-China relations. In every category of putative Chinese cyber threat, there are also considerabl...
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Open Access
DOI: https://doi.org/10.1162/isec_a_00189
Bo Yan, Cheng Hong Yang, Chuan Shi, Yong Fang et al. • ACM Transactions on Knowledge Discovery from Data
(2023)
The explosive growth of cyber attacks today, such as malware, spam, and intrusions, has caused severe consequences on society. Securing cyberspace has become a great concern for organizations and governments. Traditional machine learning ba...
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Open Access
DOI: https://doi.org/10.1145/3610228
Pan Singh Dhoni, Ravinder Kumar (2023)
The digital landscape of the modern world has witnessed a remarkable evolution over the past few decades, with technological advancements permeating every facet of our lives. While these innovations have brought forth unprecedented convenie...
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DOI: https://doi.org/10.36227/techrxiv.23968809.v1
• Choice Reviews Online
(2015)
1. Why cyberspace is wonderfulEL and complicated What is cyberspace? Why do people talk about the difference of a networked world? How does the Internet actually work? Who owns this thing? WaitEL You mean no one runs the internet? What can ...
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DOI: https://doi.org/10.5860/choice.188472
Fernando Luís Almeida • Future Internet
(2023)
The complex and interconnected infrastructure of smart cities offers several opportunities for attackers to exploit vulnerabilities and carry out cyberattacks that can have serious consequences for the functioning of cities’ critical infras...
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DOI: https://doi.org/10.3390/fi15090285
Mohamed Amine Ferrag, Fatima Alwahedi, Ammar Ayman Battah, Bilel Cherif et al. • Internet of Things and Cyber-Physical Systems
(2025)
This paper provides a comprehensive review of the future of cybersecurity through Generative AI and Large Language Models (LLMs). We explore LLM applications across various domains, including hardware design security, intrusion detection, s...
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DOI: https://doi.org/10.1016/j.iotcps.2025.01.001
Elias Dritsas, Μαρία Τρίγκα • Future Internet
(2025)
The proliferation of the Internet of Things (IoT) has transformed the digital landscape, enabling a vast array of interconnected devices to communicate and share data seamlessly. However, the rapid expansion of IoT networks has also introdu...
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DOI: https://doi.org/10.3390/fi17010030
Sebastian Kujawa, Gniewko Niedbała • Agriculture
(2021)
Artificial neural networks are one of the most important elements of machine learning and artificial intelligence. They are inspired by the human brain structure and function as if they are based on interconnected nodes in which simple proc...
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DOI: https://doi.org/10.3390/agriculture11060497
Stefano Nolfi, Domenico Parisi, Jeffrey L. Elman • Adaptive Behavior
(1994)
This article describes simulations on populations of neural networks that both evolve at the population level and learn at the individual level. Unlike other simulations, the evolutionary task (finding food in the environment) and the learn...
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DOI: https://doi.org/10.1177/105971239400300102