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Showing 20 of 1,870 academic articles
Kristen E. Eichensehr • SSRN Electronic Journal
(2016)
Calls for public-private partnerships to address U.S. cybersecurity failures have become ubiquitous. But the academic literature and public debate have not fully appreciated the extent to which the United States has already backed into a de...
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Open Access
Eduard Fosch‐Villaronga, Tobias Mahler • Computer law & security review
(2021)
This paper addresses the interplay between robots, cybersecurity, and safety from a European legal perspective, a topic under-explored by current technical and legal literature. The legal framework, together with technical standards, is a n...
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DOI: https://doi.org/10.1016/j.clsr.2021.105528
Dipankar Dasgupta, Zahid Akhtar, Sajib Sen • The Journal of Defense Modeling and Simulation Applications Methodology Technology
(2020)
Today’s world is highly network interconnected owing to the pervasiveness of small personal devices (e.g., smartphones) as well as large computing devices or services (e.g., cloud computing or online banking), and thereby each passing minut...
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DOI: https://doi.org/10.1177/1548512920951275
Eric C. Cosman • Wiley eBooks
(2026)
This chapter provides a general introduction to the cybersecurity, along with references to other sources of more detailed information. It also provides an overview of some of the basic concepts that are the foundation of any cybersecurity ...
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Open Access
DOI: https://doi.org/10.1002/9781394438105.ch27
Benoît Dupont, Chad Whelan • Journal of Criminology
(2021)
‘Cybercrime’ is an umbrella concept used by criminologists to refer to traditional crimes that are enhanced via the use of networked technologies (i.e. cyber-enabled crimes) and newer forms of crime that would not exist without networked te...
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DOI: https://doi.org/10.1177/00048658211003925
Ben D. Sawyer, Peter A. Hancock • Human Factors The Journal of the Human Factors and Ergonomics Society
(2018)
OBJECTIVE: This work assesses the efficacy of the "prevalence effect" as a form of cyberattack in human-automation teaming, using an email task. BACKGROUND: Under the prevalence effect, rare signals are more difficult to detect, even when t...
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Open Access
DOI: https://doi.org/10.1177/0018720818780472
Jeroen van der Ham • Digital Threats Research and Practice
(2021)
The term “cybersecurity” has gained widespread popularity but has not been defined properly. The term is used by many different people to mean different things in different contexts. A better understanding of “cybersecurity” will allow us a...
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Open Access
DOI: https://doi.org/10.1145/3442445
Aaron Ezroj • Routledge eBooks
(2026)
Cybersecurity professionals should stay current on developments with whistleblowing systems. Countries have rapidly moved to enact laws aimed at protecting critical infrastructure. They have also been moving to protect personal privacy. The...
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DOI: https://doi.org/10.4324/9781003589587-8
Jason R. C. Nurse, Sadie Creese, Michael H. Goldsmith, Koen Lamberts (2011)
Usability is arguably one of the most significant social topics and issues within the field of cybersecurity today. Supported by the need for confidentiality, integrity, availability and other concerns, security features have become standar...
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Open Access
DOI: https://doi.org/10.1109/css.2011.6058566
Zina Zinelovna Nurysh, E.I. Isibaeva, Zhanna B. Shayakhmetova, Darkan Serik • «Вестник Атырауского университета имени Халела Досмухамедова»
(2026)
In the article, the authors explore the state's capabilities in cybersecurity issues directly related to foreign national security experience. The mechanisms of public administration will be considered in order to improve cybersecurity in t...
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DOI: https://doi.org/10.47649/vau.26.v80.i1.54
Priyanka Mahesh, Akash Tiwari, Chenglu Jin, P. R. Kumar et al. • Proceedings of the IEEE
(2020)
The Industry 4.0 concept promotes a digital manufacturing (DM) paradigm that can enhance quality and productivity, which reduces inventory and the lead time for delivering custom, batch-of-one products based on achieving convergence of addi...
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DOI: https://doi.org/10.1109/jproc.2020.3032074
S. Srisakthi, C. V. Suresh Babu • Advances in business information systems and analytics book series
(2024)
The chapter thoroughly explores the multifaceted cybersecurity landscape's significance in safeguarding business intelligence amid rapid technological evolution. It starts with an overview of cybersecurity, defining its scope, exploring its...
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DOI: https://doi.org/10.4018/979-8-3693-0839-4.ch001
Rafael A. Calvo, David Milne, M. Sazzad Hussain, Helen M Christensen • Natural Language Engineering
(2017)
Abstract Natural language processing (NLP) techniques can be used to make inferences about peoples’ mental states from what they write on Facebook, Twitter and other social media. These inferences can then be used to create online pathways ...
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DOI: https://doi.org/10.1017/s1351324916000383
Diane J. Litman • Proceedings of the AAAI Conference on Artificial Intelligence
(2016)
Advances in natural language processing (NLP) and educational technology, as well as the availability of unprecedented amounts of educationally-relevant text and speech data, have led to an increasing interest in using NLP to address the ne...
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Open Access
DOI: https://doi.org/10.1609/aaai.v30i1.9879
V Geetha, C.K. Gomathy, Mr.D.Sri Datta Vallab Yaratha Yagn, Sai Praneesh • INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
(2023)
Natural Language Processing (NLP) is a rapidly evolving field in the intersection of computer science, artificial intelligence, and linguistics. This article provides an overview of NLP, tracing its historical development from early rule-ba...
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Open Access
DOI: https://doi.org/10.55041/ijsrem27094
Renáta Németh, Júlia Koltai • Intersections
(2023)
Natural language processing (NLP) methods are designed to automatically process and analyze large amounts of textual data. The integration of this new-generation toolbox into sociology faces many challenges. NLP was institutionalized outsid...
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DOI: https://doi.org/10.17356/ieejsp.v9i1.871
Stéphane M. Meystre, Peter John Haug • BMC Medical Informatics and Decision Making
(2005)
BACKGROUND: The medical problem list is an important part of the electronic medical record in development in our institution. To serve the functions it is designed for, the problem list has to be as accurate and timely as possible. However,...
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DOI: https://doi.org/10.1186/1472-6947-5-30
PMC: 1208893
Joydeep Bhattacharjee • Apress eBooks
(2019)
In the previous chapters, we took a look at different machine learning algorithms and then we worked on how to work with data for those algorithms. Those data sets were largely tabular, and the individual values were either numerical or cat...
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DOI: https://doi.org/10.1007/978-1-4842-5121-8_5
Xavier Vasques • Wiley eBooks
(2024)
This book chapter focuses on natural language processing (NLP) and covers various applications such as classifying messages as spam or ham, sentiment analysis, and the use of Bidirectional Encoder Representations from Transformers (BERT). T...
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DOI: https://doi.org/10.1002/9781394220649.ch4
Yang Liu, Meng Zhang • Computational Linguistics
(2017)
Deep learning has attracted dramatic attention in recent years, both in academia and industry. The popular term deep learning generally refers to neural network methods. Indeed, many core ideas and methods were born years ago in the era of ...
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DOI: https://doi.org/10.1162/coli_r_00312