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Academic Articles & Research Papers
Showing 20 of 1,495 academic articles
• 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
Arunesh Sinha, Thanh H. Nguyen, Debarun Kar, Matthew Brown et al. • Journal of Cybersecurity
(2015)
Security is a critical concern around the world. In many domains from cybersecurity to sustainability, limited security resources prevent complete security coverage at all times. Instead, these limited resources must be scheduled (or alloca...
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cc-by-nc-nd
DOI: https://doi.org/10.1093/cybsec/tyv007
Artie W. Ng, Benny K.B. Kwok • Journal of Financial Regulation and Compliance
(2017)
Purpose This paper aims to explore how the regulator of a global financial centre (GFC) under an international trend of adopting emerging technologies for financial services (Fintech) articulates such opportunities and risks strategically. ...
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DOI: https://doi.org/10.1108/jfrc-01-2017-0013
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
Rossouw De Bruin, S.H. von Solms • IST-Africa Conference (IST-Africa)
(2017)
The state of national security is an evolving concern, as entities and organizations may be aware of the security of their information and their asset — the same can unfortunately not be said about the risks they may face. These risks are n...
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DOI: https://doi.org/10.23919/istafrica.2017.8102388
Zareen Syed, Ankur Padia, Tim Finin, Mathews, Lisa et al. • Maryland Shared Open Access Repository (USMAI Consortium)
(2016)
In this paper we describe the Unified Cybersecurity Ontology (UCO) that is intended to support information integration and cyber situational awareness in cybersecurity systems. The ontology incorporates and integrates heterogeneous data and...
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Open Access
DOI: https://doi.org/10.13016/m2862bg1v
Meraj Farheen Ansari, Bibhu Dash, Pawankumar Sharma, Nikhitha Yathiraju • IJARCCE
(2022)
Artificial intelligence is opening up new avenues for value generation in enterprises, industries, communities, and society as a whole.Technology has been researched to be relevant in many aspects of the world.This factor has made it to be ...
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other-oa
DOI: https://doi.org/10.17148/ijarcce.2022.11912
Maanak Gupta, Charankumar Akiri, Kshitiz Aryal, Eli Parker et al. • IEEE Access
(2023)
Undoubtedly, the evolution of Generative AI (GenAI) models has been the highlight of digital transformation in the year 2022. As the different GenAI models like ChatGPT and Google Bard continue to foster their complexity and capability, it’...
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cc-by-nc-nd
DOI: https://doi.org/10.1109/access.2023.3300381
Fabien Charmet, Harry Chandra Tanuwidjaja, Solayman Ayoubi, Pierre-François Gimenez et al. • Annals of Telecommunications
(2022)
Abstract With the extensive application of deep learning (DL) algorithms in recent years, e.g., for detecting Android malware or vulnerable source code, artificial intelligence (AI) and machine learning (ML) are increasingly becoming essent...
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DOI: https://doi.org/10.1007/s12243-022-00926-7
Eric C. K. Cheng, Tianchong Wang • Information
(2022)
Cybersecurity threats have grown exponentially, posing a heavy burden on organisations. Higher Education Institutions (HEIs) are particularly vulnerable, and their cybersecurity issues are receiving greater attention. However, existing rese...
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DOI: https://doi.org/10.3390/info13040192
Ingrid Zukerman A, Diane J. Litman • User Modeling and User-Adapted Interaction
(2001)
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Open Access
DOI: https://doi.org/10.1023/a:1011174108613
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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cc-by-nc-nd
DOI: https://doi.org/10.1162/coli_r_00312
Jakob Gawlikowski, Cedrique Rovile Njieutcheu Tassi, Mohsin Ali, Jong‐Seok Lee et al. • Artificial Intelligence Review
(2023)
Abstract Over the last decade, neural networks have reached almost every field of science and become a crucial part of various real world applications. Due to the increasing spread, confidence in neural network predictions has become more a...
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DOI: https://doi.org/10.1007/s10462-023-10562-9
Ian Parberry, Michael R. Garey, Albert R. Meyer • The MIT Press eBooks
(1994)
Neural networks usually work adequately on small problems but can run into trouble when they are scaled up to problems involving large amounts of input data. Circuit Complexity and Neural Networks addresses the important question of how wel...
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DOI: https://doi.org/10.7551/mitpress/1836.001.0001
Octavian-Eugen Ganea, Gary Bécigneul, Thomas Hofmann • arXiv (Cornell University)
(2018)
Hyperbolic spaces have recently gained momentum in the context of machine learning due to their high capacity and tree-likeliness properties. However, the representational power of hyperbolic geometry is not yet on par with Euclidean geomet...
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Open Access
DOI: https://doi.org/10.48550/arxiv.1805.09112
Manish Kumar Mishra, Monika Srivastava • International Conference on Advances in Engineering & Technology Research
(2014)
In this paper, An Artificial Neural Network or ANN, its various characteristics and business applications. In this paper also show that “what are neural networks” and “Why they are so important in today's Artificial intelligence?” Because v...
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DOI: https://doi.org/10.1109/icaetr.2014.7012785
Qiming Zhang, Haoyi Yu, Martina Barbiero, Baokai Wang et al. • Light Science & Applications
(2019)
The growing demands of brain science and artificial intelligence create an urgent need for the development of artificial neural networks (ANNs) that can mimic the structural, functional and biological features of human neural networks. Nano...
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DOI: https://doi.org/10.1038/s41377-019-0151-0
PMC: 6504946
Mike Schuster, Kuldip K. Paliwal • IEEE Transactions on Signal Processing
(1997)
In the first part of this paper, a regular recurrent neural network (RNN) is extended to a bidirectional recurrent neural network (BRNN). The BRNN can be trained without the limitation of using input information just up to a preset future f...
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DOI: https://doi.org/10.1109/78.650093
James Cannady (1998)
Misuse detection is the process of attempting to identify instances of network attacks by comparing current activity against the expected actions of an intruder. Most current approaches to misuse detection involve the use of rule-based expe...
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Daniel J. Amit, Hanoch Gutfreund, Haim Sompolinsky • Physical Review A
(1985)
Two dynamical models, proposed by Hopfield and Little to account for the collective behavior of neural networks, are analyzed. The long-time behavior of these models is governed by the statistical mechanics of infinite-range Ising spin-glas...
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DOI: https://doi.org/10.1103/physreva.32.1007