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Showing 20 of 2,514 academic articles

Cybersecurity

Isabela‐Anda Dragomir, Ilie Gligorea, Romana Oancea, Aurelian Raţiu • Ludovika Egyetemi Kiadó eBooks (2024)

CybersecurityNowadays, the Internet is integrated into society both through social interaction and business transactions, so the need for data protection and security has become increasingly important.In addition, not only computers, but al...

OPENALEX cc-by-nc-nd DOI: https://doi.org/10.36250/01195_07

A Review of Cybersecurity Incidents in the Water Sector

Amin Hassanzadeh, Amin Rasekh, Stefano Galelli, Mohsen Aghashahi et al. • Journal of Environmental Engineering (2020)

This study presents a critical review of disclosed, documented, and malicious cybersecurity incidents in the water sector to inform safeguarding efforts against cybersecurity threats. The review is presented within a technical context of in...

OPENALEX Open Access DOI: https://doi.org/10.1061/(asce)ee.1943-7870.0001686

Cybersecurity for Critical Infrastructures: Attack and Defense Modeling

Chee‐Wooi Ten, Manimaran Govindarasu, Chen‐Ching Liu • IEEE Transactions on Systems Man and Cybernetics - Part A Systems and Humans (2010)

Disruption of electric power operations can be catastrophic on national security and the economy. Due to the complexity of widely dispersed assets and the interdependences among computer, communication, and power infrastructures, the requir...

OPENALEX DOI: https://doi.org/10.1109/tsmca.2010.2048028

Cybersecurity and financial stability

Kartik Anand, Chanelle Duley, Prasanna Gai • Review of Finance (2026)

Abstract Cyber risk exposes banks to operational disruptions that can trigger runs. A bank chooses its cybersecurity by trading off protection against attacks with remaining resilient if an attack succeeds. Cybersecurity functions as a risk...

OPENALEX Open Access DOI: https://doi.org/10.1093/rof/rfaf079

Anomaly Detection for Cybersecurity of the Substations

Chee‐Wooi Ten, Junho Hong, Chen‐Ching Liu • IEEE Transactions on Smart Grid (2011)

Cybersecurity of the substations in a power system is a major issue as the substations become increasingly dependent on computer and communication networks. This paper is concerned with anomaly detection in the computer network environment ...

OPENALEX DOI: https://doi.org/10.1109/tsg.2011.2159406

Machine learning in cybersecurity: A review

Anand Handa, Ashu Sharma, Sandeep K. Shukla • Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery (2019)

Machine learning technology has become mainstream in a large number of domains, and cybersecurity applications of machine learning techniques are plenty. Examples include malware analysis, especially for zero‐day malware detection, threat a...

OPENALEX DOI: https://doi.org/10.1002/widm.1306

INTERNATIONAL CYBERSECURITY EXPERIENCE AND CYBERSECURITY MODELS

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...

OPENALEX cc-by DOI: https://doi.org/10.47649/vau.26.v80.i1.54

Cybersecurity

Cláudia Canongia, Raphael Mandarino • IGI Global eBooks (2011)

This chapter introduces the theme of cybersecurity, its importance in the actual scenario, and the challenges of the new Information Society, whose critical development factors are the technological revolution and innovation. The revolution...

OPENALEX DOI: https://doi.org/10.4018/978-1-61350-168-9.ch009

The Cybersecurity Dilemma

Ben Buchanan • Oxford University Press eBooks (2017)

Why do nations break into one another's most important computer networks? There is an obvious answer: to steal valuable information or to attack. But this isn't the full story. This book draws on often-overlooked documents leaked by Edward ...

OPENALEX DOI: https://doi.org/10.1093/acprof:oso/9780190665012.001.0001

Natural language processing

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...

OPENALEX cc-by DOI: https://doi.org/10.17356/ieejsp.v9i1.871

Natural Language Processing

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...

OPENALEX DOI: https://doi.org/10.1007/978-1-4842-5121-8_5

Natural Language Processing for Requirements Engineering: The Best Is Yet to Come

Fabiano Dalpiaz, Alessio Ferrari, Xavier Franch, Cristina Palomares • IEEE Software (2018)

As part of the growing interest in natural language processing for requirements engineering (RE), RE researchers, computational linguists, and industry practitioners met at the First Workshop on Natural Language Processing for Requirements ...

OPENALEX Open Access DOI: https://doi.org/10.1109/ms.2018.3571242

Natural Language Processing

Nils J. Nilsson • Cambridge University Press eBooks (2009)

B eyond pattern recognition of individual alphanumeric characters , whether they be of fixed font or handwritten, lies the problem of understanding strings of characters that form words, sentences, or larger assemblages of text in a “natura...

OPENALEX DOI: https://doi.org/10.1017/cbo9780511819346.009

Binarized Neural Networks: Training Deep Neural Networks with Weights and Activations Constrained to +1 or -1

Matthieu Courbariaux, Itay Hubara, Daniel Soudry, Ran El‐Yaniv et al. • arXiv (Cornell University) (2016)

We introduce a method to train Binarized Neural Networks (BNNs) - neural networks with binary weights and activations at run-time. At training-time the binary weights and activations are used for computing the parameters gradients. During t...

OPENALEX Open Access DOI: https://doi.org/10.48550/arxiv.1602.02830

Progress in neural networks

Omid M. Omidvar • Ablex Pub. Corp. eBooks (1991)

Receptive field calculus, Jan J. Koenderink visual reconstruction and data fusion, D. Suter visual perception of translational and rotational motion, Jim-Shih Liaw, Irwin K. King and Michael A. Arbib neural network for recovering observer m...

OPENALEX

A general regression neural network

Donald F. Specht • IEEE Transactions on Neural Networks (1991)

A memory-based network that provides estimates of continuous variables and converges to the underlying (linear or nonlinear) regression surface is described. The general regression neural network (GRNN) is a one-pass learning algorithm with...

OPENALEX DOI: https://doi.org/10.1109/72.97934