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Cybersecurity

Jon Clay • Wiley eBooks (2023)

Cybersecurity has evolved over the years to become a critical component for businesses and individuals alike. As malicious actors have grown in numbers and continued to change their tactics, techniques, and procedures (TTPs), the cybersecur...

OPENALEX DOI: https://doi.org/10.1002/9781119987635.ch22

Vulnerability Assessment of Cybersecurity for SCADA Systems

Chee‐Wooi Ten, Chen‐Ching Liu, Manimaran Govindarasu • IEEE Transactions on Power Systems (2008)

Vulnerability assessment is a requirement of NERC's cybersecurity standards for electric power systems. The purpose is to study the impact of a cyber attack on supervisory control and data acquisition (SCADA) systems. Compliance of the requ...

OPENALEX DOI: https://doi.org/10.1109/tpwrs.2008.2002298

Cybersecurity

Stevens, Tim • Research Portal (King's College London) (2024)

This chapter introduces students to cybersecurity and provides conceptual and methodological foundations for students’ further cybersecurity research. The chapter begins with an initial ‘Explore’ section that introduces the Colonial Pipelin...

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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

Human factors in cybersecurity

Esmeralda Kadëna, Marsidi Gupi • Security science journal (2021)

Technological solutions in the mobile and digital era are becoming more helpful in informing the population, educational systems, monitoring, tracking the individuals, working, and spending time from home. On the other hand, the valuable in...

OPENALEX cc-by DOI: https://doi.org/10.37458/ssj.2.2.3

The Impact and Limitations of Artificial Intelligence in Cybersecurity: A Literature Review

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 ...

OPENALEX other-oa DOI: https://doi.org/10.17148/ijarcce.2022.11912

Cybersecurity: A Pre-history

Michael Warner • Intelligence & National Security (2012)

The ‘cyber’ issue is not new, but rather has taken a half-century to develop. Indeed, it was already decades old before the general public and many senior leaders recognized its salience in the mid-1990s. It developed, moreover, along a log...

OPENALEX DOI: https://doi.org/10.1080/02684527.2012.708530

Leveraging human factors in cybersecurity: an integrated methodological approach

Alessandro Pollini, Tiziana C. Callari, Alessandra Tedeschi, Daniele Ruscio et al. • Cognition Technology & Work (2021)

Computer and Information Security (CIS) is usually approached adopting a technology-centric viewpoint, where the human components of sociotechnical systems are generally considered as their weakest part, with little consideration for the en...

OPENALEX cc-by DOI: https://doi.org/10.1007/s10111-021-00683-y PMC: 8195225

From ChatGPT to ThreatGPT: Impact of Generative AI in Cybersecurity and Privacy

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’...

OPENALEX cc-by-nc-nd DOI: https://doi.org/10.1109/access.2023.3300381

Cybersecurity

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...

OPENALEX DOI: https://doi.org/10.4018/979-8-3693-0839-4.ch001

Natural language processing in mental health applications using non-clinical texts

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 ...

OPENALEX cc-by DOI: https://doi.org/10.1017/s1351324916000383

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

Arvind Chandrasekaran • International Journal on Cybernetics & Informatics (2023)

Hints of the outbreak are detected through the modified circumstances favoring the outbreaks, like the warm weather contributing to epidermal outbreaks or the loss of sanitation leading to cholera outbreaks typically relying on the routine ...

OPENALEX Open Access DOI: https://doi.org/10.5121/ijci.2023.120205

Statistical Mechanics of Neural Networks

Haim Sompolinsky • Physics Today (1988)

A neural network is a large, highly interconnected assembly of simple elements. The elements, called neurons, are usually two-state devices that switch from one state to the other when their input exceeds a specific threshold value. In this...

OPENALEX DOI: https://doi.org/10.1063/1.881142

Neural Networks in Structural Engineering

R. Daniel VanLuchene, ROUFEI SUN • Computer-Aided Civil and Infrastructure Engineering (1990)

In the past few years literature on computational civil engineering has concentrated primarily on artificial intelligence (Al) applications involving expert system technology. This article discusses a different Al approach involving neural ...

OPENALEX cc-by-nc-nd DOI: https://doi.org/10.1111/j.1467-8667.1990.tb00377.x

Fuzzy logic, neural networks, and soft computing

Lotfi A. Zadeh • Communications of the ACM (1994)

article Free Access Share on Fuzzy logic, neural networks, and soft computing Author: Lotfi A. Zadeh Univ. of California, Berkeley Univ. of California, BerkeleyView Profile Authors Info & Claims Communications of the ACMVolume 37Issue 3Marc...

OPENALEX Open Access DOI: https://doi.org/10.1145/175247.175255

A renaissance of neural networks in drug discovery

Igor I. Baskin, David Alan Winkler, Igor V. Tetko • Expert Opinion on Drug Discovery (2016)

INTRODUCTION: Neural networks are becoming a very popular method for solving machine learning and artificial intelligence problems. The variety of neural network types and their application to drug discovery requires expert knowledge to cho...

OPENALEX DOI: https://doi.org/10.1080/17460441.2016.1201262